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• Awesome Scalability

An updated and organized reading list for illustrating the patterns of scalable, reliable, and performant large-scale systems. Concepts are explained in the articles of prominent engineers and credible references. Case studies are taken from battle-tested systems that serve millions to billions of users.

== If your system goes slow

• Understand your problems: scalability problem (fast for a single user but slow under heavy load) or performance problem (slow for a single user) by reviewing some [design principles]] - (principle) and checking how [scalability]] - (scalability) and [performance]] - (performance) problems are solved at tech companies. The section of [intelligence]] - (intelligence) are created for those who work with data and machine learning at big data and deep learning scale.

== If your system goes down

• “Even if you lose all one day, you can build all over again if you retain your calm!” - Thuan Pham, former CTO of Uber. So, keep calm and mind the availability - availability and stability - stability matters!

== If you are having a system design interview

• Look at some interview notes - (interview) and real-world architectures with completed diagrams - (architecture) to get a comprehensive view before designing your system on whiteboard. You can check some talks - (talk) of engineers from tech giants to know how they build, scale, and optimize their systems. There are some selected books - (book) for you (most of them are free)! Good luck!

== If you are building your dream team

• The goal of scaling team is not growing team size but increasing team output and value. You can find out how tech companies reach that goal in various aspects: hiring, management, organization, culture, and communication in the [organization]] - (organization) section.

== Content

• Principle - (principle)
• Scalability - (scalability)
• Availability - (availability)
• Stability - (stability)
• Performance - (performance)
• Intelligence - (intelligence)
• Architecture - (architecture)
• Interview - (interview)
• Organization - (organization)
• Talk - (talk)
• Book - (book)

== Principle

• Lessons from Giant-Scale Services - Eric Brewer, UC Berkeley & Google - (https://people.eecs.berkeley.edu/~brewer/papers/GiantScale-IEEE.pdf)
• Designs, Lessons and Advice from Building Large Distributed Systems - Jeff Dean, Google - (https://www.cs.cornell.edu/projects/ladis2009/talks/dean-keynote-ladis2009.pdf)
• How to Design a Good API & Why it Matters - Joshua Bloch, CMU & Google - (https://www.infoq.com/presentations/effective-api-design)
• On Efficiency, Reliability, Scaling - James Hamilton, VP at AWS - (http://mvdirona.com/jrh/work/)
• Things to Keep in Mind When Building a Platform for the Enterprise - Heidi Williams, VP Platform at Box - (https://blog.box.com/blog/4-things-to-keep-in-mind-when-building-a-platform-for-the-enterprise/)
• Principles of Chaos Engineering - (https://www.usenix.org/conference/srecon17americas/program/presentation/rosenthal)
• Finding the Order in Chaos - (https://www.usenix.org/conference/srecon16/program/presentation/lueder)
• The Twelve-Factor App - (https://12factor.net/)
• Clean Architecture - (https://8thlight.com/blog/uncle-bob/2012/08/13/the-clean-architecture.html)
• High Cohesion and Low Coupling - (http://www.math-cs.gordon.edu/courses/cs211/lectures-2009/Cohesion,Coupling,MVC.pdf)
• Monoliths and Microservices - (https://medium.com/@SkyscannerEng/monoliths-and-microservices-8c65708c3dbf)
• CAP Theorem and Trade-offs - (http://robertgreiner.com/2014/08/cap-theorem-revisited/)
• CP Databases and AP Databases - (https://blog.andyet.com/2014/10/01/right-database)
• Stateless vs Stateful Scalability - (http://ithare.com/scaling-stateful-objects/)
• Scale Up vs Scale Out - (https://www.brianjgraf.com/scalability-scale-up-scale-out-care/)
• Scale Up vs Scale Out - Hidden Costs - (https://blog.codinghorror.com/scaling-up-vs-scaling-out-hidden-costs/)
• ACID and BASE - (https://neo4j.com/blog/acid-vs-base-consistency-models-explained/)
• Blocking/Non-Blocking and Sync/Async - (https://blogs.msdn.microsoft.com/csliu/2009/08/27/io-concept-blockingnon-blocking-vs-syncasync/)
• Performance and Scalability of Databases - (https://use-the-index-luke.com/sql/testing-scalability)
• Database Isolation Levels and Effects on Performance and Scalability - (http://highscalability.com/blog/2011/2/10/database-isolation-levels-and-their-effects-on-performance-a.html)
• The Probability of Data Loss in Large Clusters - (https://martin.kleppmann.com/2017/01/26/data-loss-in-large-clusters.html)
• Data Access for Highly-Scalable Solutions - Using SQL, NoSQL, and Polyglot Persistence - (https://docs.microsoft.com/en-us/previous-versions/msp-n-p/dn271399(v=pandp.10))
• SQL vs NoSQL - (https://www.upwork.com/hiring/data/sql-vs-nosql-databases-whats-the-difference/)
• SQL vs NoSQL - Lesson Learned at Salesforce - (https://engineering.salesforce.com/sql-or-nosql-9eaf1d92545b)
• NoSQL Databases - Survey and Decision Guidance - (https://medium.baqend.com/nosql-databases-a-survey-and-decision-guidance-ea7823a822d)
• How Sharding Works - (https://medium.com/@jeeyoungk/how-sharding-works-b4dec46b3f6)
• Consistent Hashing - (http://www.tom-e-white.com/2007/11/consistent-hashing.html)
• Consistent Hashing - Algorithmic Tradeoffs - (https://medium.com/@dgryski/consistent-hashing-algorithmic-tradeoffs-ef6b8e2fcae8)
• Don’t be tricked by the Hashing Trick - (https://booking.ai/dont-be-tricked-by-the-hashing-trick-192a6aae3087)
• Uniform Consistent Hashing at Netflix - (https://medium.com/netflix-techblog/distributing-content-to-open-connect-3e3e391d4dc9)
• Eventually Consistent - Werner Vogels, CTO at Amazon - (https://www.allthingsdistributed.com/2008/12/eventually_consistent.html)
• Cache is King - (https://www.stevesouders.com/blog/2012/10/11/cache-is-king/)
• Anti-Caching - (https://www.the-paper-trail.org/post/2014-06-06-paper-notes-anti-caching/)
• Understand Latency - (http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it)
• Latency Numbers Every Programmer Should Know - (http://norvig.com/21-days.html#answers)
• The Calculus of Service Availability - (https://queue.acm.org/detail.cfm?id=3096459&__s=dnkxuaws9pogqdnxmx8i)
• Architecture Issues When Scaling Web Applications - Bottlenecks, Database, CPU, IO - (http://highscalability.com/blog/2014/5/12/4-architecture-issues-when-scaling-web-applications-bottlene.html)
• Common Bottlenecks - (http://highscalability.com/blog/2012/5/16/big-list-of-20-common-bottlenecks.html)
• Life Beyond Distributed Transactions - (https://queue.acm.org/detail.cfm?id=3025012)
• Relying on Software to Redirect Traffic Reliably at Various Layers - (https://www.usenix.org/conference/srecon15/program/presentation/taveira)
• Breaking Things on Purpose - (https://www.usenix.org/conference/srecon17americas/program/presentation/andrus)
• Avoid Over Engineering - (https://medium.com/@rdsubhas/10-modern-software-engineering-mistakes-bc67fbef4fc8)
• Scalability Worst Practices - (https://www.infoq.com/articles/scalability-worst-practices)
• Use Solid Technologies - Don’t Re-invent the Wheel - Keep It Simple! - (https://medium.com/@DataStax/instagram-engineerings-3-rules-to-a-scalable-cloud-application-architecture-c44afed31406)
• Simplicity by Distributing Complexity - (https://jobs.zalando.com/tech/blog/simplicity-by-distributing-complexity/)
• Why Over-Reusing is Bad - (http://tech.transferwise.com/why-over-reusing-is-bad/)
• Performance is a Feature - (https://blog.codinghorror.com/performance-is-a-feature/)
• Make Performance Part of Your Workflow - (https://codeascraft.com/2014/12/11/make-performance-part-of-your-workflow/)
• The Benefits of Server Side Rendering over Client Side Rendering - (https://medium.com/walmartlabs/the-benefits-of-server-side-rendering-over-client-side-rendering-5d07ff2cefe8)
• Automate and Abstract - Lessons at Facebook - (https://architecht.io/lessons-from-facebook-on-engineering-for-scale-f5716f0afc7a)
• AWS Do's and Don'ts - (https://8thlight.com/blog/sarah-sunday/2017/09/15/aws-dos-and-donts.html)
• (UI) Design Doesn’t Scale - Stanley Wood, Design Director at Spotify - (https://medium.com/@hellostanley/design-doesnt-scale-4d81e12cbc3e)
• Linux Performance - (http://www.brendangregg.com/linuxperf.html)
• Building Fast and Resilient Web Applications - Ilya Grigorik - (https://www.igvita.com/2016/05/20/building-fast-and-resilient-web-applications/)
• Accept Partial Failures, Minimize Service Loss - (https://www.usenix.org/conference/srecon17asia/program/presentation/wang_daxin)
• Design for Resiliency - (http://highscalability.com/blog/2012/12/31/designing-for-resiliency-will-be-so-2013.html)
• Design for Self-healing - (https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/self-healing)
• Design for Scaling Out - (https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/scale-out)
• Design for Evolution - (https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/design-for-evolution)
• Learn from Mistakes - (http://highscalability.com/blog/2013/8/26/reddit-lessons-learned-from-mistakes-made-scaling-to-1-billi.html)

== Scalability

• Microservices and Orchestration - (https://martinfowler.com/microservices/)
  • Domain-Oriented Microservice Architecture at Uber - (https://eng.uber.com/microservice-architecture/)
  • Container (8 parts) at Riot Games - (https://engineering.riotgames.com/news/thinking-inside-container)
  • Containerization at Pinterest - (https://medium.com/@Pinterest_Engineering/containerization-at-pinterest-92295347f2f3)
  • Evolution of Container Usage at Netflix - (https://medium.com/netflix-techblog/the-evolution-of-container-usage-at-netflix-3abfc096781b)
  • Dockerizing MySQL at Uber - (https://eng.uber.com/dockerizing-mysql/)
  • Testing of Microservices at Spotify - (https://labs.spotify.com/2018/01/11/testing-of-microservices/)
  • Docker in Production at Treehouse - (https://medium.com/treehouse-engineering/lessons-learned-running-docker-in-production-5dce99ece770)
  • Microservice at SoundCloud - (https://developers.soundcloud.com/blog/inside-a-soundcloud-microservice)
  • Operate Kubernetes Reliably at Stripe - (https://stripe.com/blog/operating-kubernetes)
  • Cross-Cluster Traffic Mirroring with Istio at Trivago - (https://tech.trivago.com/2020/06/10/cross-cluster-traffic-mirroring-with-istio/)
  • Agrarian-Scale Kubernetes (3 parts) at New York Times - (https://open.nytimes.com/agrarian-scale-kubernetes-part-3-ee459887ed7e)
  • Nanoservices at BBC - (https://medium.com/bbc-design-engineering/powering-bbc-online-with-nanoservices-727840ba015b)
  • PowerfulSeal - Testing Tool for Kubernetes Clusters at Bloomberg - (https://www.techatbloomberg.com/blog/powerfulseal-testing-tool-kubernetes-clusters/)
  • Conductor - Microservices Orchestrator at Netflix - (https://medium.com/netflix-techblog/netflix-conductor-a-microservices-orchestrator-2e8d4771bf40)
  • Docker Containers that Power Over 100.000 Online Shops at Shopify - (https://shopifyengineering.myshopify.com/blogs/engineering/docker-at-shopify-how-we-built-containers-that-power-over-100-000-online-shops)
  • Microservice Architecture at Medium - (https://medium.engineering/microservice-architecture-at-medium-9c33805eb74f)
  • From bare-metal to Kubernetes at Betabrand - (https://boxunix.com/post/bare_metal_to_kube/)
  • Kubernetes at Tinder - (https://medium.com/tinder-engineering/tinders-move-to-kubernetes-cda2a6372f44)
  • Kubernetes at Quora - (https://www.quora.com/q/quoraengineering/Adopting-Kubernetes-at-Quora)
  • Kubernetes Platform at Pinterest - (https://medium.com/pinterest-engineering/building-a-kubernetes-platform-at-pinterest-fb3d9571c948)
  • Microservices at Nubank - (https://medium.com/building-nubank/microservices-at-nubank-an-overview-2ebcb336c64d)
  • Payment Transaction Management in Microservices at Mercari - (https://engineering.mercari.com/en/blog/entry/20210831-2019-06-07-155849/)
  • GRIT - Protocol for Distributed Transactions across Microservices at eBay - (https://tech.ebayinc.com/engineering/grit-a-protocol-for-distributed-transactions-across-microservices/)
  • Rubix - Kubernetes at Palantir - (https://medium.com/palantir/introducing-rubix-kubernetes-at-palantir-ab0ce16ea42e)
  • CRISP - Critical Path Analysis for Microservice Architectures at Uber - (https://eng.uber.com/crisp-critical-path-analysis-for-microservice-architectures/)

• Distributed Caching - (https://www.wix.engineering/post/scaling-to-100m-to-cache-or-not-to-cache)
  • EVCache - Distributed In-memory Caching at Netflix - (https://medium.com/netflix-techblog/caching-for-a-global-netflix-7bcc457012f1)
  • EVCache Cache Warmer Infrastructure at Netflix - (https://medium.com/netflix-techblog/cache-warming-agility-for-a-stateful-service-2d3b1da82642)
  • Memsniff - Robust Memcache Traffic Analyzer at Box - (https://blog.box.com/blog/introducing-memsniff-robust-memcache-traffic-analyzer/)
  • Caching with Consistent Hashing and Cache Smearing at Etsy - (https://codeascraft.com/2017/11/30/how-etsy-caches/)
  • Analysis of Photo Caching at Facebook - (https://code.facebook.com/posts/220956754772273/an-analysis-of-facebook-photo-caching/)
  • Cache Efficiency Exercise at Facebook - (https://code.facebook.com/posts/964122680272229/web-performance-cache-efficiency-exercise/)
  • tCache - Scalable Data-aware Java Caching at Trivago - (http://tech.trivago.com/2015/10/15/tcache/)
  • Pycache - In-process Caching at Quora - (https://engineering.quora.com/Pycache-lightning-fast-in-process-caching)
  • Reduce Memcached Memory Usage by 50% at Trivago - (http://tech.trivago.com/2017/12/19/how-trivago-reduced-memcached-memory-usage-by-50/)
  • Caching Internal Service Calls at Yelp - (https://engineeringblog.yelp.com/2018/03/caching-internal-service-calls-at-yelp.html)
  • Estimating the Cache Efficiency using Big Data at Allegro - (https://allegro.tech/2017/01/estimating-the-cache-efficiency-using-big-data.html)
  • Distributed Cache at Zalando - (https://jobs.zalando.com/tech/blog/distributed-cache-akka-kubernetes/)
  • Application Data Caching from RAM to SSD at NetFlix - (https://medium.com/netflix-techblog/evolution-of-application-data-caching-from-ram-to-ssd-a33d6fa7a690)
  • Tradeoffs of Replicated Cache at Skyscanner - (https://medium.com/@SkyscannerEng/the-tradeoffs-of-a-replicated-cache-b6680c722f58)
  • Avoiding Cache Stampede at DoorDash - (https://blog.doordash.com/avoiding-cache-stampede-at-doordash-55bbf596d94b)
  • Location Caching with Quadtrees at Yext - (http://engblog.yext.com/post/geolocation-caching)
  • Video Metadata Caching at Vimeo - (https://medium.com/vimeo-engineering-blog/video-metadata-caching-at-vimeo-a54b25f0b304)
  • Scaling Redis at Twitter - (http://highscalability.com/blog/2014/9/8/how-twitter-uses-redis-to-scale-105tb-ram-39mm-qps-10000-ins.html)
  • Scaling Job Queue with Redis at Slack - (https://slack.engineering/scaling-slacks-job-queue-687222e9d100)
  • Moving persistent data out of Redis at Github - (https://githubengineering.com/moving-persistent-data-out-of-redis/)
  • Storing Hundreds of Millions of Simple Key-Value Pairs in Redis at Instagram - (https://engineering.instagram.com/storing-hundreds-of-millions-of-simple-key-value-pairs-in-redis-1091ae80f74c)
  • Redis at Trivago - (http://tech.trivago.com/2017/01/25/learn-redis-the-hard-way-in-production/)
  • Optimizing Redis Storage at Deliveroo - (https://deliveroo.engineering/2017/01/19/optimising-membership-queries.html)
  • Memory Optimization in Redis at Wattpad - (http://engineering.wattpad.com/post/23244724794/store-more-stuff-memory-optimization-in-redis)
  • Redis Fleet at Heroku - (https://blog.heroku.com/rolling-redis-fleet)
  • Solving Remote Build Cache Misses (2 parts) at SoundCloud - (https://developers.soundcloud.com/blog/gradle-remote-build-cache-misses-part-2)
  • Ratings & Reviews (2 parts) at Flipkart - (https://tech.flipkart.com/ratings-reviews-flipkart-part-2-574ab08e75cf)
  • Prefetch Caching of Items at eBay - (https://tech.ebayinc.com/engineering/prefetch-caching-of-ebay-items/)
    • HTTP Caching and CDN - (https://developer.mozilla.org/en-US/docs/Web/HTTP/Caching)
    • Zynga Geo Proxy - Reducing Mobile Game Latency at Zynga - (https://www.zynga.com/blogs/engineering/zynga-geo-proxy-reducing-mobile-game-latency)
    • Google AMP at Condé Nast - (https://technology.condenast.com/story/the-why-and-how-of-google-amp-at-conde-nast)
    • A/B Tests on Hosting Infrastructure (CDNs) at Deliveroo - (https://deliveroo.engineering/2016/09/19/ab-testing-cdns.html)
    • HAProxy with Kubernetes for User-facing Traffic at SoundCloud - (https://developers.soundcloud.com/blog/how-soundcloud-uses-haproxy-with-kubernetes-for-user-facing-traffic)
    • Bandaid - Service Proxy at Dropbox - (https://blogs.dropbox.com/tech/2018/03/meet-bandaid-the-dropbox-service-proxy/)
    • CDN in LIVE's Encoder Layer at LINE - (https://engineering.linecorp.com/en/blog/detail/230)
      • Service Workers at Slack - (https://slack.engineering/service-workers-at-slack-our-quest-for-faster-boot-times-and-offline-support-3492cf79c88)
      • CDN Services at Spotify - (https://labs.spotify.com/2020/02/24/how-spotify-aligned-cdn-services-for-a-lightning-fast-streaming-experience/)

