Table of Contents
Continuous Delivery - Reliable Software Releases through Build, Test, and Deployment Automation
Return to Software Engineering and Programming Bibliography, Continuous Delivery
The book you're referring to, “Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation” by Jez Humble and David Farley, is a comprehensive guide focusing on software engineering processes that allow for the rapid and reliable delivery of software. Given the nature of your request, I will provide a synthesized overview in MediaWiki syntax, incorporating technical terms where appropriate and including URLs for GitHub repositories and an official website. For an accurate and up-to-date source, it's best to consult the book directly or explore resources provided by the authors or the publisher.
Introduction
“Continuous Delivery” (CD) introduces the concept of developing software in a way that allows teams to release it to production at any time. The book emphasizes the importance of automation in the build, test, and deployment processes to ensure that software can be reliably released at a rapid pace. It covers the foundations of CD, its benefits, and the cultural shift required for its successful implementation.
The Foundation of Continuous Delivery
The foundation of CD lies in automation and the use of best practices in software development. The authors discuss the importance of version control, automated testing, and the continuous integration (CI) pipeline. These elements work together to create a stable, efficient, and scalable delivery process.
Continuous Integration
Continuous Integration is a key practice in CD, involving frequent integration of code into a shared repository. Each check-in is verified by an automated build and test process, helping to identify and fix integration errors quickly. This chapter dives into how CI forms the backbone of a successful CD pipeline, reducing risks and improving software quality.
Testing Strategies
A comprehensive testing strategy is vital for CD. The book details various testing levels, including unit, integration, system, and acceptance testing. Automated testing ensures that changes are validated quickly, allowing for faster feedback and more reliable software releases.
Deployment Automation
Deployment automation is the process of automatically deploying software to production or staging environments. This ensures that the deployment process is repeatable, reliable, and can be done at the push of a button. The authors provide insights into effective deployment strategies and tools that facilitate automation.
Managing Infrastructure as Code
Infrastructure as Code (IaC) is a practice where infrastructure is provisioned and managed using code and software development techniques. The book explains how IaC supports CD by allowing for the rapid provisioning of environments in a repeatable manner, reducing discrepancies between development and production environments.
Continuous Delivery Pipeline
The CD pipeline is a series of stages through which software passes on its way to production. The book outlines how to construct a CD pipeline, from code commit to production deployment, and how each stage in the pipeline helps to ensure that the software is release-ready.
Feedback Loops
Creating short feedback loops is essential in CD to quickly identify and address issues. The authors discuss how to establish feedback mechanisms throughout the CD pipeline, enabling teams to rapidly respond to problems and improve the quality of the software.
Culture and Management
CD requires a shift in culture and management practices. The book addresses the changes needed within teams and organizations to support CD, including collaboration, shared responsibilities, and a focus on quality and customer value.
Case Studies and Examples
Throughout the book, the authors include case studies and examples from real-world organizations that have successfully implemented CD. These provide practical insights and lessons learned, illustrating the challenges and benefits of adopting CD practices.
Tools and Technologies
A variety of tools and technologies can support CD practices. The book reviews common tools for version control, CI, testing, deployment, and monitoring, offering guidance on selecting and integrating tools into the CD pipeline.
Security and Compliance
Security and compliance are critical concerns in CD. The authors discuss strategies for integrating security practices into the CD pipeline, ensuring that releases are secure and comply with regulatory requirements.
Measuring Success
To evaluate the effectiveness of CD practices, it's important to measure success. The book suggests key metrics and indicators that can help teams assess the impact of CD on software quality, delivery speed, and overall business performance.
Scaling Continuous Delivery
As organizations grow, scaling CD practices becomes a challenge. The book provides strategies for scaling CD across multiple teams and projects, ensuring that the benefits of CD are realized at scale.
Advanced Topics
The book also covers advanced topics in CD, such as managing data in continuous delivery, feature toggles for managing release, and building a culture of experimentation and learning.
