Is the Cloud Monk retired or in retreat?

Since I don’t answer any emails, phone calls, LinkedIn or any unsolicited contacts, is the Cloud Monk retired or in retreat?

Return to Retreat, Retreating or Focus

Having worked in IT since 1982, Ayurveda since 1997, Cloud Monk is temporarily in retreat / retired from both IT and Ayurveda, but never retired or retreating from the Buddha Dharma.

Though retired from consulting, he is busy for all of 2020 soaking in 1500 hours of JavaKotlinAndroid books and Udemy – 1) – Pluralsight classes with a particular focus on Cloud Native Containerized Microservices using the Spring Framework 2) on Pivotal Web Services (PWS), AWS and Azure.

In 2019, he was focused on React, Redux, JavaScript-Node.js web apps in a ☁️ Cloud DevOps via Docker and Kubernetes on Azure Kubernetes Service (AKS).

He plans to integrate 2019’s frontend web client coding studies with 2020’s backend microservices coding studies in his future 2021 work doing consulting, training and writing.

1) The best Spring Framework classes come from John Thompson – the Spring Framework Guru
2) Especially Spring Boot, Spring Security and Spring Cloud

https://CloudMonk.io/doku.php?id=retired

AWS Certifications

AWS currently offers eleven certifications: a foundational certification, three associate-level certifications, two professional-level certifications, and five specialty certifications.

  • AWS Certified Cloud Practitioner
  • AWS Certified Developer – Associate
  • AWS Certified SysOps Administrator – Associate
  • AWS Certified Solutions Architect – Associate
  • AWS Certified DevOps Engineer – Professional
  • AWS Certified Solutions Architect – Professional
  • AWS Certified Big Data – Specialty
  • AWS Certified Advanced Networking – Specialty
  • AWS Certified Security – Specialty
  • AWS Certified Alexa Skill Builder – Specialty
  • AWS Certified Machine Learning – Specialty

Fair Use Source: https://CloudMonk.io/doku.php?id=amazon_aws_certifications

AWS Big Data Course Path

Cloud Monk completed this Course Path which is part of the AWS Certifications.

Beginner: In this section you get a survey of the services and capabilities of those services on AWS that are specific to big data. You’ll also start learning about one of the AWS services, Athena.

  • Serverless Analytics on AWS by Kim Schmidt – Intermediate – 2h 40m·- Aug 19, 2019

Intermediate: In this section you will learn about the different databases and storage options that you can implement on AWS that are suited to big data jobs.

  • Implementing Amazon S3 Storage on AWS by Reza Salehi – Intermediate, 3h 25m – Feb 22, 2019
  • AWS DynamoDB Deep Dive by Ivan Mushketyk – Intermediate – 6h 8m – June 26, 2019
  • Building Your First Amazon Redshift Data Warehouse by Russ Thomas – Intermediate – 2h 40m – Mar 8, 2018

Advanced: In this section you will learn about the services that aid in processing your streams of big data on AWS.

  • Developing Stream Processing Applications with AWS Kinesis by Ivan Mushketyk – Intermediate – 3h 32m – Feb 28, 2018
  • Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS by Jordan Yankovich – Intermediate – 1h 46m – Dec 9, 2019
  • Handling and Analyzing Data with AWS Elastic MapReduce – Andru Estes – Intermediate – 2h 19m – Aug 21, 2019
  • AWS Big Data in Production – Matthew Alexander – Advanced – 1h 27m – June 25, 2019

Source: https://CloudMonk.io/doku.php?id=aws_big_data_course_path

Big Data on Amazon AWS: The Big Picture

Cloud Monk completed this course which is part of the AWS Big Data Course Path.

This course is part of:

In this course, you’ll gain an overview of Amazon’s most important big data services, then drill down to cover each one. You’ll learn the capabilities of each service and even see some demos to make everything concrete.

  • Big Data on AWS: The Big Picture

Google GCP Big Data

Google GCP Big Data and Data Science: Processing big data jobs is a common use of cloud resources mainly because of the sheer computing power needed. Google has created several services that enable you to use big data effectively for your projects. This topic will explain the basics of big data on the Google Cloud Platform.

Amazon AWS Big Data

Amazon AWS Big Data and AWS Data Science: Processing big data jobs is a common use of cloud resources mainly because of the sheer computing power needed. Amazon has created several services that enable you to use big data effectively for your projects. This topic will explain the basics of big data on the AWS cloud platform.

  • Big Data on AWS: The Big Picture

Microsoft Azure Big Data

Microsoft Azure Big Data and Azure Data Science: Processing big data jobs is a common use of cloud resources mainly because of the sheer computing power needed. Microsoft has created several services that enable you to use big data effectively for your projects. This topic will explain the basics of big data on the Azure cloud platform.

Moving Your Database to Azure

“Northwind kept the bulk of its data in an on-premises data center, which hosted servers running both SQL Server and MongoDB. After the acquisition, Tailwind Traders worked with the Northwind team to move their data center to Azure. In this session, see how to migrate an on-premises MongoDB database to Azure Cosmos DB and SQL Server database to an Azure SQL Server. From there, walk through performing the migration and ensuring minimal downtime while you switch over to the cloud-hosted providers.”

Source: https://www.cloudmonk.io/doku.php?id=moving_your_database_to_azure

Evan You

Creator of @vuejs, previously @meteor & @google

https://github.com/yyx990803

“I am an independent software developer and the creator of the open source JavaScript framework Vue.js. Most of my work is open source and publicly available on GitHub.

I have an old blog which I no longer actively update – you probably want to follow me on Twitter and Medium for more up-to-date content.

If you happen to speak Chinese, my Chinese name is 尤雨溪. you can also find me on 微博 and 知乎.

Outside of programming and helping my wife take care of our two kids, I enjoy video games, karaoke, sushi and collecting watches.”

Fair Use Source: https://evanyou.me