• Distributed Locking - (https://martin.kleppmann.com/2016/02/08/how-to-do-distributed-locking.html)
  • Chubby - Lock Service for Loosely Coupled Distributed Systems at Google - (https://blog.acolyer.org/2015/02/13/the-chubby-lock-service-for-loosely-coupled-distributed-systems/)
  • Distributed Locking at Uber - (https://www.youtube.com/watch?v=MDuagr729aU)
  • Distributed Locks using Redis at GoSquared - (https://engineering.gosquared.com/distributed-locks-using-redis)
  • ZooKeeper at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2018/zookeeper-at-twitter.html)
  • Eliminating Duplicate Queries using Distributed Locking at Chartio - (https://blog.chartio.com/posts/eliminating-duplicate-queries-using-distributed-locking)

• Distributed Tracking, Tracing, and Measuring - (https://www.oreilly.com/ideas/understanding-the-value-of-distributed-tracing)
  • Zipkin - Distributed Systems Tracing at Twitter - (https://blog.twitter.com/engineering/en_us/a/2012/distributed-systems-tracing-with-zipkin.html)
  • Improve Zipkin Traces using Kubernetes Pod Metadata at SoundCloud - (https://developers.soundcloud.com/blog/using-kubernetes-pod-metadata-to-improve-zipkin-traces)
  • Canopy - Scalable Distributed Tracing & Analysis at Facebook - (https://www.infoq.com/presentations/canopy-scalable-tracing-analytics-facebook)
  • Pintrace - Distributed Tracing at Pinterest - (https://medium.com/@Pinterest_Engineering/distributed-tracing-at-pinterest-with-new-open-source-tools-a4f8a5562f6b)
  • XCMetrics - All-in-One Tool for Tracking Xcode Build Metrics at Spotify - (https://engineering.atspotify.com/2021/01/20/introducing-xcmetrics-our-all-in-one-tool-for-tracking-xcode-build-metrics/)
  • Real-time Distributed Tracing at LinkedIn - (https://engineering.linkedin.com/distributed-service-call-graph/real-time-distributed-tracing-website-performance-and-efficiency)
  • Tracking Service Infrastructure at Scale at Shopify - (https://www.usenix.org/conference/srecon17americas/program/presentation/arthorne)
  • Distributed Tracing at HelloFresh - (https://engineering.hellofresh.com/scaling-hellofresh-distributed-tracing-7b182928247d)
  • Analyzing Distributed Trace Data at Pinterest - (https://medium.com/@Pinterest_Engineering/analyzing-distributed-trace-data-6aae58919949)
  • Distributed Tracing at Uber - (https://eng.uber.com/distributed-tracing/)
  • JVM Profiler - Tracing Distributed JVM Applications at Uber - (https://eng.uber.com/jvm-profiler/)
  • Data Checking at Dropbox - (https://www.usenix.org/conference/srecon17asia/program/presentation/mah)
  • Tracing Distributed Systems at Showmax - (https://tech.showmax.com/2016/10/tracing-distributed-systems-at-showmax/)
  • osquery Across the Enterprise at Palantir - (https://medium.com/@palantir/osquery-across-the-enterprise-3c3c9d13ec55)
  • StatsD at Etsy - (https://codeascraft.com/2011/02/15/measure-anything-measure-everything/)
  • StatsD at DoorDash - (https://blog.doordash.com/scaling-statsd-84d456a7cc2a)

• Distributed Scheduling - (https://www.csee.umbc.edu/courses/graduate/CMSC621/fall02/lectures/ch11.pdf)
  • Distributed Task Scheduling (3 parts) at PagerDuty - (https://www.pagerduty.com/eng/distributed-task-scheduling-3/)
    • Building Cron at Google - (https://landing.google.com/sre/sre-book/chapters/distributed-periodic-scheduling/)
    • Distributed Cron Architecture at Quora - (https://engineering.quora.com/Quoras-Distributed-Cron-Architecture)
    • Chronos - A Replacement for Cron at Airbnb - (https://medium.com/airbnb-engineering/chronos-a-replacement-for-cron-f05d7d986a9d)
    • Scheduler at Nextdoor - (https://engblog.nextdoor.com/we-don-t-run-cron-jobs-at-nextdoor-6f7f9cc62040)
    • Peloton - Unified Resource Scheduler for Diverse Cluster Workloads at Uber - (https://eng.uber.com/peloton/)
    • Fenzo - OSS Scheduler for Apache Mesos Frameworks at Netflix - (https://medium.com/netflix-techblog/fenzo-oss-scheduler-for-apache-mesos-frameworks-5c340e77e543)
    • Airflow - Workflow Orchestration - (https://airflow.apache.org/)
      • Airflow at Airbnb - (https://medium.com/airbnb-engineering/airflow-a-workflow-management-platform-46318b977fd8)
      • Airflow at Pandora - (https://engineering.pandora.com/apache-airflow-at-pandora-1d7a844d68ee)
    • Airflow at Robinhood - (https://robinhood.engineering/why-robinhood-uses-airflow-aed13a9a90c8)
    • Airflow at Lyft - (https://eng.lyft.com/running-apache-airflow-at-lyft-6e53bb8fccff)
    • Airflow at Drivy - (https://drivy.engineering/airflow-architecture/)
      • Airflow at Grab - (https://engineering.grab.com/experimentation-platform-data-pipeline)
      • Airflow at Adobe - (https://medium.com/adobetech/adobe-experience-platform-orchestration-service-with-apache-airflow-952203723c0b)
    • Auditing Airflow Job Runs at Walmart - (https://medium.com/walmartlabs/auditing-airflow-batch-jobs-73b45100045)
    • MaaT - DAG-based Distributed Task Scheduler at Alibaba - (https://hackernoon.com/meet-maat-alibabas-dag-based-distributed-task-scheduler-7c9cf0c83438)
    • boundary-layer - Declarative Airflow Workflows at Etsy - (https://codeascraft.com/2018/11/14/boundary-layer%e2%80%89-declarative-airflow-workflows/)

• Distributed Monitoring and Alerting - (https://www.oreilly.com/ideas/monitoring-distributed-systems)
  • Unicorn - Remediation System at eBay - (https://www.ebayinc.com/stories/blogs/tech/unicorn-rheos-remediation-center/)
  • M3 - Metrics and Monitoring Platform at Uber - (https://eng.uber.com/optimizing-m3/)
  • Athena - Automated Build Health Management System at Dropbox - (https://blogs.dropbox.com/tech/2019/05/athena-our-automated-build-health-management-system/)
  • Vortex - Monitoring Server Applications at Dropbox - (https://blogs.dropbox.com/tech/2019/11/monitoring-server-applications-with-vortex/)
  • Nuage - Cloud Management Service at LinkedIn - (https://engineering.linkedin.com/blog/2019/solving-manageability-challenges-with-nuage)
  • Telltale - Application Monitoring at Netflix - (https://netflixtechblog.com/telltale-netflix-application-monitoring-simplified-5c08bfa780ba)
  • ThirdEye - Monitoring Platform at LinkedIn - (https://engineering.linkedin.com/blog/2019/06/smart-alerts-in-thirdeye--linkedins-real-time-monitoring-platfor)
  • Periskop - Exception Monitoring Service at SoundCloud - (https://developers.soundcloud.com/blog/periskop-exception-monitoring-service)
    • Securitybot - Distributed Alerting Bot at Dropbox - (https://blogs.dropbox.com/tech/2017/02/meet-securitybot-open-sourcing-automated-security-at-scale/)
    • Monitoring System at Alibaba - (https://www.usenix.org/conference/srecon18asia/presentation/xinchi)
    • Real User Monitoring at Dailymotion - (https://medium.com/dailymotion/real-user-monitoring-1948375f8be5)
    • Alerting Ecosystem at Uber - (https://eng.uber.com/observability-at-scale/)
  • Alerting Framework at Airbnb - (https://medium.com/airbnb-engineering/alerting-framework-at-airbnb-35ba48df894f)
  • Alerting on Service-Level Objectives (SLOs) at SoundCloud - (https://developers.soundcloud.com/blog/alerting-on-slos)
    • Job-based Forecasting Workflow for Observability Anomaly Detection at Uber - (https://eng.uber.com/observability-anomaly-detection/)
  • Monitoring and Alert System using Graphite and Cabot at HackerEarth - (http://engineering.hackerearth.com/2017/03/21/monitoring-and-alert-system-using-graphite-and-cabot/)
    • Observability (2 parts) at Twitter - (https://blog.twitter.com/engineering/en_us/a/2016/observability-at-twitter-technical-overview-part-ii.html)
    • Distributed Security Alerting at Slack - (https://slack.engineering/distributed-security-alerting-c89414c992d6)
    • Real-Time News Alerting at Bloomberg - (https://www.infoq.com/presentations/news-alerting-bloomberg)
  • Data Pipeline Monitoring System at LinkedIn - (https://engineering.linkedin.com/blog/2019/an-inside-look-at-linkedins-data-pipeline-monitoring-system-)
  • Monitoring and Observability at Picnic - (https://blog.picnic.nl/monitoring-and-observability-at-picnic-684cefd845c4)

• Distributed Security - (https://msdn.microsoft.com/en-us/library/cc767123.aspx)
  • Approach to Security at Scale at Dropbox - (https://blogs.dropbox.com/tech/2018/02/security-at-scale-the-dropbox-approach/)
  • Aardvark and Repokid - AWS Least Privilege for Distributed, High-Velocity Development at Netflix - (https://medium.com/netflix-techblog/introducing-aardvark-and-repokid-53b081bf3a7e)
  • LISA - Distributed Firewall at LinkedIn - (https://www.slideshare.net/MikeSvoboda/2017-lisa-linkedins-distributed-firewall-dfw)
  • Secure Infrastructure To Store Bitcoin In The Cloud at Coinbase - (https://engineering.coinbase.com/how-coinbase-builds-secure-infrastructure-to-store-bitcoin-in-the-cloud-30a6504e40ba)
  • BinaryAlert - Real-time Serverless Malware Detection at Airbnb - (https://medium.com/airbnb-engineering/binaryalert-real-time-serverless-malware-detection-ca44370c1b90)
  • Scalable IAM Architecture to Secure Access to 100 AWS Accounts at Segment - (https://segment.com/blog/secure-access-to-100-aws-accounts/)
  • OAuth Audit Toolbox at Indeed - (http://engineering.indeedblog.com/blog/2018/04/oaudit-toolbox/)
  • Active Directory Password Blacklisting at Yelp - (https://engineeringblog.yelp.com/2018/04/ad-password-blacklisting.html)
  • Syscall Auditing at Scale at Slack - (https://slack.engineering/syscall-auditing-at-scale-e6a3ca8ac1b8)
  • Athenz - Fine-Grained, Role-Based Access Control at Yahoo - (https://yahooeng.tumblr.com/post/160481899076/open-sourcing-athenz-fine-grained-role-based)
  • WebAuthn Support for Secure Sign In at Dropbox - (https://blogs.dropbox.com/tech/2018/05/introducing-webauthn-support-for-secure-dropbox-sign-in/)
  • Security Development Lifecycle at Slack - (https://slack.engineering/moving-fast-and-securing-things-540e6c5ae58a)
  • Unprivileged Container Builds at Kinvolk - (https://kinvolk.io/blog/2018/04/towards-unprivileged-container-builds/)
  • Diffy - Differencing Engine for Digital Forensics in the Cloud at Netflix - (https://medium.com/netflix-techblog/netflix-sirt-releases-diffy-a-differencing-engine-for-digital-forensics-in-the-cloud-37b71abd2698)
  • Detecting Credential Compromise in AWS at Netflix - (https://medium.com/netflix-techblog/netflix-cloud-security-detecting-credential-compromise-in-aws-9493d6fd373a)
  • Scalable User Privacy at Spotify - (https://labs.spotify.com/2018/09/18/scalable-user-privacy/)
  • AVA - Audit Web Applications at Indeed - (https://engineering.indeedblog.com/blog/2018/09/application-scanning/)
  • TTL as a Service - Automatic Revocation of Stale Privileges at Yelp - (https://engineeringblog.yelp.com/2018/11/ttl-as-a-service.html)
  • Enterprise Key Management at Slack - (https://slack.engineering/engineering-dive-into-slack-enterprise-key-management-1fce471b178c)
  • Scalability and Authentication at Twitch - (https://blog.twitch.tv/en/2019/03/15/how-twitch-addresses-scalability-and-authentication-718d6ed3c471/)
  • Edge Authentication and Token-Agnostic Identity Propagation at Netflix - (https://netflixtechblog.com/edge-authentication-and-token-agnostic-identity-propagation-514e47e0b602)
  • Hardening Kubernetes Infrastructure with Cilium at Palantir - (https://blog.palantir.com/hardening-palantirs-kubernetes-infrastructure-with-cilium-1c40d4c7ef0)
  • Improving Web Vulnerability Management through Automation at Lyft - (https://eng.lyft.com/improving-web-vulnerability-management-through-automation-2631570d8415)