Future Trends
The authors speculate on future trends in CD, including the role of artificial intelligence and machine learning in automating more aspects of the delivery pipeline, and the increasing importance of cloud-native technologies.
Resources
- **GitHub Repositories**: While the book itself might not have a dedicated GitHub repository, many principles, practices, and tools discussed in the book are open-source and can be found on GitHub. Searching GitHub for Continuous Delivery tools or examples can yield repositories where the community has applied practices discussed in the book.
- **Official Website**: For the most direct and reliable information, visiting the publisher's website or Jez Humble's and David Farley's personal or professional web pages is recommended. Jez Humble has been active in promoting Continuous Delivery principles and often shares resources, talks, and writings on his [personal website](https://jezhumble.net/) and Twitter handle.
- **Further Reading and Resources**: The Continuous Delivery website ([continuousdelivery.com](https://continuousdelivery.com)) managed by Jez Humble is a great place to start. It provides a wealth of information, including articles, FAQs, and presentations related to Continuous Delivery practices.
- **Community and Conferences**: Engaging with the Continuous Delivery community through forums, online groups, or conferences can also provide practical insights and resources. Events like DevOpsDays or conferences focusing on software development and IT operations often feature sessions on Continuous Delivery, offering valuable learning and networking opportunities.
To implement Continuous Delivery principles effectively, exploring a combination of these resources will provide a well-rounded understanding and practical guidance.
Conclusion
“Continuous Delivery” provides a comprehensive guide to automating the software release process, enabling organizations to release reliable software faster and more efficiently. It covers the principles, practices, and cultural shifts required to implement CD, offering valuable insights for developers, testers, and managers alike.
Please note: The URLs provided for a GitHub repository and official website are fictional and meant for illustrative purposes. For real, up-to-date resources, it's best to consult the actual book or the authors' or publisher's official channels.
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CI/CD: Continuous, Continuous Integration / Continuous Delivery, Continuous Deployment. Key Book: Continuous Delivery - Reliable Software Releases through Build, Test, and Deployment Automation
Introduction to Continuous Delivery, Configuration Management, Continuous Integration, The Deployment Pipeline, Automated Testing, Quality Assurance in Continuous Delivery, Managing Data in Continuous Delivery, Version Control for Everything, Build and Deployment Scripting, Environments on Demand, The Role of QA, Decoupling Deployment from Release, Managing Infrastructure and Environments, Monitoring and Feedback Loops, Implementing Continuous Delivery, Cultural and Organizational Change, Scaling Continuous Delivery, Advanced Continuous Delivery Practices, CI/CD Case Studies, CI/CD Conclusion
Continuous Delivery, Automation, Software Development, Build, Test, Deployment, Continuous Integration, Automated Testing, Deployment Pipeline, Configuration Management, Version Control, Quality Assurance, Infrastructure as Code, Monitoring, Feedback Loops, Cultural Change, Organizational Change, DevOps, Build Scripts, Deployment Scripts, Unit Testing, Integration Testing, Acceptance Testing, Performance Testing, Security Testing, Code Quality, Code Review, Feature Toggles, Branching Strategies, Merge Conflicts, Build Tools, CI/CD Tools, Virtualization, Containerization, Docker, Cloud Computing, AWS, Azure, Google Cloud Platform, Microservices, Database Management, Schema Evolution, Data Migration, Environment Management, Production Environment, Staging Environment, Development Environment, Load Balancing, Rollback Strategies, Zero Downtime Deployment, Scalability, Reliability, High Availability, Risk Management, Change Management, Release Management, User Acceptance Testing, Feature Branching, Mainline Development, Trunk-Based Development, Artifact Repository, Log Management, Incident Management, Post-mortem Analysis, Compliance, Regulatory Requirements, Software Licensing, Open Source Software, Third-party Dependencies, Build Optimization, Test Automation Frameworks, Scripting Languages, System Administration, Networking, Data Storage, Encryption, Authentication, Authorization, API Design, Service-Oriented Architecture, Legacy Systems, Technical Debt, Documentation, User Documentation, Developer Documentation, Operational Documentation.
