The DevOps Toolkit: Catalog, Patterns, And Blueprints
The DevOps Toolkit: Catalog, Patterns, And Blueprints
About the Book
Unlike my other books where I typically dive into a single tool or a single process, this time, I chose a different approach. Instead of going to great lengths trying to help someone become proficient in one thing, this time, I am trying to give you a quick introduction into many different tools and processes. We will skip the potentially lengthy discussions and in-depth exercises. What I want, this time, is to help you make decisions. Which tool works the best for a given task? What should we explore in more depth, and what is a waste of time? The goal is not to learn everything about a tool in detail but rather to dive into many concepts and a plethora of tools right away. The aim is to get you up-to-speed fast while producing useful "real world" results. Think of each chapter as a crash-course into something with the outcome that you can use right away.
I will assume that you don't have time to read hundreds of pages to learn something that you are not even sure is useful. Instead, I will guess that you got up to one hour to read a summary, and then decide if a tool is worthwhile a more significant investment.
This is a catalog of the tools, and the processes I believe are useful in this day and age. I will try to transfer what I think works well and what might have been the right choice in the past but is not optimal anymore.
Nevertheless, even if the scope of this book is different than others, some things are still the same. This is not a book with lots of theory. Sure, there will be some text you might need to read, but most of the content consists of hands-on exercises. I always believed that the best way to learn something is through practice, and I am not giving up on that. This is a book full of real-world hands-on examples, and each chapter will let you dive into a different tool or a process. At the end of each, you will be able to say, "now I know what this is about, and now I can make a decision whether it is a worthwhile investment."
Think of this book as a catalog, combined with patterns and blueprints.
About the Authors
Table of Contents
-
Introduction
- I Need Your Help
- Who Are We?
- About The Requirements
- Off We Go
-
Infrastructure as Code (IaC)
- Going Back In Time
- Back To Present
- Using Terraform To Manage Infrastructure As Code (IaC)
- What Are We Going To Do?
-
Creating And Managing Google Kubernetes Engine (GKE) Clusters With Terraform
- Preparing For The Exercises
- Exploring Terraform Variables
- Creating The Credentials
- Defining The Provider
- Storing The State In A Remote Backend
- Creating The Control Plane
- Exploring Terraform Outputs
- Creating Worker Nodes
- Upgrading The Cluster
- Reorganizing The Definitions
- Destroying The Resources
-
Creating And Managing AWS Elastic Kubernetes Service (EKS) Clusters With Terraform
- Preparing For The Exercises
- Exploring Terraform Variables
- Creating The Credentials
- Storing The State In A Remote Backend
- Creating The Control Plane
- Exploring Terraform Outputs
- Creating Worker Nodes
- Upgrading The Cluster
- Reorganizing The Definitions
- Destroying The Resources
-
Creating And Managing Azure Kubernetes Service (AKS) Clusters With Terraform
- Preparing For The Exercises
- Exploring Terraform Variables
- Creating The Credentials
- Storing The State In A Remote Backend
- Creating The Control Plane
- Exploring Terraform Outputs
- Creating Worker Nodes
- Upgrading The Cluster
- Dealing With A Bug That Prevents Upgrade Of Node Pools
- Reorganizing The Definitions
- Destroying The Resources
- There Is More About Infrastructure as Code (IaC)
- Packaging, Deploying, And Managing Applications
-
Using Helm As A Package Manager For Kubernetes
- Defining A Scenario
- Preparing For The Exercises
- Creating Helm Charts
- Adding Application Dependencies
- Deploying Applications To Production
- Deploying Applications To Development And Preview Environments
- Deploying Applications To Permanent Non-Production Environments
- Packaging And Deploying Releases
- Rolling Back Releases
- What Did We Do Wrong?
- Destroying The Resources
- There Is More About Packaging, Deploying, And Managing Applications
-
Setting Up A Local Development Environment
- Which Operating System Is The Best For Laptops?
- Installing Windows Subsystem For Linux (WSL)
- Choosing A Shell
- A Short Intermezzo
- Choosing An IDE And A Terminal
- Using Oh My Zsh To Configure Z Shell
- Going For A Test Drive With Oh My Zsh
- What Should We Do Next?
- There Is More
- Exploring Serverless Computing
-
Using Managed Functions As A Service (FaaS)
- Deploying Google Cloud Functions (GCF)
- Deploying Azure Functions (AF)
- Deploying AWS Lambda
- To FaaS Or NOT To FaaS?
- Choosing The Best Managed FaaS Provider
- Personal Thoughts About Managed FaaS
-
Using Managed Containers As A Service (CaaS)
- Discussing The “Real” Expectations
- Deploying Applications To Google Cloud Run
- Deploying Applications To Amazon Elastic Container Service (ECS) With Fargate
- Deploying Applications To Azure Container Instances
- To CaaS Or NOT To CaaS?
- Personal Thoughts About Managed CaaS
-
Using Self-Managed Containers As A Service (CaaS)
- Using Knative To Deploy And Manage Serverless Workloads
- Self-Managed Vs. Managed CaaS
- There Is More About Serverless
-
Using Centralized Logging
- About Vadim
- Why Not Using The ELK Stack?
- Using Loki To Store And Query Logs
- Destroying The Resources
-
Deploying Applications Using GitOps Principles
- Discussing Deployments And Environments
- Off We Go
-
Applying GitOps Principles Using Argo CD
- Installing And Configuring Argo CD
- Deploying An Application With Argo CD
- Defining Whole Environments
- Creating An Environment As An Application Of Applications
- Updating Applications Through GitOps Principles
- Destroying The Resources
- There Is More About GitOps
- Applying Progressive Delivery
-
Using Argo Rollouts To Deploy Applications
- Installing And Configuring Argo Rollouts
- Exploring Argo Rollouts Definitions
- Deploying The First Release
- Deploying New Releases Using The Canary Strategy
- Rolling Back New Releases
- Exploring Prometheus Metrics And Writing Rollout Queries
- Exploring Automated Analysis
- Deploying Releases With Fully Automated Steps
- What Happens Now?
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