• Distributed Messaging, Queuing, and Event Streaming - (https://arxiv.org/pdf/1704.00411.pdf)
  • Cape - Event Stream Processing Framework at Dropbox - (https://blogs.dropbox.com/tech/2017/05/introducing-cape/)
  • Brooklin - Distributed Service for Near Real-Time Data Streaming at LinkedIn - (https://engineering.linkedin.com/blog/2019/brooklin-open-source)
  • Samza - Stream Processing System for Latency Insighs at LinkedIn - (https://engineering.linkedin.com/blog/2018/04/samza-aeon--latency-insights-for-asynchronous-one-way-flows)
  • Bullet - Forward-Looking Query Engine for Streaming Data at Yahoo - (https://yahooeng.tumblr.com/post/161855616651/open-sourcing-bullet-yahoos-forward-looking)
  • EventHorizon - Tool for Watching Events Streaming at Etsy - (https://codeascraft.com/2018/05/29/the-eventhorizon-saga/)
  • Qmessage - Distributed, Asynchronous Task Queue at Quora - (https://engineering.quora.com/Qmessage-Handling-Billions-of-Tasks-Per-Day)
  • Cherami - Message Queue System for Transporting Async Tasks at Uber - (https://eng.uber.com/cherami/)
  • Dynein - Distributed Delayed Job Queueing System at Airbnb - (https://medium.com/airbnb-engineering/dynein-building-a-distributed-delayed-job-queueing-system-93ab10f05f99)
  • Messaging Service at Riot Games - (https://engineering.riotgames.com/news/riot-messaging-service)
  • Debugging Production with Event Logging at Zillow - (https://www.zillow.com/engineering/debugging-production-event-logging/)
  • Cross-platform In-app Messaging Orchestration Service at Netflix - (https://medium.com/netflix-techblog/building-a-cross-platform-in-app-messaging-orchestration-service-86ba614f92d8)
  • Video Gatekeeper at Netflix - (https://medium.com/netflix-techblog/re-architecting-the-video-gatekeeper-f7b0ac2f6b00)
  • Scaling Push Messaging for Millions of Devices at Netflix - (https://www.infoq.com/presentations/neflix-push-messaging-scale)
  • Delaying Asynchronous Message Processing with RabbitMQ at Indeed - (http://engineering.indeedblog.com/blog/2017/06/delaying-messages/)
  • Benchmarking Streaming Computation Engines at Yahoo - (https://yahooeng.tumblr.com/post/135321837876/benchmarking-streaming-computation-engines-at)
  • Improving Stream Data Quality With Protobuf Schema Validation at Deliveroo - (https://deliveroo.engineering/2019/02/05/improving-stream-data-quality-with-protobuf-schema-validation.html)
  • Scaling Email Infrastructure at Medium - (https://medium.engineering/scaling-email-infrastructure-for-medium-digest-254223c883b8)
  • Event Stream Database at Nike - (https://medium.com/nikeengineering/moving-faster-with-aws-by-creating-an-event-stream-database-dedec8ca3eeb)
    • Event-Driven Messaging - (https://martinfowler.com/articles/201701-event-driven.html)
    • Domain-Driven Design at Alibaba - (https://medium.com/swlh/creating-coding-excellence-with-domain-driven-design-88f73d2232c3)
    • Domain-Driven Design at Weebly - (https://medium.com/weebly-engineering/how-to-organize-your-monolith-before-breaking-it-into-services-69cbdb9248b0)
    • Domain-Driven Design at Moonpig - (https://engineering.moonpig.com/development/modelling-for-domain-driven-design)
    • Scaling Event Sourcing for Netflix Downloads - (https://www.infoq.com/presentations/netflix-scale-event-sourcing)
    • Scaling Event-Sourcing at Jet.com - (https://medium.com/@eulerfx/scaling-event-sourcing-at-jet-9c873cac33b8)
    • Event Sourcing (2 parts) at eBay - (https://www.ebayinc.com/stories/blogs/tech/event-sourcing-in-action-with-ebays-continuous-delivery-team/)
      • Event Sourcing at FREE NOW - (https://medium.com/inside-freenow/event-sourcing-an-evolutionary-perspective-31e7387aa6f1)
      • Scalable content feed using Event Sourcing and CQRS patterns at Brainly - (https://medium.com/engineering-brainly/scalable-content-feed-using-event-sourcing-and-cqrs-patterns-e09df98bf977)
    • Pub-Sub Messaging - (https://aws.amazon.com/pub-sub-messaging/)
      • Pulsar - Pub-Sub Messaging at Scale at Yahoo - (https://yahooeng.tumblr.com/post/150078336821/open-sourcing-pulsar-pub-sub-messaging-at-scale)
      • Wormhole - Pub-Sub System at Facebook - (https://code.facebook.com/posts/188966771280871/wormhole-pub-sub-system-moving-data-through-space-and-time/)
      • MemQ - Cloud Native Pub-Sub System at Pinterest - (https://medium.com/pinterest-engineering/memq-an-efficient-scalable-cloud-native-pubsub-system-4402695dd4e7)
      • Pub-Sub in Chatting Architecture at LINE - (https://engineering.linecorp.com/en/blog/detail/85)
      • Pub-Sub in Microservices at Netflix - (https://medium.com/netflix-techblog/how-netflix-microservices-tackle-dataset-pub-sub-4a068adcc9a)
  • Kafka - Message Broker - (https://martin.kleppmann.com/papers/kafka-debull15.pdf)
    • Kafka at LinkedIn - (https://engineering.linkedin.com/kafka/running-kafka-scale)
    • Kafka at Pinterest - (https://medium.com/pinterest-engineering/how-pinterest-runs-kafka-at-scale-ff9c6f735be)
    • Kafka at Trello - (https://tech.trello.com/why-we-chose-kafka/)
    • Kafka at Salesforce - (https://engineering.salesforce.com/how-apache-kafka-inspired-our-platform-events-architecture-2f351fe4cf63)
    • Kafka at The New York Times - (https://open.nytimes.com/publishing-with-apache-kafka-at-the-new-york-times-7f0e3b7d2077)
    • Kafka at Yelp - (https://engineeringblog.yelp.com/2016/07/billions-of-messages-a-day-yelps-real-time-data-pipeline.html)
    • Kafka at Criteo - (https://medium.com/criteo-labs/upgrading-kafka-on-a-large-infra-3ee99f56e970)
    • Kafka on Kubernetes at Shopify - (https://shopifyengineering.myshopify.com/blogs/engineering/running-apache-kafka-on-kubernetes-at-shopify)
    • Migrating Kafka's Zookeeper with No Downtime at Yelp - (https://engineeringblog.yelp.com/2019/01/migrating-kafkas-zookeeper-with-no-downtime.html)
    • Reprocessing and Dead Letter Queues with Kafka at Uber - (https://eng.uber.com/reliable-reprocessing/)
    • Chaperone - Audit Kafka End-to-End at Uber - (https://eng.uber.com/chaperone/)
    • Finding Kafka throughput limit in infrastructure at Dropbox - (https://blogs.dropbox.com/tech/2019/01/finding-kafkas-throughput-limit-in-dropbox-infrastructure/)
    • Cost Orchestration at Walmart - (https://medium.com/walmartlabs/cost-orchestration-at-walmart-f34918af67c4)
    • InfluxDB and Kafka to Scale to Over 1 Million Metrics a Second at Hulu - (https://medium.com/hulu-tech-blog/how-hulu-uses-influxdb-and-kafka-to-scale-to-over-1-million-metrics-a-second-1721476aaff5)
  • Stream Data Deduplication - (https://en.wikipedia.org/wiki/Data_deduplication)
    • Exactly-once Semantics with Kafka - (https://www.confluent.io/blog/exactly-once-semantics-are-possible-heres-how-apache-kafka-does-it/)
    • Real-time Deduping at Tapjoy - (http://eng.tapjoy.com/blog-list/real-time-deduping-at-scale)
    • Deduplication at Segment - (https://segment.com/blog/exactly-once-delivery/)
    • Deduplication at Mail.Ru - (https://medium.com/@andrewsumin/efficient-storage-how-we-went-down-from-50-pb-to-32-pb-99f9c61bf6b4)
    • Petabyte Scale Data Deduplication at Mixpanel - (https://medium.com/mixpaneleng/petabyte-scale-data-deduplication-mixpanel-engineering-e808c70c99f8)

• Distributed Logging - (https://blog.codinghorror.com/the-problem-with-logging/)
  • Logging at LinkedIn - (https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying)
  • Scalable and Reliable Log Ingestion at Pinterest - (https://medium.com/@Pinterest_Engineering/scalable-and-reliable-data-ingestion-at-pinterest-b921c2ee8754)
  • High-performance Replicated Log Service at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2015/building-distributedlog-twitter-s-high-performance-replicated-log-servic.html)
  • Logging Service with Spark at CERN Accelerator - (https://databricks.com/blog/2017/12/14/the-architecture-of-the-next-cern-accelerator-logging-service.html)
  • Logging and Aggregation at Quora - (https://engineering.quora.com/Logging-and-Aggregation-at-Quora)
  • Collection and Analysis of Daemon Logs at Badoo - (https://badoo.com/techblog/blog/2016/06/06/collection-and-analysis-of-daemon-logs-at-badoo/)
  • Log Parsing with Static Code Analysis at Palantir - (https://medium.com/palantir/using-static-code-analysis-to-improve-log-parsing-18f0d1843965)
  • Centralized Application Logging at eBay - (https://tech.ebayinc.com/engineering/low-latency-and-high-throughput-cal-ingress/)
  • Enrich VPC Flow Logs at Hyper Scale to provide Network Insight at Netflix - (https://netflixtechblog.com/hyper-scale-vpc-flow-logs-enrichment-to-provide-network-insight-e5f1db02910d)
  • BookKeeper - Distributed Log Storage at Yahoo - (https://yahooeng.tumblr.com/post/109908973316/bookkeeper-yahoos-distributed-log-storage-is)
  • LogDevice - Distributed Data Store for Logs at Facebook - (https://code.facebook.com/posts/357056558062811/logdevice-a-distributed-data-store-for-logs/)
  • LogFeeder - Log Collection System at Yelp - (https://engineeringblog.yelp.com/2018/03/introducing-logfeeder.html)
  • DBLog - Generic Change-Data-Capture Framework at Netflix - (https://medium.com/netflix-techblog/dblog-a-generic-change-data-capture-framework-69351fb9099b)

• Distributed Searching - (http://nwds.cs.washington.edu/files/nwds/pdf/Distributed-WR.pdf)
  • Search Architecture at Instagram - (https://instagram-engineering.com/search-architecture-eeb34a936d3a)
  • Search Architecture at eBay - (http://www.cs.otago.ac.nz/homepages/andrew/papers/2017-8.pdf)
  • Search Architecture at Box - (https://medium.com/box-tech-blog/scaling-box-search-using-lumos-22d9e0cb4175)
  • Search Discovery Indexing Platform at Coupang - (https://medium.com/coupang-tech/the-evolution-of-search-discovery-indexing-platform-fa43e41305f9)
  • Universal Search System at Pinterest - (https://medium.com/pinterest-engineering/building-a-universal-search-system-for-pinterest-e4cb03a898d4)
  • Improving Search Engine Efficiency by over 25% at eBay - (https://www.ebayinc.com/stories/blogs/tech/making-e-commerce-search-faster/)
  • Indexing and Querying Telemetry Logs with Lucene at Palantir - (https://medium.com/palantir/indexing-and-querying-telemetry-logs-with-lucene-234c5ce3e5f3)
  • Query Understanding at TripAdvisor - (https://www.tripadvisor.com/engineering/query-understanding-at-tripadvisor/)
  • Search Federation Architecture at LinkedIn (2018) - (https://engineering.linkedin.com/blog/2018/03/search-federation-architecture-at-linkedin)
  • Search at Slack - (https://slack.engineering/search-at-slack-431f8c80619e)
  • Search and Recommendations at DoorDash - (https://blog.doordash.com/powering-search-recommendations-at-doordash-8310c5cfd88c)
  • Search Service at Twitter (2014) - (https://blog.twitter.com/engineering/en_us/a/2014/building-a-complete-tweet-index.html)
  • Autocomplete Search (2 parts) at Traveloka - (https://medium.com/traveloka-engineering/high-quality-autocomplete-search-part-2-d5b15bb0dadf)
  • Data-Driven Autocorrection System at Canva - (https://product.canva.com/building-a-data-driven-autocorrection-system/)
  • Adapting Search to Indian Phonetics at Flipkart - (https://tech.flipkart.com/adapting-search-to-indian-phonetics-cdbe65259686)
  • Nautilus - Search Engine at Dropbox - (https://blogs.dropbox.com/tech/2018/09/architecture-of-nautilus-the-new-dropbox-search-engine/)
  • Galene - Search Architecture of LinkedIn - (https://engineering.linkedin.com/search/did-you-mean-galene)
  • Manas - High Performing Customized Search System at Pinterest - (https://medium.com/@Pinterest_Engineering/manas-a-high-performing-customized-search-system-cf189f6ca40f)
  • Sherlock - Near Real Time Search Indexing at Flipkart - (https://tech.flipkart.com/sherlock-near-real-time-search-indexing-95519783859d)
  • Nebula - Storage Platform to Build Search Backends at Airbnb - (https://medium.com/airbnb-engineering/nebula-as-a-storage-platform-to-build-airbnbs-search-backends-ecc577b05f06)
  • ELK (Elasticsearch, Logstash, Kibana) Stack - (https://logz.io/blog/15-tech-companies-chose-elk-stack/)
    • Predictions in Real Time with ELK at Uber - (https://eng.uber.com/elk/)
    • Building a scalable ELK stack at Envato - (https://webuild.envato.com/blog/building-a-scalable-elk-stack/)
    • ELK at Robinhood - (https://robinhood.engineering/taming-elk-4e1349f077c3)
    • Scaling Elasticsearch Clusters at Uber - (https://www.infoq.com/presentations/uber-elasticsearch-clusters?utm_source=presentations_about_Case_Study&utm_medium=link&utm_campaign=Case_Study)
    • Elasticsearch Performance Tuning Practice at eBay - (https://www.ebayinc.com/stories/blogs/tech/elasticsearch-performance-tuning-practice-at-ebay/)
    • Improve Performance using Elasticsearch Plugins (2 parts) at Tinder - (https://medium.com/tinder-engineering/how-we-improved-our-performance-using-elasticsearch-plugins-part-2-b051da2ee85b)
    • Elasticsearch at Kickstarter - (https://kickstarter.engineering/elasticsearch-at-kickstarter-db3c487887fc)
    • Elasticsearch at Target - (https://tech.target.com/2017/05/25/elasticsearch-cloud.html)
    • Log Parsing with Logstash and Google Protocol Buffers at Trivago - (https://tech.trivago.com/2016/01/19/logstash_protobuf_codec/)
    • Fast Order Search using Data Pipeline and Elasticsearch at Yelp - (https://engineeringblog.yelp.com/2018/06/fast-order-search.html)
    • Moving Core Business Search to Elasticsearch at Yelp - (https://engineeringblog.yelp.com/2017/06/moving-yelps-core-business-search-to-elasticsearch.html)
    • Sharding out Elasticsearch at Vinted - (http://engineering.vinted.com/2017/06/05/sharding-out-elasticsearch/)
    • Self-Ranking Search with Elasticsearch at Wattpad - (http://engineering.wattpad.com/post/146216619727/self-ranking-search-with-elasticsearch-at-wattpad)
    • Vulcanizer - a library for operating Elasticsearch at Github - (https://github.blog/2019-03-05-vulcanizer-a-library-for-operating-elasticsearch/)

• Distributed Storage - (http://highscalability.com/blog/2011/11/1/finding-the-right-data-solution-for-your-application-in-the.html)
  • In-memory Storage - (https://medium.com/@denisanikin/what-an-in-memory-database-is-and-how-it-persists-data-efficiently-f43868cff4c1)
    • MemSQL Architecture - The Fast (MVCC, InMem, LockFree, CodeGen) And Familiar (SQL) - (http://highscalability.com/blog/2012/8/14/memsql-architecture-the-fast-mvcc-inmem-lockfree-codegen-and.html)
    • Optimizing Memcached Efficiency at Quora - (https://engineering.quora.com/Optimizing-Memcached-Efficiency)
    • Real-Time Data Warehouse with MemSQL on Cisco UCS - (https://blogs.cisco.com/datacenter/memsql)
    • Moving to MemSQL at Tapjoy - (http://eng.tapjoy.com/blog-list/moving-to-memsql)
    • MemSQL and Kinesis for Real-time Insights at Disney - (https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/68131)
    • MemSQL to Query Hundreds of Billions of Rows in a Dashboard at Pandora - (https://engineering.pandora.com/using-memsql-at-pandora-79a86cb09b57)
  • Object Storage - (http://www.datacenterknowledge.com/archives/2013/10/04/object-storage-the-future-of-scale-out)
    • Scaling HDFS at Uber - (https://eng.uber.com/scaling-hdfs/)
    • Reasons for Choosing S3 over HDFS at Databricks - (https://databricks.com/blog/2017/05/31/top-5-reasons-for-choosing-s3-over-hdfs.html)
    • File System on Amazon S3 at Quantcast - (https://www.quantcast.com/blog/quantcast-file-system-on-amazon-s3/)
    • Image Recovery at Scale Using S3 Versioning at Trivago - (https://tech.trivago.com/2018/09/03/efficient-image-recovery-at-scale-using-amazon-s3-versioning/)
    • Cloud Object Store at Yahoo - (https://yahooeng.tumblr.com/post/116391291701/yahoo-cloud-object-store-object-storage-at)
    • Ambry - Distributed Immutable Object Store at LinkedIn - (https://www.usenix.org/conference/srecon17americas/program/presentation/shenoy)
    • Dynamometer - Scale Testing HDFS on Minimal Hardware with Maximum Fidelity at LinkedIn - (https://engineering.linkedin.com/blog/2018/02/dynamometer--scale-testing-hdfs-on-minimal-hardware-with-maximum)
    • Hammerspace - Persistent, Concurrent, Off-heap Storage at Airbnb - (https://medium.com/airbnb-engineering/hammerspace-persistent-concurrent-off-heap-storage-3db39bb04472)
    • MezzFS - Mounting Object Storage in Media Processing Platform at Netflix - (https://medium.com/netflix-techblog/mezzfs-mounting-object-storage-in-netflixs-media-processing-platform-cda01c446ba)
    • Magic Pocket - In-house Multi-exabyte Storage System at Dropbox - (https://blogs.dropbox.com/tech/2016/05/inside-the-magic-pocket/)