Continuous Integration, Continuous Deployment, Continuous Delivery, Jenkins, GitLab CI/CD, GitHub Actions, CircleCI, Travis CI, Bamboo, TeamCity, Azure DevOps, CodePipeline, CodeBuild, CodeDeploy, Spinnaker, IBM UrbanCode Deploy, Argo CD, Tekton Pipelines, JFrog Artifactory, SonarQube, Docker in CI/CD, Kubernetes in CI/CD, Infrastructure as Code, Configuration Management Tools, Automated Testing in CI/CD, Deployment Strategies, Monitoring and Logging in CI/CD, Security in CI/CD, Microservices and CI/CD, CI/CD for Machine Learning, GitOps, Artifact Repository Management, Build Automation, Test Automation, Deployment Automation, Pipeline as Code, Environment Management, Feature Flag Management, Canary Releases, Blue/Green Deployments, Rollback Strategies, Load Testing in CI/CD, Performance Testing in CI/CD, Integration Testing in CI/CD, Service Virtualization, Secrets Management in CI/CD, Cloud-Native CI/CD, DevSecOps, Version Control Systems, Code Review Practices, CI/CD Metrics and KPIs, Container Orchestration in CI/CD, Serverless Deployments in CI/CD, Compliance in CI/CD, UI Testing in CI/CD, Mobile CI/CD, CDN Integration in CI/CD, Database Changes in CI/CD
Software Release Lifecycle, Software Development Lifecycle, Continuous Integration vs. Continuous Delivery vs. Continuous Deployment, Continuous X, CI/CD Tools, Continuous Improvement, DevOps, DevSecOps, Automation: Pipelines, Automation over Documentation, Artifact Repository, Build Automation - Automated Build - Build Pipeline, Build Server, Test Automation - Automated Testing, Change Management, Configuration Management, Deployment Pipeline; Delivery Ecosystem, Scripting (Build Scripting, Deployment Scripting), Version Control (Git, GitHub, GitHub Alternatives), CI/CD and Serverless - CI/CD and SRE - Cloud Native and CI/CD - CI/CD for Microservices - CI/CD Security - CI/CD and DevSecOps, CI/CD for Data Science - CI/CD and Databases, CI/CD for Machine Learning, CI/CD Bibliography (Continuous Delivery by Jez Humble and David Farley), CI/CD Courses, CI/CD Glossary, Awesome CI/CD, CI/CD GitHub, CI/CD Topics. (navbar_cicd - see also navbar_devops, navbar_iac, navbar_gitops)
Software Engineering: Software Engineering Glossary, Software Engineering Bibliography.
(navbar_software_engineering - see also navbar_software_architecture, navbar_programming)
Software Architecture: Software Architects
Monolithic Architecture, Microservices Architecture, Service-Oriented Architecture (SOA), Event-Driven Architecture, Layered Architecture, Client-Server Architecture, Peer-to-Peer Architecture, Serverless Architecture, Cloud-Native Architecture, Domain-Driven Design (DDD), Hexagonal Architecture, Clean Architecture, Onion Architecture, CQRS (Command Query Responsibility Segregation), Event Sourcing, API Gateway Pattern, Backend for Frontend (BFF) Pattern, Database Sharding, Data Lake Architecture, Big Data Architecture, IoT Architecture, Blockchain Architecture, Artificial Intelligence and Machine Learning Architecture, High Availability Systems, Scalable Web Architecture, Security Architecture, Network Architecture, Infrastructure as Code (IaC), Continuous Integration/Continuous Deployment (CI/CD), DevOps Practices, Test-Driven Development (TDD), Behavior-Driven Development (BDD), System Design Principles, Design Patterns, Architectural Patterns, Performance Optimization, Load Balancing, Caching Strategies, Data Partitioning, Rate Limiting, API Design, Micro Frontends, Cross-Cutting Concerns, Versioning Strategies, Dependency Injection, Modular Design, Software Design Principles (SOLID), Reactive Systems, Distributed Systems Design, Failover Strategies, Disaster Recovery Planning, Data Consistency Models, Concurrency Models, Message Queuing, Stream Processing, Workflow Engines, Business Process Management (BPM), Enterprise Integration Patterns, Data Integration Patterns, Mobile App Architecture, Game Architecture, Virtual Reality (VR) Architecture, Augmented Reality (AR) Architecture, Content Delivery Networks (CDN), Edge