• Relational Databases - (https://www.mysql.com/products/cluster/scalability.html)
  • MySQL for Schema-less Data at FriendFeed - (https://backchannel.org/blog/friendfeed-schemaless-mysql)
  • MySQL at Pinterest - (https://medium.com/@Pinterest_Engineering/learn-to-stop-using-shiny-new-things-and-love-mysql-3e1613c2ce14)
  • PostgreSQL at Twitch - (https://blog.twitch.tv/how-twitch-uses-postgresql-c34aa9e56f58)
  • Scaling MySQL-based Financial Reporting System at Airbnb - (https://medium.com/airbnb-engineering/tracking-the-money-scaling-financial-reporting-at-airbnb-6d742b80f040)
  • Scaling MySQL at Wix - (https://www.wix.engineering/single-post/scaling-to-100m-mysql-is-a-better-nosql)
  • MaxScale (MySQL) Database Proxy at Airbnb - (https://medium.com/airbnb-engineering/unlocking-horizontal-scalability-in-our-web-serving-tier-d907449cdbcf)
  • Switching from Postgres to MySQL at Uber - (https://eng.uber.com/mysql-migration/)
  • Handling Growth with Postgres at Instagram - (https://engineering.instagram.com/handling-growth-with-postgres-5-tips-from-instagram-d5d7e7ffdfcb)
  • Scaling the Analytics Database (Postgres) at TransferWise - (http://tech.transferwise.com/scaling-our-analytics-database/)
  • Updating a 50 Terabyte PostgreSQL Database at Adyen - (https://medium.com/adyen/updating-a-50-terabyte-postgresql-database-f64384b799e7)
  • Scaling Database Access for 100s of Billions of Queries per Day at PayPal - (https://medium.com/paypal-engineering/scaling-database-access-for-100s-of-billions-of-queries-per-day-paypal-introducing-hera-e192adacda54)
  • Minimizing Read-Write MySQL Downtime at Yelp - (https://engineeringblog.yelp.com/2020/11/minimizing-read-write-mysql-downtime.html)
  • Migrating MySQL from 5.6 to 8.0 at Facebook - (https://engineering.fb.com/2021/07/22/data-infrastructure/mysql/)
  • Migration from HBase to MyRocks at Quora - (https://quoraengineering.quora.com/Migration-from-HBase-to-MyRocks-at-Quora)
  • Replication - (https://m.alphasights.com/a-primer-on-database-replication-381b319cd032)
    • MySQL Parallel Replication (4 parts) at Booking.com - (https://medium.com/booking-com-infrastructure/evaluating-mysql-parallel-replication-part-4-annex-under-the-hood-eb456cf8b2fb)
    • Mitigating MySQL Replication Lag and Reducing Read Load at Github - (https://githubengineering.com/mitigating-replication-lag-and-reducing-read-load-with-freno/)
    • Read Consistency with Database Replicas at Shopify - (https://shopify.engineering/read-consistency-database-replicas)
    • Black-Box Auditing - Verifying End-to-End Replication Integrity between MySQL and Redshift at Yelp - (https://engineeringblog.yelp.com/2018/04/black-box-auditing.html)
    • Partitioning Main MySQL Database at Airbnb - (https://medium.com/airbnb-engineering/how-we-partitioned-airbnb-s-main-database-in-two-weeks-55f7e006ff21)
    • Herb - Multi-DC Replication Engine for Schemaless Datastore at Uber - (https://eng.uber.com/herb-datacenter-replication/)
  • Sharding - (https://quabase.sei.cmu.edu/mediawiki/index.php/Shard_data_set_across_multiple_servers_(Range-based))
    • Sharding MySQL at Pinterest - (https://medium.com/@Pinterest_Engineering/sharding-pinterest-how-we-scaled-our-mysql-fleet-3f341e96ca6f)
    • Sharding MySQL at Twilio - (https://www.twilio.com/engineering/2014/06/26/how-we-replaced-our-data-pipeline-with-zero-downtime)
    • Sharding MySQL at Square - (https://medium.com/square-corner-blog/sharding-cash-10280fa3ef3b)
    • Sharding MySQL at Quora - (https://www.quora.com/q/quoraengineering/MySQL-sharding-at-Quora)
    • Sharding Layer of Schemaless Datastore at Uber - (https://eng.uber.com/schemaless-rewrite/)
    • Sharding & IDs at Instagram - (https://instagram-engineering.com/sharding-ids-at-instagram-1cf5a71e5a5c)
    • Sharding Postgres at Notion - (https://www.notion.so/blog/sharding-postgres-at-notion)
    • Solr - Improving Performance for Batch Indexing at Box - (https://blog.box.com/blog/solr-improving-performance-batch-indexing/)
    • Geosharded Recommendations (3 parts) at Tinder - (https://medium.com/tinder-engineering/geosharded-recommendations-part-3-consistency-2d2cb2f0594b)
    • Scaling Services with Shard Manager at Facebook - (https://engineering.fb.com/production-engineering/scaling-services-with-shard-manager/)
  • Presto the Distributed SQL Query Engine - (https://research.fb.com/wp-content/uploads/2019/03/Presto-SQL-on-Everything.pdf?)
    • Presto at Pinterest - (https://medium.com/@Pinterest_Engineering/presto-at-pinterest-a8bda7515e52)
    • Presto Infrastructure at Lyft - (https://eng.lyft.com/presto-infrastructure-at-lyft-b10adb9db01)
    • Presto at Grab - (https://engineering.grab.com/scaling-like-a-boss-with-presto)
    • Engineering Data Analytics with Presto and Apache Parquet at Uber - (https://eng.uber.com/presto/)
    • Data Wrangling at Slack - (https://slack.engineering/data-wrangling-at-slack-f2e0ff633b69)
    • Presto in Big Data Platform on AWS at Netflix - (https://medium.com/netflix-techblog/using-presto-in-our-big-data-platform-on-aws-938035909fd4)
    • Presto Auto Scaling at Eventbrite - (https://www.eventbrite.com/engineering/big-data-workloads-presto-auto-scaling/)

• NoSQL Databases - (https://www.thoughtworks.com/insights/blog/nosql-databases-overview)
  • Key-Value Databases - (http://www.cs.ucsb.edu/~agrawal/fall2009/dynamo.pdf)
    • DynamoDB at Nike - (https://medium.com/nikeengineering/becoming-a-nimble-giant-how-dynamo-db-serves-nike-at-scale-4cc375dbb18e)
    • DynamoDB at Segment - (https://segment.com/blog/the-million-dollar-eng-problem/)
    • DynamoDB at Mapbox - (https://blog.mapbox.com/scaling-mapbox-infrastructure-with-dynamodb-streams-d53eabc5e972)
    • Manhattan - Distributed Key-Value Database at Twitter - (https://blog.twitter.com/engineering/en_us/a/2014/manhattan-our-real-time-multi-tenant-distributed-database-for-twitter-scale.html)
    • Sherpa - Distributed NoSQL Key-Value Store at Yahoo - (https://yahooeng.tumblr.com/post/120730204806/sherpa-scales-new-heights)
    • HaloDB - Embedded Key-Value Storage Engine at Yahoo - (https://yahooeng.tumblr.com/post/178262468576/introducing-halodb-a-fast-embedded-key-value)
    • MPH - Fast and Compact Immutable Key-Value Stores at Indeed - (http://engineering.indeedblog.com/blog/2018/02/indeed-mph/)
    • Venice - Distributed Key-Value Database at Linkedin - (https://engineering.linkedin.com/blog/2017/02/building-venice-with-apache-helix)
  • Columnar Databases - (https://aws.amazon.com/nosql/columnar/)
    • Cassandra - (http://www.cs.cornell.edu/projects/ladis2009/papers/lakshman-ladis2009.pdf)
      • Cassandra at Instagram - (https://www.slideshare.net/DataStax/cassandra-at-instagram-2016)
      • Storing Images in Cassandra at Walmart - (https://medium.com/walmartlabs/building-object-store-storing-images-in-cassandra-walmart-scale-a6b9c02af593)
      • Storing Messages with Cassandra at Discord - (https://blog.discordapp.com/how-discord-stores-billions-of-messages-7fa6ec7ee4c7)
      • Scaling Cassandra Cluster at Walmart - (https://medium.com/walmartlabs/avoid-pitfalls-in-scaling-your-cassandra-cluster-lessons-and-remedies-a71ca01f8c04)
      • Scaling Ad Analytics with Cassandra at Yelp - (https://engineeringblog.yelp.com/2016/08/how-we-scaled-our-ad-analytics-with-cassandra.html)
      • Scaling to 100+ Million Reads/Writes using Spark and Cassandra at Dream11 - (https://medium.com/dream11-tech-blog/leaderboard-dream11-4efc6f93c23e)
      • Moving Food Feed from Redis to Cassandra at Zomato - (https://www.zomato.com/blog/how-we-moved-our-food-feed-from-redis-to-cassandra)
      • Benchmarking Cassandra Scalability on AWS at Netflix - (https://medium.com/netflix-techblog/benchmarking-cassandra-scalability-on-aws-over-a-million-writes-per-second-39f45f066c9e)
      • Service Decomposition at Scale with Cassandra at Intuit QuickBooks - (https://quickbooks-engineering.intuit.com/service-decomposition-at-scale-70405ac2f637)
      • Cassandra for Keeping Counts In Sync at SoundCloud - (https://developers.soundcloud.com/blog/keeping-counts-in-sync)
      • Cassandra Driver Configuration for Improved Performance and Load Balancing at Glassdoor - (https://medium.com/glassdoor-engineering/cassandra-driver-configuration-for-improved-performance-and-load-balancing-1b0106ce12bb)
      • cstar - Cassandra Orchestration Tool at Spotify - (https://labs.spotify.com/2018/09/04/introducing-cstar-the-spotify-cassandra-orchestration-tool-now-open-source/)
      • HBase - (https://hbase.apache.org/)
      • HBase at Salesforce - (https://engineering.salesforce.com/investing-in-big-data-apache-hbase-b9d98661a66b)
      • HBase in Facebook Messages - (https://www.facebook.com/notes/facebook-engineering/the-underlying-technology-of-messages/454991608919/)
      • HBase in Imgur Notification - (https://blog.imgur.com/2015/09/15/tech-tuesday-imgur-notifications-from-mysql-to-hbase/)
      • Improving HBase Backup Efficiency at Pinterest - (https://medium.com/@Pinterest_Engineering/improving-hbase-backup-efficiency-at-pinterest-86159da4b954)
      • HBase at Xiaomi - (https://www.slideshare.net/HBaseCon/hbase-practice-at-xiaomi)
      • Redshift - (https://www.allthingsdistributed.com/2018/11/amazon-redshift-performance-optimization.html)
      • Redshift at GIPHY - (https://engineering.giphy.com/scaling-redshift-without-scaling-costs/)
      • Redshift at Hudl - (https://www.hudl.com/bits/the-low-hanging-fruit-of-redshift-performance)
      • Redshift at Drivy - (https://drivy.engineering/redshift_tips_ticks_part_1/)
  • Document Databases - (https://msdn.microsoft.com/en-us/magazine/hh547103.aspx)
    • eBay - Building Mission-Critical Multi-Data Center Applications with MongoDB - (https://www.mongodb.com/blog/post/ebay-building-mission-critical-multi-data-center-applications-with-mongodb)
    • MongoDB at Baidu - Multi-Tenant Cluster Storing 200+ Billion Documents across 160 Shards - (https://www.mongodb.com/blog/post/mongodb-at-baidu-powering-100-apps-across-600-nodes-at-pb-scale)
    • Migrating Mongo Data at Addepar - (https://medium.com/build-addepar/migrating-mountains-of-mongo-data-63e530539952)
    • The AWS and MongoDB Infrastructure of Parse (acquired by Facebook) - (https://medium.baqend.com/parse-is-gone-a-few-secrets-about-their-infrastructure-91b3ab2fcf71)
    • Migrating Mountains of Mongo Data at Addepar - (https://medium.com/build-addepar/migrating-mountains-of-mongo-data-63e530539952)
    • Couchbase Ecosystem at LinkedIn - (https://engineering.linkedin.com/blog/2017/12/couchbase-ecosystem-at-linkedin)
    • SimpleDB at Zendesk - (https://medium.com/zendesk-engineering/resurrecting-amazon-simpledb-9404034ec506)
    • Espresso - Distributed Document Store at LinkedIn - (https://engineering.linkedin.com/espresso/introducing-espresso-linkedins-hot-new-distributed-document-store)
  • Graph Databases - (https://www.eecs.harvard.edu/margo/papers/systor13-bench/)
    • FlockDB - Distributed Graph Database at Twitter - (https://blog.twitter.com/engineering/en_us/a/2010/introducing-flockdb.html)
    • TAO - Distributed Data Store for the Social Graph at Facebook - (https://www.cs.cmu.edu/~pavlo/courses/fall2013/static/papers/11730-atc13-bronson.pdf)
    • Akutan - Distributed Knowledge Graph Store at eBay - (https://tech.ebayinc.com/engineering/akutan-a-distributed-knowledge-graph-store/)

• Time Series Databases - (https://www.influxdata.com/time-series-database/)
  • Beringei - High-performance Time Series Storage Engine at Facebook - (https://code.facebook.com/posts/952820474848503/beringei-a-high-performance-time-series-storage-engine/)
  • MetricsDB - TimeSeries Database for storing metrics at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/metricsdb.html)
  • Atlas - In-memory Dimensional Time Series Database at Netflix - (https://medium.com/netflix-techblog/introducing-atlas-netflixs-primary-telemetry-platform-bd31f4d8ed9a)
  • Heroic - Time Series Database at Spotify - (https://labs.spotify.com/2015/11/17/monitoring-at-spotify-introducing-heroic/)
  • Roshi - Distributed Storage System for Time-Series Event at SoundCloud - (https://developers.soundcloud.com/blog/roshi-a-crdt-system-for-timestamped-events)
  • Goku - Time Series Database at Pinterest - (https://medium.com/@Pinterest_Engineering/goku-building-a-scalable-and-high-performant-time-series-database-system-a8ff5758a181)
  • Scaling Time Series Data Storage (2 parts) at Netflix - (https://medium.com/netflix-techblog/scaling-time-series-data-storage-part-ii-d67939655586)
  • Druid - Real-time Analytics Database - (https://druid.apache.org/)
    • Druid at Airbnb - (https://medium.com/airbnb-engineering/druid-airbnb-data-platform-601c312f2a4c)
    • Druid at Walmart - (https://medium.com/walmartlabs/event-stream-analytics-at-walmart-with-druid-dcf1a37ceda7)
    • Druid at eBay - (https://tech.ebayinc.com/engineering/monitoring-at-ebay-with-druid/)
    • Druid at Netflix - (https://netflixtechblog.com/how-netflix-uses-druid-for-real-time-insights-to-ensure-a-high-quality-experience-19e1e8568d06)

• Distributed Repositories, Dependencies, and Configurations Management - (https://betterexplained.com/articles/intro-to-distributed-version-control-illustrated/)
  • DGit - Distributed Git at Github - (https://githubengineering.com/introducing-dgit/)
  • Stemma - Distributed Git Server at Palantir - (https://medium.com/@palantir/stemma-distributed-git-server-70afbca0fc29)
  • Configuration Management for Distributed Systems at Flickr - (https://code.flickr.net/2016/03/24/configuration-management-for-distributed-systems-using-github-and-cfg4j/)
  • Git Repository at Microsoft - (https://blogs.msdn.microsoft.com/bharry/2017/05/24/the-largest-git-repo-on-the-planet/)
  • Solve Git Problem with Large Repositories at Microsoft - (https://www.infoq.com/news/2017/02/GVFS)
  • Single Repository at Google - (https://cacm.acm.org/magazines/2016/7/204032-why-google-stores-billions-of-lines-of-code-in-a-single-repository/fulltext)
  • Scaling Infrastructure and (Git) Workflow at Adyen - (https://medium.com/adyen/from-0-100-billion-scaling-infrastructure-and-workflow-at-adyen-7b63b690dfb6)
  • Dotfiles Distribution at Booking.com - (https://medium.com/booking-com-infrastructure/dotfiles-distribution-dedb69c66a75)
  • Secret Detector - Preventing Secrets in Source Code at Yelp - (https://engineeringblog.yelp.com/2018/06/yelps-secret-detector.html)
  • Managing Software Dependency at Scale at LinkedIn - (https://engineering.linkedin.com/blog/2018/09/managing-software-dependency-at-scale)
  • Merging Code in High-velocity Repositories at LinkedIn - (https://engineering.linkedin.com/blog/2020/continuous-integration)
  • Dynamic Configuration at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2018/dynamic-configuration-at-twitter.html)
  • Dynamic Configuration at Mixpanel - (https://medium.com/mixpaneleng/dynamic-configuration-at-mixpanel-94bfcf97d6b8)
  • Dynamic Configuration at GoDaddy - (https://sg.godaddy.com/engineering/2019/03/06/dynamic-configuration-for-nodejs/)

• Scaling Continuous Integration and Continuous Delivery - (https://www.synopsys.com/blogs/software-security/agile-cicd-devops-glossary/)
  • Continuous Integration Stack at Facebook - (https://code.fb.com/web/rapid-release-at-massive-scale/)
  • Continuous Integration with Distributed Repositories and Dependencies at Netflix - (https://medium.com/netflix-techblog/towards-true-continuous-integration-distributed-repositories-and-dependencies-2a2e3108c051)
  • Continuous Integration and Deployment with Bazel at Dropbox - (https://blogs.dropbox.com/tech/2019/12/continuous-integration-and-deployment-with-bazel/)
  • Continuous Deployments at BuzzFeed - (https://tech.buzzfeed.com/continuous-deployments-at-buzzfeed-d171f76c1ac4)
  • Screwdriver - Continuous Delivery Build System for Dynamic Infrastructure at Yahoo - (https://yahooeng.tumblr.com/post/155765242061/open-sourcing-screwdriver-yahoos-continuous)
  • CI/CD at Betterment - (https://www.betterment.com/resources/ci-cd-shortening-the-feedback-loop/)
  • CI/CD at Brainly - (https://medium.com/engineering-brainly/ci-cd-at-scale-fdfb0f49e031)
  • Scaling iOS CI with Anka at Shopify - (https://engineering.shopify.com/blogs/engineering/scaling-ios-ci-with-anka)
  • Scaling Jira Server at Yelp - (https://engineeringblog.yelp.com/2019/04/Scaling-Jira-Server-Administration-For-The-Enterprise.html)
  • Auto-scaling CI/CD cluster at Flexport - (https://flexport.engineering/how-flexport-halved-testing-costs-with-an-auto-scaling-ci-cd-cluster-8304297222f)

== Availability

• Resilience Engineering - Learning to Embrace Failure - (https://queue.acm.org/detail.cfm?id=2371297)
  • Resilience Engineering with Project Waterbear at LinkedIn - (https://engineering.linkedin.com/blog/2017/11/resilience-engineering-at-linkedin-with-project-waterbear)
  • Resiliency against Traffic Oversaturation at iHeartRadio - (https://tech.iheart.com/resiliency-against-traffic-oversaturation-77c5ed92a5fb)
  • Resiliency in Distributed Systems at GO-JEK - (https://blog.gojekengineering.com/resiliency-in-distributed-systems-efd30f74baf4)
  • Practical NoSQL Resilience Design Pattern for the Enterprise at eBay - (https://www.ebayinc.com/stories/blogs/tech/practical-nosql-resilience-design-pattern-for-the-enterprise/)
  • Ensuring Resilience to Disaster at Quora - (https://engineering.quora.com/Ensuring-Quoras-Resilience-to-Disaster)
  • Site Resiliency at Expedia - (https://www.infoq.com/presentations/expedia-website-resiliency?utm_source=presentations_about_Case_Study&utm_medium=link&utm_campaign=Case_Study)
  • Resiliency and Disaster Recovery with Kafka at eBay - (https://tech.ebayinc.com/engineering/resiliency-and-disaster-recovery-with-kafka/)
  • Disaster Recovery for Multi-Region Kafka at Uber - (https://eng.uber.com/kafka/)

• Failover - (http://cloudpatterns.org/mechanisms/failover_system)
  • The Evolution of Global Traffic Routing and Failover - (https://www.usenix.org/conference/srecon16/program/presentation/heady)
  • Testing for Disaster Recovery Failover Testing - (https://www.usenix.org/conference/srecon17asia/program/presentation/liu_zehua)
  • Designing a Microservices Architecture for Failure - (https://blog.risingstack.com/designing-microservices-architecture-for-failure/)
  • ELB for Automatic Failover at GoSquared - (https://engineering.gosquared.com/use-elb-automatic-failover)
  • Eliminate the Database for Higher Availability at American Express - (http://americanexpress.io/eliminate-the-database-for-higher-availability/)
  • Failover with Redis Sentinel at Vinted - (http://engineering.vinted.com/2015/09/03/failover-with-redis-sentinel/)
  • High-availability SaaS Infrastructure at FreeAgent - (http://engineering.freeagent.com/2017/02/06/ha-infrastructure-without-breaking-the-bank/)
  • MySQL High Availability at GitHub - (https://github.blog/2018-06-20-mysql-high-availability-at-github/)
  • MySQL High Availability at Eventbrite - (https://www.eventbrite.com/engineering/mysql-high-availability-at-eventbrite/)
  • Business Continuity & Disaster Recovery at Walmart - (https://medium.com/walmartlabs/business-continuity-disaster-recovery-in-the-microservices-world-ef2adca363df)

• Load Balancing - (https://blog.vivekpanyam.com/scaling-a-web-service-load-balancing/)
  • Introduction to Modern Network Load Balancing and Proxying - (https://blog.envoyproxy.io/introduction-to-modern-network-load-balancing-and-proxying-a57f6ff80236)
  • Top Five (Load Balancing) Scalability Patterns - (https://www.f5.com/company/blog/top-five-scalability-patterns)
  • Load Balancing infrastructure to support more than 1.3 billion users at Facebook - (https://www.usenix.org/conference/srecon15europe/program/presentation/shuff)
  • DHCPLB - DHCP Load Balancer at Facebook - (https://code.facebook.com/posts/1734309626831603/dhcplb-an-open-source-load-balancer/)
  • Katran - Scalable Network Load Balancer at Facebook - (https://code.facebook.com/posts/1906146702752923/open-sourcing-katran-a-scalable-network-load-balancer/)
  • Deterministic Aperture - A Distributed, Load Balancing Algorithm at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/daperture-load-balancer.html)
  • Load Balancing with Eureka at Netflix - (https://medium.com/netflix-techblog/netflix-shares-cloud-load-balancing-and-failover-tool-eureka-c10647ef95e5)
  • Edge Load Balancing at Netflix - (https://medium.com/netflix-techblog/netflix-edge-load-balancing-695308b5548c)
  • Zuul 2 - Cloud Gateway at Netflix - (https://medium.com/netflix-techblog/open-sourcing-zuul-2-82ea476cb2b3)
  • Load Balancing at Yelp - (https://engineeringblog.yelp.com/2017/05/taking-zero-downtime-load-balancing-even-further.html)
  • Load Balancing at Github - (https://githubengineering.com/introducing-glb/)
  • Consistent Hashing to Improve Load Balancing at Vimeo - (https://medium.com/vimeo-engineering-blog/improving-load-balancing-with-a-new-consistent-hashing-algorithm-9f1bd75709ed)
  • UDP Load Balancing at 500 pixel - (https://developers.500px.com/udp-load-balancing-with-keepalived-167382d7ad08)
  • QALM - QoS Load Management Framework at Uber - (https://eng.uber.com/qalm/)
  • Traffic Steering using Rum DNS at LinkedIn - (https://www.usenix.org/conference/srecon17europe/program/presentation/rastogi)
  • Traffic Infrastructure (Edge Network) at Dropbox - (https://blogs.dropbox.com/tech/2018/10/dropbox-traffic-infrastructure-edge-network/)
  • Intelligent DNS based load balancing at Dropbox - (https://blogs.dropbox.com/tech/2020/01/intelligent-dns-based-load-balancing-at-dropbox/)
  • Monitor DNS systems at Stripe - (https://stripe.com/en-sg/blog/secret-life-of-dns)
  • Multi-DNS Architecture (3 parts) at Monday - (https://medium.com/monday-engineering/how-and-why-we-migrated-our-dns-from-cloudflare-to-a-multi-dns-architecture-part-3-584a470f4062)
  • Dynamic Anycast DNS Infrastructure at Hulu - (https://medium.com/hulu-tech-blog/building-hulus-dynamic-anycast-dns-infrastructure-985a7a11fd30)

• Rate Limiting - (https://www.keycdn.com/support/rate-limiting/)
  • Rate Limiting for Scaling to Millions of Domains at Cloudflare - (https://blog.cloudflare.com/counting-things-a-lot-of-different-things/)
  • Cloud Bouncer - Distributed Rate Limiting at Yahoo - (https://yahooeng.tumblr.com/post/111288877956/cloud-bouncer-distributed-rate-limiting-at-yahoo)
  • Scaling API with Rate Limiters at Stripe - (https://stripe.com/blog/rate-limiters)
  • Distributed Rate Limiting at Allegro - (https://allegro.tech/2017/04/hermes-max-rate.html)
  • Ratequeue - Core Queueing-And-Rate-Limiting System at Twilio - (https://www.twilio.com/blog/2017/11/chaos-engineering-ratequeue-ha.html)
  • Quotas Service at Grab - (https://engineering.grab.com/quotas-service)

• Autoscaling - (https://medium.com/@BotmetricHQ/top-11-hard-won-lessons-learned-about-aws-auto-scaling-5bfe56da755f)
  • Autoscaling Pinterest - (https://medium.com/@Pinterest_Engineering/auto-scaling-pinterest-df1d2beb4d64)
  • Autoscaling Based on Request Queuing at Square - (https://medium.com/square-corner-blog/autoscaling-based-on-request-queuing-c4c0f57f860f)
  • Autoscaling Jenkins at Trivago - (http://tech.trivago.com/2017/02/17/your-definite-guide-for-autoscaling-jenkins/)
  • Autoscaling Pub-Sub Consumers at Spotify - (https://labs.spotify.com/2017/11/20/autoscaling-pub-sub-consumers/)
  • Autoscaling Bigtable Clusters based on CPU Load at Spotify - (https://labs.spotify.com/2018/12/18/bigtable-autoscaler-saving-money-and-time-using-managed-storage/)
  • Autoscaling AWS Step Functions Activities at Yelp - (https://engineeringblog.yelp.com/2019/06/autoscaling-aws-step-functions-activities.html)
  • Scryer - Predictive Auto Scaling Engine at Netflix - (https://medium.com/netflix-techblog/scryer-netflixs-predictive-auto-scaling-engine-a3f8fc922270)
  • Bouncer - Simple AWS Auto Scaling Rollovers at Palantir - (https://medium.com/palantir/bouncer-simple-aws-auto-scaling-rollovers-c5af601d65d4)
  • Clusterman - Autoscaling Mesos Clusters at Yelp - (https://engineeringblog.yelp.com/2019/02/autoscaling-mesos-clusters-with-clusterman.html)

• Availability in Globally Distributed Storage Systems at Google - (http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/36737.pdf)
• NodeJS High Availability at Yahoo - (https://yahooeng.tumblr.com/post/68823943185/nodejs-high-availability)
• Operations (11 parts) at LinkedIn - (https://www.linkedin.com/pulse/introduction-every-day-monday-operations-benjamin-purgason)
• Monitoring Powers High Availability for LinkedIn Feed - (https://www.usenix.org/conference/srecon17americas/program/presentation/barot)
• Supporting Global Events at Facebook - (https://code.facebook.com/posts/166966743929963/how-production-engineers-support-global-events-on-facebook/)
• High Availability at BlaBlaCar - (https://medium.com/blablacar-tech/the-expendables-backends-high-availability-at-blablacar-8cea3b95b26b)
• High Availability at Netflix - (https://medium.com/@NetflixTechBlog/tips-for-high-availability-be0472f2599c)
• High Availability Cloud Infrastructure at Twilio - (https://www.twilio.com/engineering/2011/12/12/scaling-high-availablity-infrastructure-in-cloud)
• Automating Datacenter Operations at Dropbox - (https://blogs.dropbox.com/tech/2019/01/automating-datacenter-operations-at-dropbox/)
• Globalizing Player Accounts at Riot Games - (https://technology.riotgames.com/news/globalizing-player-accounts)

== Stability

• Circuit Breaker - (https://martinfowler.com/bliki/CircuitBreaker.html)
  • Circuit Breaking in Distributed Systems - (https://www.infoq.com/presentations/circuit-breaking-distributed-systems)
  • Circuit Breaker for Scaling Containers - (https://f5.com/about-us/blog/articles/the-art-of-scaling-containers-circuit-breakers-28919)
  • Circuit Breakers for Distributed Services at LINE - (https://engineering.linecorp.com/en/blog/detail/76)
  • Applying Circuit Breaker to Channel Gateway at LINE - (https://engineering.linecorp.com/en/blog/detail/78)
  • Lessons in Resilience at SoundCloud - (https://developers.soundcloud.com/blog/lessons-in-resilience-at-SoundCloud)
  • Protector - Circuit Breaker for Time Series Databases at Trivago - (http://tech.trivago.com/2016/02/23/protector/)
  • Improved Production Stability with Circuit Breakers at Heroku - (https://blog.heroku.com/improved-production-stability-with-circuit-breakers)
  • Circuit Breaker at Zendesk - (https://medium.com/zendesk-engineering/the-joys-of-circuit-breaking-ee6584acd687)
  • Circuit Breaker at Traveloka - (https://medium.com/traveloka-engineering/circuit-breakers-dont-let-your-dependencies-bring-you-down-5ba1c5cf1eec)
  • Circuit Breaker at Shopify - (https://shopify.engineering/circuit-breaker-misconfigured)

• Timeouts - (https://www.javaworld.com/article/2824163/application-performance/stability-patterns-applied-in-a-restful-architecture.html)
  • Fault Tolerance (Timeouts and Retries, Thread Separation, Semaphores, Circuit Breakers) at Neflix - (https://medium.com/netflix-techblog/fault-tolerance-in-a-high-volume-distributed-system-91ab4faae74a)
  • Enforce Timeout - A Reliability Methodology at DoorDash - (https://doordash.engineering/2018/12/21/enforce-timeout-a-doordash-reliability-methodology/)
  • Troubleshooting a Connection Timeout Issue with tcp_tw_recycle Enabled at eBay - (https://www.ebayinc.com/stories/blogs/tech/a-vip-connection-timeout-issue-caused-by-snat-and-tcp-tw-recycle/)

• Crash-safe Replication for MySQL at Booking.com - (https://medium.com/booking-com-infrastructure/better-crash-safe-replication-for-mysql-a336a69b317f)
• Bulkheads - Partition and Tolerate Failure in One Part - (https://skife.org/architecture/fault-tolerance/2009/12/31/bulkheads.html)
• Steady State - Always Put Logs on Separate Disk - (https://docs.microsoft.com/en-us/sql/relational-databases/policy-based-management/place-data-and-log-files-on-separate-drives)
• Throttling - Maintain a Steady Pace - (http://www.sosp.org/2001/papers/welsh.pdf)
• Multi-Clustering - Improving Resiliency and Stability of a Large-scale Monolithic API Service at LinkedIn - (https://engineering.linkedin.com/blog/2017/11/improving-resiliency-and-stability-of-a-large-scale-api)
• Determinism (4 parts) in League of Legends Server - (https://engineering.riotgames.com/news/determinism-league-legends-fixing-divergences)

== Performance

• Performance Optimization on OS, Storage, Database, Network - (https://stackify.com/application-performance-metrics/)
  • Improving Performance with Background Data Prefetching at Instagram - (https://engineering.instagram.com/improving-performance-with-background-data-prefetching-b191acb39898)
  • Fixing Linux filesystem performance regressions at LinkedIn - (https://engineering.linkedin.com/blog/2020/fixing-linux-filesystem-performance-regressions)
  • Compression Techniques to Solve Network I/O Bottlenecks at eBay - (https://www.ebayinc.com/stories/blogs/tech/how-ebays-shopping-cart-used-compression-techniques-to-solve-network-io-bottlenecks/)
  • Optimizing Web Servers for High Throughput and Low Latency at Dropbox - (https://blogs.dropbox.com/tech/2017/09/optimizing-web-servers-for-high-throughput-and-low-latency/)
  • Linux Performance Analysis in 60.000 Milliseconds at Netflix - (https://medium.com/netflix-techblog/linux-performance-analysis-in-60-000-milliseconds-accc10403c55)
  • Live Downsizing Google Cloud Persistent Disks (PD-SSD) at Mixpanel - (https://engineering.mixpanel.com/2018/07/31/live-downsizing-google-cloud-pds-for-fun-and-profit/)
  • Decreasing RAM Usage by 40% Using jemalloc with Python & Celery at Zapier - (https://zapier.com/engineering/celery-python-jemalloc/)
  • Reducing Memory Footprint at Slack - (https://slack.engineering/reducing-slacks-memory-footprint-4480fec7e8eb)
  • Performance Improvements at Pinterest - (https://medium.com/@Pinterest_Engineering/driving-user-growth-with-performance-improvements-cfc50dafadd7)
  • Server Side Rendering at Wix - (https://www.youtube.com/watch?v=f9xI2jR71Ms)
  • 30x Performance Improvements on MySQLStreamer at Yelp - (https://engineeringblog.yelp.com/2018/02/making-30x-performance-improvements-on-yelps-mysqlstreamer.html)
  • Optimizing APIs at Netflix - (https://medium.com/netflix-techblog/optimizing-the-netflix-api-5c9ac715cf19)
  • Performance Monitoring with Riemann and Clojure at Walmart - (https://medium.com/walmartlabs/performance-monitoring-with-riemann-and-clojure-eafc07fcd375)
  • Performance Tracking Dashboard for Live Games at Zynga - (https://www.zynga.com/blogs/engineering/live-games-have-evolving-performance)
  • Optimizing CAL Report Hadoop MapReduce Jobs at eBay - (https://www.ebayinc.com/stories/blogs/tech/optimization-of-cal-report-hadoop-mapreduce-job/)
  • Performance Tuning on Quartz Scheduler at eBay - (https://www.ebayinc.com/stories/blogs/tech/performance-tuning-on-quartz-scheduler/)
  • Profiling C++ (Part 1 - Optimization, Part 2 - Measurement and Analysis) at Riot Games - (https://engineering.riotgames.com/news/profiling-optimisation)
  • Profiling React Server-Side Rendering at HomeAway - (https://medium.com/homeaway-tech-blog/profiling-react-server-side-rendering-to-free-the-node-js-event-loop-7f0fe455a901)
  • Hardware-Assisted Video Transcoding at Dailymotion - (https://medium.com/dailymotion-engineering/hardware-assisted-video-transcoding-at-dailymotion-66cd2db448ae)
  • Cross Shard Transactions at 10 Million RPS at Dropbox - (https://blogs.dropbox.com/tech/2018/11/cross-shard-transactions-at-10-million-requests-per-second/)
  • API Profiling at Pinterest - (https://medium.com/@Pinterest_Engineering/api-profiling-at-pinterest-6fa9333b4961)
  • Pagelets Parallelize Server-side Processing at Yelp - (https://engineeringblog.yelp.com/2017/07/generating-web-pages-in-parallel-with-pagelets.html)
  • Improving key expiration in Redis at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/improving-key-expiration-in-redis.html)
  • Ad Delivery Network Performance Optimization with Flame Graphs at MindGeek - (https://medium.com/mindgeek-engineering-blog/ad-delivery-network-performance-optimization-with-flame-graphs-bc550cf59cf7)
  • Predictive CPU isolation of containers at Netflix - (https://medium.com/netflix-techblog/predictive-cpu-isolation-of-containers-at-netflix-91f014d856c7)
  • Improving HDFS I/O Utilization for Efficiency at Uber - (https://eng.uber.com/improving-hdfs-i-o-utilization-for-efficiency/)
  • Cloud Jewels - Estimating kWh in the Cloud at Etsy - (https://codeascraft.com/2020/04/23/cloud-jewels-estimating-kwh-in-the-cloud/)
  • Unthrottled - Fixing CPU Limits in the Cloud (2 parts) at Indeed - (https://engineering.indeedblog.com/blog/2019/12/unthrottled-fixing-cpu-limits-in-the-cloud/)