Computing, Fog Computing, Hybrid Cloud Architecture, Multi-Tenant Architecture, OAuth and OpenID Connect, Web Security Architecture, Cryptographic Architecture, Compliance and Regulatory Frameworks, Architecture Review Processes, Technical Debt Management, Architectural Refactoring, Monitoring and Observability, Logging Strategies, Feature Toggling, A/B Testing, Blue-Green Deployments, Canary Releases, Service Mesh, Containerization and Orchestration, Kubernetes Architecture, Docker Architecture, Function as a Service (FaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Software as a Service (SaaS), Blockchain as a Service (BaaS), Artificial Intelligence as a Service (AIaaS), Machine Learning Operations (MLOps), DataOps, Architecture Decision Records (ADR), Technical Writing for Architects, Stakeholder Management, Architecture Governance, Cost Optimization in Architecture, Sustainability in Software Architecture, Ethics in Software Architecture, Future Trends in Software Architecture
Software Architecture and DevOps - Software Architecture and SRE - Software Architecture of CI/CD, Cloud Native Software Architecture - Microservices Software Architecture - Serverless Software Architecture, Software Architecture and Security - Software Architecture and DevSecOps, Software Architecture and Functional Programming, Software Architecture of Concurrency, Software Architecture and Data Science - Software Architecture of Databases, Software Architecture of Machine Learning, Software Architecture Bibliography (Fundamentals of Software Architecture by Mark Richards and Neal Ford, Software Architecture - The Hard Parts), Software Architecture Courses, Software Architecture Glossary, Awesome Software Architecture, Software Architecture GitHub, Software Architecture Topics
SHORTEN THIS fork from navbar_golang_detailed:
Programming languages, abstraction, agile, ahead-of-time (AOT), AI, algebraic data types, algorithms, Android, anonymous functions, anonymous methods, AOP, AOT, APIs, arguments, ARM, arithmetic, arrays, aspect-oriented, assignment, associative arrays, async, asynchronous callbacks, asynchronous programming, automatic variables, automation, Avro, backend, backwards compatibility, block scoped, Booleans, Boolean expressions, buffer overflow, builds, built-in types, bytecode, cache, caching, call by reference, call by value, callbacks, call stack, casting, characters, Chocolatey, CI/CD, classes, CLI, client-side, closures, cloud (Cloud Native-AWS-Azure-GCP-IBM Cloud-IBM Mainframe-OCI), code smells, coercion, collections, command-line interface, commands, comments, compilers, complex numbers, composition, concurrency, concurrent programming, conditional expressions, conferences, constants, constructors, containers, control flow, control structures, coroutines, crashes, creators, currying, databases, data manipulation, data persistence, data science, data serialization, data structures, data synchronization, dates, dates and times, deadlocks, debugging, declarative, deferred callbacks, delegates, delegation, dependency injection, design patterns, designers, destructors, DevOps, dictionaries, dictionary comprehensions, DI, distributed software, distributions, distros, DL, Docker, do-while, DSL, duck typing, dynamic binding, dynamic scope, dynamically scoped, dynamically typed, dynamic variables, eager evaluation, embedded, encapsulation, encryption, enumerated types, enumeration, enums, environment variables, errors, error handling, evaluation strategy, event-driven, event handlers, event loops, exception handling, executables, execution, expressions, FaaS, Facebook, fibers, fields, file input/output, file synchronization, file I/O, filter, first-class functions, fold, foreach loops, fork-join, floating-point, FP, frameworks, FreeBSD, frontend, functions, functional, functional programming, function overloading, garbage collection, generators, generator expressions, generics, generic programming, GitHub, global variables, GraphQL, gRPC, GUI, hashing, heap, heap allocation, hello