• Performance Optimization by Tuning Garbage Collection - (https://confluence.atlassian.com/enterprise/garbage-collection-gc-tuning-guide-461504616.html)
  • Garbage Collection in Java Applications at LinkedIn - (https://engineering.linkedin.com/garbage-collection/garbage-collection-optimization-high-throughput-and-low-latency-java-applications)
  • Garbage Collection in High-Throughput, Low-Latency Machine Learning Services at Adobe - (https://medium.com/adobetech/engineering-high-throughput-low-latency-machine-learning-services-7d45edac0271)
  • Garbage Collection in Redux Applications at SoundCloud - (https://developers.soundcloud.com/blog/garbage-collection-in-redux-applications)
  • Garbage Collection in Go Application at Twitch - (https://blog.twitch.tv/go-memory-ballast-how-i-learnt-to-stop-worrying-and-love-the-heap-26c2462549a2)
  • Analyzing V8 Garbage Collection Logs at Alibaba - (https://www.linux.com/blog/can-nodejs-scale-ask-team-alibaba)
  • Python Garbage Collection for Dropping 50% Memory Growth Per Request at Instagram - (https://instagram-engineering.com/copy-on-write-friendly-python-garbage-collection-ad6ed5233ddf)
  • Performance Impact of Removing Out of Band Garbage Collector (OOBGC) at Github - (https://githubengineering.com/removing-oobgc/)
  • Debugging Java Memory Leaks at Allegro - (https://allegro.tech/2018/05/a-comedy-of-errors-debugging-java-memory-leaks.html)
  • Optimizing JVM at Alibaba - (https://www.youtube.com/watch?v=X4tmr3nhZRg)
  • Tuning JVM Memory for Large-scale Services at Uber - (https://eng.uber.com/jvm-tuning-garbage-collection/)
  • Solr Performance Tuning at Walmart - (https://medium.com/walmartglobaltech/solr-performance-tuning-beb7d0d0f8d9)
  • Memory Tuning a High Throughput Microservice at Flipkart - (https://tech.flipkart.com/memory-tuning-a-high-throughput-microservice-ed57b3e60997)

• Performance Optimization on Image, Video, Page Load - (https://developers.google.com/web/fundamentals/performance/why-performance-matters/)
  • Optimizing 360 Photos at Scale at Facebook - (https://code.facebook.com/posts/129055711052260/optimizing-360-photos-at-scale/)
  • Reducing Image File Size in the Photos Infrastructure at Etsy - (https://codeascraft.com/2017/05/30/reducing-image-file-size-at-etsy/)
  • Improving GIF Performance at Pinterest - (https://medium.com/@Pinterest_Engineering/improving-gif-performance-on-pinterest-8dad74bf92f1)
  • Optimizing Video Playback Performance at Pinterest - (https://medium.com/@Pinterest_Engineering/optimizing-video-playback-performance-caf55ce310d1)
  • Optimizing Video Stream for Low Bandwidth with Dynamic Optimizer at Netflix - (https://medium.com/netflix-techblog/optimized-shot-based-encodes-now-streaming-4b9464204830)
  • Adaptive Video Streaming at YouTube - (https://youtube-eng.googleblog.com/2018/04/making-high-quality-video-efficient.html)
    • Reducing Video Loading Time at Dailymotion - (https://medium.com/dailymotion/reducing-video-loading-time-fa9c997a2294)
  • Improving Homepage Performance at Zillow - (https://www.zillow.com/engineering/improving-homepage-performance/)
  • The Process of Optimizing for Client Performance at Expedia - (https://medium.com/expedia-engineering/go-fast-or-go-home-the-process-of-optimizing-for-client-performance-57bb497402e)
  • Web Performance at BBC - (https://medium.com/bbc-design-engineering/bbc-world-service-web-performance-26b08f7abfcc)

• Performance Optimization by Brotli Compression - (https://blogs.akamai.com/2016/02/understanding-brotlis-potential.html)
  • Boosting Site Speed Using Brotli Compression at LinkedIn - (https://engineering.linkedin.com/blog/2017/05/boosting-site-speed-using-brotli-compression)
  • Brotli at Booking.com - (https://medium.com/booking-com-development/bookings-journey-with-brotli-978b249d34f3)
  • Brotli at Treebo - (https://tech.treebo.com/a-tale-of-brotli-compression-bcb071d9780a)
  • Deploying Brotli for Static Content at Dropbox - (https://dropbox.tech/infrastructure/deploying-brotli-for-static-content)
  • Progressive Enhancement with Brotli at Yelp - (https://engineeringblog.yelp.com/2017/07/progressive-enhancement-with-brotli.html)
  • Speeding Up Redis with Compression at Doordash - (https://doordash.engineering/2019/01/02/speeding-up-redis-with-compression/)

• Performance Optimization on Languages and Frameworks - (https://www.techempower.com/benchmarks/)
  • Python at Netflix - (https://netflixtechblog.com/python-at-netflix-bba45dae649e)
  • Python at scale (3 parts) at Instagram - (https://instagram-engineering.com/python-at-scale-strict-modules-c0bb9245c834)
  • OCaml best practices (2 parts) at Issuu - (https://engineering.issuu.com/2018/12/10/our-current-ocaml-best-practices-part-2)
  • PHP at Slack - (https://slack.engineering/taking-php-seriously-cf7a60065329)
  • Go at Trivago - (https://tech.trivago.com/2020/03/02/why-we-chose-go/)
  • TypeScript at Etsy - (https://codeascraft.com/2021/11/08/etsys-journey-to-typescript/)
  • BPF and Go at Bumble - (https://medium.com/bumble-tech/bpf-and-go-modern-forms-of-introspection-in-linux-6b9802682223)
  • Ruby on Rails at GitLab - (https://medium.com/gitlab-magazine/why-we-use-ruby-on-rails-to-build-gitlab-601dce4a7a38)
  • Choosing a Language Stack at WeWork - (https://engineering.wework.com/choosing-a-language-stack-cac3726928f6)
  • Switching from Go to Rust at Discord - (https://blog.discord.com/why-discord-is-switching-from-go-to-rust-a190bbca2b1f)
  • ASP.NET Core Performance Optimization at Agoda - (https://medium.com/agoda-engineering/happy-asp-net-core-performance-optimization-4e21a383d299)

== Intelligence

• Big Data - (https://insights.sei.cmu.edu/sei_blog/2017/05/reference-architectures-for-big-data-systems.html)
  • Data Platform at Uber - (https://eng.uber.com/uber-big-data-platform/)
  • Data Platform at BMW - (https://www.unibw.de/code/events-u/jt-2018-workshops/ws3_bigdata_vortrag_widmann.pdf)
  • Data Platform at Netflix - (https://www.youtube.com/watch?v=CSDIThSwA7s)
  • Data Platform at Flipkart - (https://tech.flipkart.com/overview-of-flipkart-data-platform-20c6d3e9a196)
  • Data Platform at Coupang - (https://medium.com/coupang-tech/evolving-the-coupang-data-platform-308e305a9c45)
  • Data Platform at DoorDash - (https://doordash.engineering/2020/09/25/how-doordash-is-scaling-its-data-platform/)
  • Data Platform at Khan Academy - (http://engineering.khanacademy.org/posts/khanalytics.htm)
  • Data Infrastructure at Airbnb - (https://medium.com/airbnb-engineering/data-infrastructure-at-airbnb-8adfb34f169c)
  • Data Infrastructure at LinkedIn - (https://www.infoq.com/presentations/big-data-infrastructure-linkedin)
  • Data Infrastructure at GO-JEK - (https://blog.gojekengineering.com/data-infrastructure-at-go-jek-cd4dc8cbd929)
  • Data Ingestion Infrastructure at Pinterest - (https://medium.com/@Pinterest_Engineering/scalable-and-reliable-data-ingestion-at-pinterest-b921c2ee8754)
  • Data Analytics Architecture at Pinterest - (https://medium.com/@Pinterest_Engineering/behind-the-pins-building-analytics-f7b508cdacab)
  • Big Data Processing (2 parts) at Spotify - (https://labs.spotify.com/2017/10/23/big-data-processing-at-spotify-the-road-to-scio-part-2/)
  • Big Data Processing at Uber - (https://cdn.oreillystatic.com/en/assets/1/event/160/Big%20data%20processing%20with%20Hadoop%20and%20Spark%2C%20the%20Uber%20way%20Presentation.pdf)
  • Analytics Pipeline at Lyft - (https://cdn.oreillystatic.com/en/assets/1/event/269/Lyft_s%20analytics%20pipeline_%20From%20Redshift%20to%20Apache%20Hive%20and%20Presto%20Presentation.pdf)
  • Analytics Pipeline at Grammarly - (https://tech.grammarly.com/blog/building-a-versatile-analytics-pipeline-on-top-of-apache-spark)
  • Analytics Pipeline at Teads - (https://medium.com/teads-engineering/give-meaning-to-100-billion-analytics-events-a-day-d6ba09aa8f44)
  • ML Data Pipelines for Real-Time Fraud Prevention at PayPal - (https://www.infoq.com/presentations/paypal-ml-fraud-prevention-2018)
  • Big Data Analytics and ML Techniques at LinkedIn - (https://cdn.oreillystatic.com/en/assets/1/event/269/Big%20data%20analytics%20and%20machine%20learning%20techniques%20to%20drive%20and%20grow%20business%20Presentation%201.pdf)
  • Self-Serve Reporting Platform on Hadoop at LinkedIn - (https://cdn.oreillystatic.com/en/assets/1/event/137/Building%20a%20self-serve%20real-time%20reporting%20platform%20at%20LinkedIn%20Presentation%201.pdf)
  • Privacy-Preserving Analytics and Reporting at LinkedIn - (https://engineering.linkedin.com/blog/2019/04/privacy-preserving-analytics-and-reporting-at-linkedin)
  • Analytics Platform for Tracking Item Availability at Walmart - (https://medium.com/walmartlabs/how-we-build-a-robust-analytics-platform-using-spark-kafka-and-cassandra-lambda-architecture-70c2d1bc8981)
  • HALO - Hardware Analytics and Lifecycle Optimization at Facebook - (https://code.fb.com/data-center-engineering/hardware-analytics-and-lifecycle-optimization-halo-at-facebook/)
  • RBEA - Real-time Analytics Platform at King - (https://techblog.king.com/rbea-scalable-real-time-analytics-king/)
  • AresDB - GPU-Powered Real-time Analytics Engine at Uber - (https://eng.uber.com/aresdb/)
  • AthenaX - Streaming Analytics Platform at Uber - (https://eng.uber.com/athenax/)
  • Delta - Data Synchronization and Enrichment Platform at Netflix - (https://medium.com/netflix-techblog/delta-a-data-synchronization-and-enrichment-platform-e82c36a79aee)
  • Keystone - Real-time Stream Processing Platform at Netflix - (https://medium.com/netflix-techblog/keystone-real-time-stream-processing-platform-a3ee651812a)
  • Databook - Turning Big Data into Knowledge with Metadata at Uber - (https://eng.uber.com/databook/)
  • Amundsen - Data Discovery & Metadata Engine at Lyft - (https://eng.lyft.com/amundsen-lyfts-data-discovery-metadata-engine-62d27254fbb9)
  • Maze - Funnel Visualization Platform at Uber - (https://eng.uber.com/maze/)
  • Metacat - Making Big Data Discoverable and Meaningful at Netflix - (https://medium.com/netflix-techblog/metacat-making-big-data-discoverable-and-meaningful-at-netflix-56fb36a53520)
  • SpinalTap - Change Data Capture System at Airbnb - (https://medium.com/airbnb-engineering/capturing-data-evolution-in-a-service-oriented-architecture-72f7c643ee6f)
  • Accelerator - Fast Data Processing Framework at eBay - (https://www.ebayinc.com/stories/blogs/tech/announcing-the-accelerator-processing-1-000-000-000-lines-per-second-on-a-single-computer/)
  • Omid - Transaction Processing Platform at Yahoo - (https://yahooeng.tumblr.com/post/180867271141/a-new-chapter-for-omid)
  • TensorFlowOnSpark - Distributed Deep Learning on Big Data Clusters at Yahoo - (https://yahooeng.tumblr.com/post/157196488076/open-sourcing-tensorflowonspark-distributed-deep)
  • CaffeOnSpark - Distributed Deep Learning on Big Data Clusters at Yahoo - (https://yahooeng.tumblr.com/post/139916828451/caffeonspark-open-sourced-for-distributed-deep)
  • Spark on Scala - Analytics Reference Architecture at Adobe - (https://medium.com/adobetech/spark-on-scala-adobe-analytics-reference-architecture-7457f5614b4c)
  • Experimentation Platform (2 parts) at Spotify - (https://engineering.atspotify.com/2020/11/02/spotifys-new-experimentation-platform-part-2/)
  • Experimentation Platform at Airbnb - (https://medium.com/airbnb-engineering/https-medium-com-jonathan-parks-scaling-erf-23fd17c91166)
  • Smart Product Platform at Zalando - (https://jobs.zalando.com/tech/blog/zalando-smart-product-platform/?gh_src=4n3gxh1)
  • Log Analysis Platform at LINE - (https://www.slideshare.net/wyukawa/strata2017-sg)
  • Data Visualisation Platform at Myntra - (https://medium.com/myntra-engineering/universal-dashboarding-platform-udp-data-visualisation-platform-at-myntra-5f2522fcf72d)
  • Building and Scaling Data Lineage at Netflix - (https://medium.com/netflix-techblog/building-and-scaling-data-lineage-at-netflix-to-improve-data-infrastructure-reliability-and-1a52526a7977)
  • Building a scalable data management system for computer vision tasks at Pinterest - (https://medium.com/@Pinterest_Engineering/building-a-scalable-data-management-system-for-computer-vision-tasks-a6dee8f1c580)
  • Structured Data at Etsy - (https://codeascraft.com/2019/07/31/an-introduction-to-structured-data-at-etsy/)
  • Scaling a Mature Data Pipeline - Managing Overhead at Airbnb - (https://medium.com/airbnb-engineering/scaling-a-mature-data-pipeline-managing-overhead-f34835cbc866)
  • Spark Partitioning Strategies at Airbnb - (https://medium.com/airbnb-engineering/on-spark-hive-and-small-files-an-in-depth-look-at-spark-partitioning-strategies-a9a364f908)
  • Scaling the Hadoop Distributed File System at LinkedIn - (https://engineering.linkedin.com/blog/2021/the-exabyte-club--linkedin-s-journey-of-scaling-the-hadoop-distr)
  • Scaling Hadoop YARN cluster beyond 10,000 nodes at LinkedIn - (https://engineering.linkedin.com/blog/2021/scaling-linkedin-s-hadoop-yarn-cluster-beyond-10-000-nodes)

• Distributed Machine Learning - (https://www.csie.ntu.edu.tw/~cjlin/talks/bigdata-bilbao.pdf)
  • Machine Learning Platform at Uber - (https://eng.uber.com/michelangelo/)
  • Machine Learning Platform at Yelp - (https://engineeringblog.yelp.com/2020/07/ML-platform-overview.html)
  • Machine Learning Platform at Etsy - (https://codeascraft.com/2021/12/21/redesigning-etsys-machine-learning-platform/)
  • Platform for Serving Recommendations at Etsy - (https://www.etsy.com/sg-en/codeascraft/building-a-platform-for-serving-recommendations-at-etsy)
  • Aroma - Using ML for Code Recommendation at Facebook - (https://code.fb.com/developer-tools/aroma/)
  • Flyte - Cloud Native Machine Learning and Data Processing Platform at Lyft - (https://eng.lyft.com/introducing-flyte-cloud-native-machine-learning-and-data-processing-platform-fb2bb3046a59)
  • LyftLearn - ML Model Training Infrastructure built on Kubernetes at Lyft - (https://eng.lyft.com/lyftlearn-ml-model-training-infrastructure-built-on-kubernetes-aef8218842bb)
  • Horovod - Open Source Distributed Deep Learning Framework for TensorFlow at Uber - (https://eng.uber.com/horovod/)
  • COTA - Improving Customer Care with NLP & Machine Learning at Uber - (https://eng.uber.com/cota/)
  • Manifold - Model-Agnostic Visual Debugging Tool for Machine Learning at Uber - (https://eng.uber.com/manifold/)
  • Repo-Topix - Topic Extraction Framework at Github - (https://githubengineering.com/topics/)
  • Concourse - Generating Personalized Content Notifications in Near-Real-Time at LinkedIn - (https://engineering.linkedin.com/blog/2018/05/concourse--generating-personalized-content-notifications-in-near)
  • Altus Care - Applying a Chatbot to Platform Engineering at eBay - (https://www.ebayinc.com/stories/blogs/tech/altus-care-apply-chatbot-to-ebay-platform-engineering/)
  • PyKrylov - Accelerating Machine Learning Research at eBay - (https://tech.ebayinc.com/engineering/pykrylov-accelerating-machine-learning-research-at-ebay/)
  • Box Graph - Spontaneous Social Network at Box - (https://blog.box.com/blog/box-graph-how-we-built-spontaneous-social-network/)
  • PricingNet - Pricing Modelling with Neural Networks at Skyscanner - (https://hackernoon.com/pricingnet-modelling-the-global-airline-industry-with-neural-networks-833844d20ea6)
  • PinText - Multitask Text Embedding System at Pinterest - (https://medium.com/pinterest-engineering/pintext-a-multitask-text-embedding-system-in-pinterest-b80ece364555)
  • SearchSage - Learning Search Query Representations at Pinterest - (https://medium.com/pinterest-engineering/searchsage-learning-search-query-representations-at-pinterest-654f2bb887fc)
  • Cannes - ML saves $1.7M a year on document previews at Dropbox - (https://dropbox.tech/machine-learning/cannes--how-ml-saves-us--1-7m-a-year-on-document-previews)
  • Scaling Gradient Boosted Trees for Click-Through-Rate Prediction at Yelp - (https://engineeringblog.yelp.com/2018/01/building-a-distributed-ml-pipeline-part1.html)
  • Learning with Privacy at Scale at Apple - (https://machinelearning.apple.com/2017/12/06/learning-with-privacy-at-scale.html)
  • Deep Learning for Image Classification Experiment at Mercari - (https://medium.com/mercari-engineering/mercaris-image-classification-experiment-using-deep-learning-9b4e994a18ec)
  • Deep Learning for Frame Detection in Product Images at Allegro - (https://allegro.tech/2016/12/deep-learning-for-frame-detection.html)
  • Content-based Video Relevance Prediction at Hulu - (https://medium.com/hulu-tech-blog/content-based-video-relevance-prediction-b2c448e14752)
  • Improving Photo Selection With Deep Learning at TripAdvisor - (http://engineering.tripadvisor.com/improving-tripadvisor-photo-selection-deep-learning/)
  • Personalized Recommendations for Experiences Using Deep Learning at TripAdvisor - (https://www.tripadvisor.com/engineering/personalized-recommendations-for-experiences-using-deep-learning/)
  • Personalised Recommender Systems at BBC - (https://medium.com/bbc-design-engineering/developing-personalised-recommender-systems-at-the-bbc-e26c5e0c4216)
  • Machine Learning (2 parts) at Condé Nast - (https://technology.condenast.com/story/handbag-brand-and-color-detection)
  • Natural Language Processing and Content Analysis (2 parts) at Condé Nast - (https://technology.condenast.com/story/natural-language-processing-and-content-analysis-at-conde-nast-part-2-system-architecture)
  • Mapping the World of Music Using Machine Learning (2 parts) at iHeartRadio - (https://tech.iheart.com/mapping-the-world-of-music-using-machine-learning-part-2-aa50b6a0304c)
  • Machine Learning to Improve Streaming Quality at Netflix - (https://medium.com/netflix-techblog/using-machine-learning-to-improve-streaming-quality-at-netflix-9651263ef09f)
  • Machine Learning to Match Drivers & Riders at GO-JEK - (https://blog.gojekengineering.com/how-we-use-machine-learning-to-match-drivers-riders-b06d617b9e5)
  • Improving Video Thumbnails with Deep Neural Nets at YouTube - (https://youtube-eng.googleblog.com/2015/10/improving-youtube-video-thumbnails-with_8.html)
  • Quantile Regression for Delivering On Time at Instacart - (https://tech.instacart.com/how-instacart-delivers-on-time-using-quantile-regression-2383e2e03edb)
  • Cross-Lingual End-to-End Product Search with Deep Learning at Zalando - (https://jobs.zalando.com/tech/blog/search-deep-neural-network/)
  • Machine Learning at Jane Street - (https://blog.janestreet.com/real-world-machine-learning-part-1/)
  • Machine Learning for Ranking Answers End-to-End at Quora - (https://engineering.quora.com/A-Machine-Learning-Approach-to-Ranking-Answers-on-Quora)
  • Clustering Similar Stories Using LDA at Flipboard - (http://engineering.flipboard.com/2017/02/storyclustering)
  • Similarity Search at Flickr - (https://code.flickr.net/2017/03/07/introducing-similarity-search-at-flickr/)
  • Large-Scale Machine Learning Pipeline for Job Recommendations at Indeed - (http://engineering.indeedblog.com/blog/2016/04/building-a-large-scale-machine-learning-pipeline-for-job-recommendations/)
  • Deep Learning from Prototype to Production at Taboola - (http://engineering.taboola.com/deep-learning-from-prototype-to-production/)
  • Atom Smashing using Machine Learning at CERN - (https://cdn.oreillystatic.com/en/assets/1/event/144/Atom%20smashing%20using%20machine%20learning%20at%20CERN%20Presentation.pdf)
  • Mapping Tags at Medium - (https://medium.engineering/mapping-mediums-tags-1b9a78d77cf0)
  • Clustering with the Dirichlet Process Mixture Model in Scala at Monsanto - (http://engineering.monsanto.com/2015/11/23/chinese-restaurant-process/)
  • Map Pins with DBSCAN & Random Forests at Foursquare - (https://engineering.foursquare.com/you-are-probably-here-better-map-pins-with-dbscan-random-forests-9d51e8c1964d)
  • Detecting and Preventing Fraud at Uber - (https://eng.uber.com/advanced-technologies-detecting-preventing-fraud-uber/)
  • Forecasting at Uber - (https://eng.uber.com/forecasting-introduction/)
  • Financial Forecasting at Uber - (https://eng.uber.com/transforming-financial-forecasting-machine-learning/)
  • Productionizing ML with Workflows at Twitter - (https://blog.twitter.com/engineering/en_us/topics/insights/2018/ml-workflows.html)
  • GUI Testing Powered by Deep Learning at eBay - (https://www.ebayinc.com/stories/blogs/tech/gui-testing-powered-by-deep-learning/)
  • Scaling Machine Learning to Recommend Driving Routes at Pivotal - (http://engineering.pivotal.io/post/scaling-machine-learning-to-recommend-driving-routes/)
  • Real-Time Predictions at DoorDash - (https://www.infoq.com/presentations/doordash-real-time-predictions)
  • Machine Intelligence at Dropbox - (https://blogs.dropbox.com/tech/2018/09/machine-intelligence-at-dropbox-an-update-from-our-dbxi-team/)
  • Machine Learning for Indexing Text from Billions of Images at Dropbox - (https://blogs.dropbox.com/tech/2018/10/using-machine-learning-to-index-text-from-billions-of-images/)
  • Modeling User Journeys via Semantic Embeddings at Etsy - (https://codeascraft.com/2018/07/12/modeling-user-journey-via-semantic-embeddings/)
  • Automated Fake Account Detection at LinkedIn - (https://engineering.linkedin.com/blog/2018/09/automated-fake-account-detection-at-linkedin)
  • Building Knowledge Graph at Airbnb - (https://medium.com/airbnb-engineering/contextualizing-airbnb-by-building-knowledge-graph-b7077e268d5a)
  • Core Modeling at Instagram - (https://instagram-engineering.com/core-modeling-at-instagram-a51e0158aa48)
  • Neural Architecture Search (NAS) for Prohibited Item Detection at Mercari - (https://tech.mercari.com/entry/2019/04/26/163000)
  • Computer Vision at Airbnb - (https://medium.com/airbnb-engineering/amenity-detection-and-beyond-new-frontiers-of-computer-vision-at-airbnb-144a4441b72e)
  • 3D Home Backend Algorithms at Zillow - (https://www.zillow.com/engineering/behind-zillow-3d-home-backend-algorithms/)
  • Long-term Forecasts at Lyft - (https://eng.lyft.com/making-long-term-forecasts-at-lyft-fac475b3ba52)
  • Discovering Popular Dishes with Deep Learning at Yelp - (https://engineeringblog.yelp.com/2019/10/discovering-popular-dishes-with-deep-learning.html)
  • SplitNet Architecture for Ad Candidate Ranking at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/splitnet-architecture-for-ad-candidate-ranking.html)
  • Jobs Filter at Indeed - (https://engineering.indeedblog.com/blog/2019/09/jobs-filter/)
  • Architecting Restaurant Wait Time Predictions at Yelp - (https://engineeringblog.yelp.com/2019/12/architecting-wait-time-estimations.html)
  • Music Personalization at Spotify - (https://labs.spotify.com/2016/08/07/commodity-music-ml-services/)
  • Deep Learning for Domain Name Valuation at GoDaddy - (https://sg.godaddy.com/engineering/2019/07/26/domain-name-valuation/)
  • Similarity Clustering to Catch Fraud Rings at Stripe - (https://stripe.com/blog/similarity-clustering)
  • Personalized Search at Etsy - (https://codeascraft.com/2020/10/29/bringing-personalized-search-to-etsy/)
  • ML Feature Serving Infrastructure at Lyft - (https://eng.lyft.com/ml-feature-serving-infrastructure-at-lyft-d30bf2d3c32a)
  • Context-Specific Bidding System at Etsy - (https://codeascraft.com/2021/03/23/how-we-built-a-context-specific-bidding-system-for-etsy-ads/)
  • Moderating Promotional Spam and Inappropriate Content in Photos at Scale at Yelp - (https://engineeringblog.yelp.com/2021/05/moderating-promotional-spam-and-inappropriate-content-in-photos-at-scale-at-yelp.html)
  • Optimizing Payments with Machine Learning at Dropbox - (https://dropbox.tech/machine-learning/optimizing-payments-with-machine-learning)

== Architecture

• Systems We Make - (https://systemswemake.com/)
• Tech Stack (2 parts) at Uber - (https://eng.uber.com/tech-stack-part-two/)
• Tech Stack at Medium - (https://medium.engineering/the-stack-that-helped-medium-drive-2-6-millennia-of-reading-time-e56801f7c492)
• Tech Stack at Shopify - (https://engineering.shopify.com/blogs/engineering/e-commerce-at-scale-inside-shopifys-tech-stack)
• Building Services (4 parts) at Airbnb - (https://medium.com/airbnb-engineering/building-services-at-airbnb-part-4-23c95e428064)
• Architecture of Evernote - (https://evernote.com/blog/a-digest-of-evernotes-architecture/)
• Architecture of Chat Service (3 parts) at Riot Games - (https://engineering.riotgames.com/news/chat-service-architecture-persistence)
• Architecture of League of Legends Client Update - (https://technology.riotgames.com/news/architecture-league-client-update)
• Architecture of Ad Platform at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2020/building-twitters-ad-platform-architecture-for-the-future.html)
• Architecture of API Gateway at Uber - (https://eng.uber.com/architecture-api-gateway/)
• Basic Architecture of Slack - (https://slack.engineering/how-slack-built-shared-channels-8d42c895b19f)
• Back-end at LinkedIn - (https://engineering.linkedin.com/architecture/brief-history-scaling-linkedin)
• Back-end at Flickr - (https://yahooeng.tumblr.com/post/157200523046/introducing-tripod-flickrs-backend-refactored)
• Infrastructure (3 parts) at Zendesk - (https://medium.com/zendesk-engineering/the-history-of-infrastructure-at-zendesk-part-3-foundation-team-forming-and-evolving-9859e40f5390)
• Cloud Infrastructure at Grubhub - (https://bytes.grubhub.com/cloud-infrastructure-at-grubhub-94db998a898a)
• Real-time Presence Platform at LinkedIn - (https://engineering.linkedin.com/blog/2018/01/now-you-see-me--now-you-dont--linkedins-real-time-presence-platf)
• Settings Platform at LinkedIn - (https://engineering.linkedin.com/blog/2019/05/building-member-trust-through-a-centralized-and-scalable-setting)
• Nearline System for Scale and Performance (2 parts) at Glassdoor - (https://medium.com/glassdoor-engineering/building-a-nearline-system-for-scale-and-performance-part-ii-9e01bf51b23d)
• Real-time User Action Counting System for Ads at Pinterest - (https://medium.com/@Pinterest_Engineering/building-a-real-time-user-action-counting-system-for-ads-88a60d9c9a)
• API Platform at Riot Games - (https://engineering.riotgames.com/news/riot-games-api-deep-dive)
• Games Platform at The New York Times - (https://open.nytimes.com/play-by-play-moving-the-nyt-games-platform-to-gcp-with-zero-downtime-cf425898d569)
• Kabootar - Communication Platform at Swiggy - (https://bytes.swiggy.com/kabootar-swiggys-communication-platform-e5a43cc25629)
• Simone - Distributed Simulation Service at Netflix - (https://medium.com/netflix-techblog/https-medium-com-netflix-techblog-simone-a-distributed-simulation-service-b2c85131ca1b)
• Seagull - Distributed System that Helps Running * 20 Million Tests Per Day at Yelp - (https://engineeringblog.yelp.com/2017/04/how-yelp-runs-millions-of-tests-every-day.html)
• PriceAggregator - Intelligent System for Hotel Price Fetching (3 parts) at Agoda - (https://medium.com/agoda-engineering/priceaggregator-an-intelligent-system-for-hotel-price-fetching-part-3-52acfc705081)
• Phoenix - Testing Platform (3 parts) at Tinder - (https://medium.com/tinder-engineering/phoenix-tinders-testing-platform-part-iii-520728b9537)
• Hexagonal Architecture at Netflix - (https://netflixtechblog.com/ready-for-changes-with-hexagonal-architecture-b315ec967749)
• Architecture of Play API Service at Netflix - (https://qconsf.com/system/files/presentation-slides/qcon_netflix_play_api.pdf)
• Architecture of Sticker Services at LINE - (https://www.slideshare.net/linecorp/architecture-sustaining-line-sticker-services)
• Stack Overflow Enterprise at Palantir - (https://medium.com/@palantir/terraforming-stack-overflow-enterprise-in-aws-47ee431e6be7)
• Architecture of Following Feed, Interest Feed, and Picked For You at Pinterest - (https://medium.com/@Pinterest_Engineering/building-a-dynamic-and-responsive-pinterest-7d410e99f0a9)
• API Specification Workflow at WeWork - (https://engineering.wework.com/our-api-specification-workflow-9337448d6ee6)
• Media Database at Netflix - (https://medium.com/netflix-techblog/implementing-the-netflix-media-database-53b5a840b42a)
• Member Transaction History Architecture at Walmart - (https://medium.com/walmartlabs/member-transaction-history-architecture-8b6e34b87c21)
• Sync Engine (2 parts) at Dropbox - (https://dropbox.tech/infrastructure/-testing-our-new-sync-engine)
• Ads Pacing Service at Twitter - (https://blog.twitter.com/engineering/en_us/topics/infrastructure/2021/how-we-built-twitter-s-highly-reliable-ads-pacing-service)
• Rapid Event Notification System at Netflix - (https://netflixtechblog.com/rapid-event-notification-system-at-netflix-6deb1d2b57d1)
• Architectures of Finance and Banking Systems - (https://www.sesameindia.com/images/core-banking-system-architecture)
  • Bank Backend at Monzo - (https://monzo.com/blog/2016/09/19/building-a-modern-bank-backend/)
  • Trading Platform for Scale at Wealthsimple - (https://medium.com/@Wealthsimple/engineering-at-wealthsimple-reinventing-our-trading-platform-for-scale-17e332241b6c)
  • Core Banking System at Margo Bank - (https://medium.com/margobank/choosing-an-architecture-85750e1e5a03)
  • Architecture of Nubank - (https://www.infoq.com/presentations/nubank-architecture)
  • Tech Stack at TransferWise - (http://tech.transferwise.com/the-transferwise-stack-heartbeat-of-our-little-revolution/)
  • Tech Stack at Addepar - (https://medium.com/build-addepar/our-tech-stack-a4f55dab4b0d)
  • Avoiding Double Payments in a Distributed Payments System at Airbnb - (https://medium.com/airbnb-engineering/avoiding-double-payments-in-a-distributed-payments-system-2981f6b070bb)