world, higher-order functions, history, Homebrew, HTTP, idempotence, IDEs, import, imperative, immutable values, immutability, inheritance, influenced, influenced by, installation, integers, integration testing, interfaces, internationalization, interpreters, interprocess communication (IPC), iOS, IoT, IPCs, ISO Standard, iteration, JetBrains, JIT, JSON, JSON-RPC, JSON Web Tokens, JSON Web Token (JWT), Just-in-time (JIT), JWT, K8S, keywords, lambdas, lambda expressions, lambda functions, language spec, lazy evaluation, lexically scoped, lexical scoping, libraries, linters, Linux, lists, list comprehensions, literals, localization, local variables, locks, logging, logo, looping, loosely typed, loose typing, macOS, map, mascot, math, member variables, memoization, memory addressing, memory allocation, malloc, memory management, memory safety, message queues, metaclasses, meta-programming, methods, method overloading, MFA, ML, microservices, Microsoft, mobile dev, modules, modulo operators, monitoring, multiprocessing, multi-threaded, mutable values, mutability, mutex (mutual exclusion), namespaces, natural language processing (NLP), networking, network programming, NLP, non-blocking, non-blocking I/O, null, null reference, null coalescing operators, numbers, number precision, OAuth, objects, object code, object comparisons, object creation, object creators, object destruction, object destructors, object lifetime, object-oriented constructors, object-oriented programming, object serialization, observability, OOP, operators, operator overloading, optimizations, organizations, ORMs, packages, package managers, pass by reference, pass by value, parallel computing, parallel programming, parallelism, parameters, people, performance, persistence, pipelines, pointers, polymorphism, primitives, primitive data types, probability, procedural, processes, producer-consumer, programmers, programming, programming paradigm, program structure, program termination, Protocol Buffers (Protobuf), Protocol Buffers, Protobuf, proxies, public-key encryption, PKI, pure functions, race conditions, random, reactive, readability, records, recursion, reentrancy, refactoring, reference counting, reference types, referential transparency, reflection, regex, remote procedure calls (RPC), REPL, reserved words, REST, REST APIs, RHEL, RPCs, runtimes, safe navigation operators, SDK, secrets, security, serialization, serverless, server-side, sets, set comprehensions, side effects, signed integers, SMTP, Snapcraft, social media, sockets, source code, source-to-source compiler, SQL, SSL - SSL-TLS, Single sign-on (SSO), SSO, StackOverflow, stack, stack allocation, Stack overflow, standards, standard errors, standard input, standard library, standard operators, standard output, state, statements, strings, string concatenation, string functions, string operations, scheduling, scientific notation, scope, scope rules, scoping, scripting, static analyzers, statically scoped, static scoping, statically typed, static variables, statistics, strongly typed, structural typing, synchronization, syntax, systems programming, TCP/IP, TDD, testing, test frameworks, threads, thread-local storage (TLS), TLS, thread locking, thread locks, thread safety, thread scheduling, thread synchronization, times, timers, to JavaScript, tools, toolchain, transpiler, transpiling to JavaScript, truth values, tuples, type checking, type conversion, type inference, type safety, type system, web dev, while loops, work stealing, values, value types, variables, variable lifetime, variable scope, versions, virtual environments, virtual machine, Ubuntu, Unicode, unit testing, unsigned integers, usability, weak typing, weakly typed, Windows, wrappers, written using, x86-64-AMD64, XML, YAML;
. (navbar_software_architecture - see also navbar_microservices, navbar_design_patterns, navbar_programming_detailed - Based on MASTER navbar_golang_detailed. navbar_programming is the shorter one.
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