== Interview

• Designing Large-Scale Systems - (https://www.somethingsimilar.com/2013/01/14/notes-on-distributed-systems-for-young-bloods/)
  • My Scaling Hero - Jeff Atwood (a dose of Endorphins before your interview, JK) - (https://blog.codinghorror.com/my-scaling-hero/)
  • Software Engineering Advice from Building Large-Scale Distributed Systems - Jeff Dean - (https://static.googleusercontent.com/media/research.google.com/en//people/jeff/stanford-295-talk.pdf)
  • Introduction to Architecting Systems for Scale - (https://lethain.com/introduction-to-architecting-systems-for-scale/)
  • Anatomy of a System Design Interview - (https://hackernoon.com/anatomy-of-a-system-design-interview-4cb57d75a53f)
  • 8 Things You Need to Know Before a System Design Interview - (http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/)
  • Top 10 System Design Interview Questions - (https://hackernoon.com/top-10-system-design-interview-questions-for-software-engineers-8561290f0444)
  • Top 10 Common Large-Scale Software Architectural Patterns in a Nutshell - (https://towardsdatascience.com/10-common-software-architectural-patterns-in-a-nutshell-a0b47a1e9013)
  • Cloud Big Data Design Patterns - Lynn Langit - (https://lynnlangit.com/2017/03/14/beyond-relational/)
  • How NOT to design Netflix in your 45-minute System Design Interview - (https://hackernoon.com/how-not-to-design-netflix-in-your-45-minute-system-design-interview-64953391a054)
  • API Best Practices - Webhooks, Deprecation, and Design - (https://zapier.com/engineering/api-best-practices/)

• Explaining Low-Level Systems (OS, Network/Protocol, Database, Storage) - (https://www.palantir.com/how-to-ace-a-systems-design-interview/)
  • OSI and TCP/IP Cheat Sheet - (http://jaredheinrichs.com/mastering-the-osi-tcpip-models.html)
  • The Precise Meaning of I/O Wait Time in Linux - (http://veithen.github.io/2013/11/18/iowait-linux.html)
  • Paxos Made Live – An Engineering Perspective - (https://research.google.com/archive/paxos_made_live.html)
  • How to do Distributed Locking - (https://martin.kleppmann.com/2016/02/08/how-to-do-distributed-locking.html)
  • SQL Transaction Isolation Levels Explained - (http://elliot.land/post/sql-transaction-isolation-levels-explained)

• "What Happens When... and How" Questions - (https://www.glassdoor.com/Interview/What-happens-when-you-type-www-google-com-in-your-browser-QTN_56396.htm)
  • Netflix - What Happens When You Press Play - (http://highscalability.com/blog/2017/12/11/netflix-what-happens-when-you-press-play.html)
  • Monzo - How Peer-To-Peer Payments Work - (https://monzo.com/blog/2018/04/05/how-monzo-to-monzo-payments-work/)
  • Transit and Peering - How Your Requests Reach GitHub - (https://githubengineering.com/transit-and-peering-how-your-requests-reach-github/)
  • How Spotify Streams Music - (https://labs.spotify.com/2018/08/31/smoother-streaming-with-bbr/)

== Organization

• Engineering Levels at SoundCloud - (https://developers.soundcloud.com/blog/engineering-levels)
• Engineering Roles at Palantir - (https://medium.com/palantir/dev-versus-delta-demystifying-engineering-roles-at-palantir-ad44c2a6e87)
• Scaling Engineering Teams at Twitter - (https://www.youtube.com/watch?v=-PXi_7Ld5kU)
• Scaling Decision-Making Across Teams at LinkedIn - (https://engineering.linkedin.com/blog/2018/03/scaling-decision-making-across-teams-within-linkedin-engineering)
• Scaling Data Science Team at GOJEK - (https://blog.gojekengineering.com/the-dynamics-of-scaling-an-organisation-cb96dbe8aecd)
• Scaling Agile at Zalando - (https://jobs.zalando.com/tech/blog/scaling-agile-zalando/?gh_src=4n3gxh1)
• Scaling Agile at bol.com - (https://hackernoon.com/how-we-run-bol-com-with-60-autonomous-teams-fe7a98c0759)
• Lessons Learned from Scaling a Product Team at Intercom - (https://blog.intercom.com/how-we-build-software/)
• Hiring, Managing, and Scaling Engineering Teams at Typeform - (https://medium.com/@eleonorazucconi/toby-oliver-cto-typeform-on-hiring-managing-and-scaling-engineering-teams-86bef9e5a708)
• Scaling the Datagram Team at Instagram - (https://instagram-engineering.com/scaling-the-datagram-team-fc67bcf9b721)
• Scaling the Design Team at Flexport - (https://medium.com/flexport-design/designing-a-design-team-a9a066bc48a5)
• Team Model for Scaling a Design System at Salesforce - (https://medium.com/salesforce-ux/the-salesforce-team-model-for-scaling-a-design-system-d89c2a2d404b)
• Building Analytics Team (4 parts) at Wish - (https://medium.com/wish-engineering/scaling-the-analytics-team-at-wish-part-4-recruiting-2a9823b9f5a)
• From 2 Founders to 1000 Employees at Transferwise - (https://medium.com/transferwise-ideas/from-2-founders-to-1000-employees-how-a-small-scale-startup-grew-into-a-global-community-9f26371a551b)
• Lessons Learned Growing a UX Team from 10 to 170 at Adobe - (https://medium.com/thinking-design/lessons-learned-growing-a-ux-team-from-10-to-170-f7b47be02262)
• Five Lessons from Scaling at Pinterest - (https://medium.com/@sarahtavel/five-lessons-from-scaling-pinterest-6a699a889b08)
• Approach Engineering at Vinted - (http://engineering.vinted.com/2018/09/04/how-we-approach-engineering-at-vinted/)
• Using Metrics to Improve the Development Process (and Coach People) at Indeed - (https://engineering.indeedblog.com/blog/2018/10/using-metrics-to-improve-the-development-process-and-coach-people/)
• Mistakes to Avoid while Creating an Internal Product at Skyscanner - (https://medium.com/@SkyscannerEng/9-mistakes-to-avoid-while-creating-an-internal-product-63d579b00b1a)
• RACI (Responsible, Accountable, Consulted, Informed) at Etsy - (https://codeascraft.com/2018/01/04/selecting-a-cloud-provider/)
• Four Pillars of Leading People (Empathy, Inspiration, Trust, Honesty) at Zalando - (https://jobs.zalando.com/tech/blog/four-pillars-leadership/)
• Pair Programming at Shopify - (https://engineering.shopify.com/blogs/engineering/pair-programming-explained)
• Distributed Responsibility at Asana - (https://blog.asana.com/2017/12/distributed-responsibility-engineering-manager/)
• Rotating Engineers at Zalando - (https://jobs.zalando.com/tech/blog/rotating-engineers-at-zalando/)
• Experiment Idea Review at Pinterest - (https://medium.com/pinterest-engineering/how-pinterest-supercharged-its-growth-team-with-experiment-idea-review-fd6571a02fb8)
• Tech Migrations at Spotify - (https://engineering.atspotify.com/2020/06/25/tech-migrations-the-spotify-way/)
• Improving Code Ownership at Yelp - (https://engineeringblog.yelp.com/2021/01/whose-code-is-it-anyway.html)
• Agile Code Base at eBay - (https://tech.ebayinc.com/engineering/how-creating-an-agile-code-base-helped-ebay-pivot-for-apple-silicon/)
• Code Review - (https://ai.google/research/pubs/pub47025)
  • Code Review at Palantir - (https://medium.com/@palantir/code-review-best-practices-19e02780015f)
  • Code Review at LINE - (https://engineering.linecorp.com/en/blog/effective-code-review/)
  • Code Reviews at Medium - (https://medium.engineering/code-reviews-at-medium-bed2c0dce13a)
  • Code Review at LinkedIn - (https://engineering.linkedin.com/blog/2018/06/scaling-collective-code-ownership-with-code-reviews)
  • Code Review at Disney - (https://medium.com/disney-streaming/the-secret-to-better-code-reviews-c14c7884b9ac)
  • Code Review at Netlify - (https://www.netlify.com/blog/2020/03/05/feedback-ladders-how-we-encode-code-reviews-at-netlify/)

== Talk

• Distributed Systems in One Lesson - Tim Berglund, Senior Director of Developer Experience at Confluent - (https://www.youtube.com/watch?v=Y6Ev8GIlbxc)
• Building Real Time Infrastructure at Facebook - Jeff Barber and Shie Erlich, Software Engineer at Facebook - (https://www.usenix.org/conference/srecon17americas/program/presentation/erlich)
• Building Reliable Social Infrastructure for Google - Marc Alvidrez, Senior Manager at Google - (https://www.usenix.org/conference/srecon16/program/presentation/alvidrez)
• Building a Distributed Build System at Google Scale - Aysylu Greenberg, SDE at Google - (https://www.youtube.com/watch?v=K8YuavUy6Qc)
• Site Reliability Engineering at Dropbox - Tammy Butow, Site Reliability Engineering Manager at Dropbox - (https://www.youtube.com/watch?v=ggizCjUCCqE)
• How Google Does Planet-Scale for Planet-Scale Infra - Melissa Binde, SRE Director for Google Cloud Platform - (https://www.youtube.com/watch?v=H4vMcD7zKM0)
• Netflix Guide to Microservices - Josh Evans, Director of Operations Engineering at Netflix - (https://www.youtube.com/watch?v=CZ3wIuvmHeM&t=2837s)
• Achieving Rapid Response Times in Large Online Services - Jeff Dean, Google Senior Fellow - (https://www.youtube.com/watch?v=1-3Ahy7Fxsc)
• Architecture to Handle 80K RPS Celebrity Sales at Shopify - Simon Eskildsen, Engineering Lead at Shopify - (https://www.youtube.com/watch?v=N8NWDHgWA28)
• Lessons of Scale at Facebook - Bobby Johnson, Director of Engineering at Facebook - (https://www.youtube.com/watch?v=QCHiNEw73AU)
• Performance Optimization for the Greater China Region at Salesforce - Jeff Cheng, Enterprise Architect at Salesforce - (https://www.salesforce.com/video/1757880/)
• How GIPHY Delivers a GIF to 300 Millions Users - Alex Hoang and Nima Khoshini, Services Engineers at GIPHY - (https://vimeo.com/252367076)
• High Performance Packet Processing Platform at Alibaba - Haiyong Wang, Senior Director at Alibaba - (https://www.youtube.com/watch?v=wzsxJqeVIhY&list=PLMu8-hpCxIVENuAue7bd0eCAglLGY_8AW&index=7)
• Solving Large-scale Data Center and Cloud Interconnection Problems - Ihab Tarazi, CTO at Equinix - (https://atscaleconference.com/videos/solving-large-scale-data-center-and-cloud-interconnection-problems/)
• Scaling Dropbox - Kevin Modzelewski, Back-end Engineer at Dropbox - (https://www.youtube.com/watch?v=PE4gwstWhmc)
• Scaling Reliability at Dropbox - Sat Kriya Khalsa, SRE at Dropbox - (https://www.youtube.com/watch?v=IhGWOaD5BYQ)
• Scaling with Performance at Facebook - Bill Jia, VP of Infrastructure at Facebook - (https://atscaleconference.com/videos/performance-scale-2018-opening-remarks/)
• Scaling Live Videos to a Billion Users at Facebook - Sachin Kulkarni, Director of Engineering at Facebook - (https://www.youtube.com/watch?v=IO4teCbHvZw)
• Scaling Infrastructure at Instagram - Lisa Guo, Instagram Engineering - (https://www.youtube.com/watch?v=hnpzNAPiC0E)
• Scaling Infrastructure at Twitter - Yao Yue, Staff Software Engineer at Twitter - (https://www.youtube.com/watch?v=6OvrFkLSoZ0)
• Scaling Infrastructure at Etsy - Bethany Macri, Engineering Manager at Etsy - (https://www.youtube.com/watch?v=LfqyhM1LeIU)
• Scaling Real-time Infrastructure at Alibaba for Global Shopping Holiday - Xiaowei Jiang, Senior Director at Alibaba - (https://atscaleconference.com/videos/scaling-alibabas-real-time-infrastructure-for-global-shopping-holiday/)
• Scaling Data Infrastructure at Spotify - Matti (Lepistö) Pehrs, Spotify - (https://www.youtube.com/watch?v=cdsfRXr9pJU)
• Scaling Pinterest - Marty Weiner, Pinterest’s founding engineer - (https://www.youtube.com/watch?v=jQNCuD_hxdQ&list=RDhnpzNAPiC0E&index=11)
• Scaling Slack - Bing Wei, Software Engineer (Infrastructure) at Slack - (https://www.infoq.com/presentations/slack-scalability)
• Scaling Backend at Youtube - Sugu Sougoumarane, SDE at Youtube - (https://www.youtube.com/watch?v=5yDO-tmIoXY&feature=youtu.be)
• Scaling Backend at Uber - Matt Ranney, Chief Systems Architect at Uber - (https://www.youtube.com/watch?v=nuiLcWE8sPA)
• Scaling Global CDN at Netflix - Dave Temkin, Director of Global Networks at Netflix - (https://www.youtube.com/watch?v=tbqcsHg-Q_o)
• Scaling Load Balancing Infra to Support 1.3 Billion Users at Facebook - Patrick Shuff, Production Engineer at Facebook - (https://www.youtube.com/watch?v=bxhYNfFeVF4)
• Scaling (a NSFW site) to 200 Million Views A Day And Beyond - Eric Pickup, Lead Platform Developer at MindGeek - (https://www.youtube.com/watch?v=RlkCdM_f3p4)
• Scaling Counting Infrastructure at Quora - Chun-Ho Hung and Nikhil Gar, SEs at Quora - (https://www.infoq.com/presentations/quora-analytics)
• Scaling Git at Microsoft - Saeed Noursalehi, Principal Program Manager at Microsoft - (https://www.youtube.com/watch?v=g_MPGU_m01s)
• Scaling Multitenant Architecture Across Multiple Data Centres at Shopify - Weingarten, Engineering Lead at Shopify - (https://www.youtube.com/watch?v=F-f0-k46WVk)

== Book

• Big Data, Web Ops & DevOps Ebooks - O'Reilly (Online - Free) - (http://www.oreilly.com/webops/free/)
• Google Site Reliability Engineering (Online - Free) - (https://landing.google.com/sre/book.html)
• Distributed Systems for Fun and Profit (Online - Free) - (http://book.mixu.net/distsys/)
• What Every Developer Should Know About SQL Performance (Online - Free) - (https://use-the-index-luke.com/sql/table-of-contents)
• Beyond the Twelve-Factor App - Exploring the DNA of Highly Scalable, Resilient Cloud Applications (Free) - (http://www.oreilly.com/webops-perf/free/beyond-the-twelve-factor-app.csp)
• Chaos Engineering - Building Confidence in System Behavior through Experiments (Free) - (http://www.oreilly.com/webops-perf/free/chaos-engineering.csp?intcmp=il-webops-free-product-na_new_site_chaos_engineering_text_cta)
• The Art of Scalability - (http://theartofscalability.com/)
• Web Scalability for Startup Engineers - (https://www.goodreads.com/book/show/23615147-web-scalability-for-startup-engineers)
• Scalability Rules - 50 Principles for Scaling Web Sites - (http://scalabilityrules.com/)

Fair Use Sources:

• https://github.com/azurecloudmonk/awesome-scalability
  • https://github.com/binhnguyennus/awesome-scalability