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  • Book Overview & Buying Modern DevOps Practices
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Modern DevOps Practices

Modern DevOps Practices - Second Edition

By : Agarwal
5 (9)
Buy this Book
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Modern DevOps Practices

Modern DevOps Practices

5 (9)
By: Agarwal
Buy this Book

Overview of this book

DevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey. The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you’ll explore the core elements of cloud integration—AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery—GitHub actions, Jenkins, and Argo CD—to help you understand the essence of modern app delivery. Later, you’ll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you’ll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more. By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.
Table of Contents (24 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Download the example code files
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Conventions used
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Get in touch
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Share your thoughts
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Download a free PDF copy of this book
1
Part 1:Modern DevOps Fundamentals
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Part 1:Modern DevOps Fundamentals
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2
Chapter 1: The Modern Way of DevOps
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Chapter 1: The Modern Way of DevOps
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What is DevOps?
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Introduction to cloud computing
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Understanding modern cloud-native applications
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Modern DevOps versus traditional DevOps
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The need for containers
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Container architecture
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Containers and modern DevOps practices
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Migrating from virtual machines to containers
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Are we there yet?
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Summary
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Questions
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Answers
3
Chapter 2: Source Code Management with Git and GitOps
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Chapter 2: Source Code Management with Git and GitOps
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Technical requirements
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What is source code management?
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A crash course on Git
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What is GitOps?
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Why GitOps?
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The principles of GitOps
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Branching strategies and the GitOps workflow
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Git versus GitOps
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Summary
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Questions
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Answers
4
Chapter 3: Containerization with Docker
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Chapter 3: Containerization with Docker
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Technical requirements
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Installing Docker
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Introducing Docker storage drivers and volumes
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Running your first container
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Docker logging and logging drivers
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Docker monitoring with Prometheus
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Declarative container management with Docker Compose
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Summary
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Questions
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Answers
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Chapter 4: Creating and Managing Container Images
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Chapter 4: Creating and Managing Container Images
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Technical requirements
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Docker architecture
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Understanding Docker images
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Understanding Dockerfiles, components, and directives
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Building and managing Docker images
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Optimizing containers with distroless images
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Understanding Docker registries
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Summary
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Questions
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Answers
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Part 2:Container Orchestration and Serverless
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Part 2:Container Orchestration and Serverless
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Chapter 5: Container Orchestration with Kubernetes
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Chapter 5: Container Orchestration with Kubernetes
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Technical requirements
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What is Kubernetes, and why do I need it?
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Kubernetes architecture
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Installing Kubernetes (Minikube and KinD)
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Understanding Kubernetes pods
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Summary
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Questions
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Answers
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Chapter 6: Managing Advanced Kubernetes Resources
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Chapter 6: Managing Advanced Kubernetes Resources
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Technical requirements
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The need for advanced Kubernetes resources
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Kubernetes Deployments
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Kubernetes Services and Ingresses
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Horizontal Pod autoscaling
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Managing stateful applications
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Kubernetes command-line best practices, tips, and tricks
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Summary
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Questions
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Answers
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Chapter 7: Containers as a Service (CaaS) and Serverless Computing for Containers
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Chapter 7: Containers as a Service (CaaS) and Serverless Computing for Containers
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Technical requirements
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The need for serverless offerings
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Amazon ECS with EC2 and Fargate
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Other CaaS services
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Open source CaaS with Knative
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Summary
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Questions
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Answers
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Part 3:Managing Config and Infrastructure
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Part 3:Managing Config and Infrastructure
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Chapter 8: Infrastructure as Code (IaC) with Terraform
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Chapter 8: Infrastructure as Code (IaC) with Terraform
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Technical requirements
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Introduction to IaC
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Terraform providers
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Terraform variables
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Terraform workflow
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Terraform modules
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Managing Terraform state
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Terraform workspaces
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Terraform output, state, console, and graphs
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Summary
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Questions
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Answers
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Chapter 9: Configuration Management with Ansible
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Chapter 9: Configuration Management with Ansible
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Technical requirements
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Introduction to configuration management
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Setting up Ansible
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Ansible tasks and modules
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Introduction to Ansible playbooks
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Ansible playbooks in action
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Designing for reusability
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Summary
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Questions
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Answers
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Chapter 10: Immutable Infrastructure with Packer
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Chapter 10: Immutable Infrastructure with Packer
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Technical requirements
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Immutable infrastructure with HashiCorp’s Packer
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Creating the Apache and MySQL playbooks
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Building the Apache and MySQL images using Packer and Ansible provisioners
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Creating the required infrastructure with Terraform
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Summary
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Questions
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Answers
14
Part 4:Delivering Applications with GitOps
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Part 4:Delivering Applications with GitOps
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Chapter 11: Continuous Integration with GitHub Actions and Jenkins
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Chapter 11: Continuous Integration with GitHub Actions and Jenkins
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Technical requirements
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The importance of automation
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Introduction to the sample microservices-based blogging application – Blog App
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Building a CI pipeline with GitHub Actions
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Scalable Jenkins on Kubernetes with Kaniko
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Automating a build with triggers
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Building performance best practices
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Summary
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Questions
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Answers
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Chapter 12: Continuous Deployment/Delivery with Argo CD
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Chapter 12: Continuous Deployment/Delivery with Argo CD
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Technical requirements
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The importance of CD and automation
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CD models and tools
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The Blog App and its deployment configuration
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Continuous declarative IaC using an Environment repository
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Introduction to Argo CD
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Installing and setting up Argo CD
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Managing sensitive configurations and Secrets
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Deploying the sample Blog App
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Summary
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Questions
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Answers
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Chapter 13: Securing and Testing Your CI/CD Pipeline
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Chapter 13: Securing and Testing Your CI/CD Pipeline
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Technical requirements
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Securing and testing CI/CD pipelines
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Revisiting the Blog Application
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Container vulnerability scanning
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Managing secrets
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Testing your application within the CD pipeline
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Binary authorization
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Release gating with pull requests and deployment to production
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Merging code and deploying to prod
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Security and testing best practices for modern DevOps pipelines
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Summary
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Questions
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Answers
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Part 5:Operating Applications in Production
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Part 5:Operating Applications in Production
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Chapter 14: Understanding Key Performance Indicators (KPIs) for Your Production Service
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Chapter 14: Understanding Key Performance Indicators (KPIs) for Your Production Service
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Understanding the importance of reliability
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Understanding SLIs, SLOs, and SLAs
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Error budgets
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Disaster recovery, RTO, and RPO
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Running distributed applications in production
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Summary
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Questions
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Answers
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Chapter 15: Implementing Traffic Management, Security, and Observability with Istio
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Chapter 15: Implementing Traffic Management, Security, and Observability with Istio
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Technical requirements
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Revisiting the Blog App
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Introduction to service mesh
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Introduction to Istio
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Understanding the Istio architecture
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Installing Istio
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Using Istio ingress to allow traffic
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Securing your microservices using Istio
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Managing traffic with Istio
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Observing traffic and alerting with Istio
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Summary
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Questions
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Answers
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Index
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Index
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Why subscribe?
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Other Books You May Enjoy
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Other Books You May Enjoy
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Packt is searching for authors like you
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Share your thoughts
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Download a free PDF copy of this book
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Appendix: The Role of AI in DevOps
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Appendix: The Role of AI in DevOps
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What is AI?
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The role of AI in the DevOps infinity loop
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Summary

Questions

Answer the following questions to test your knowledge of this chapter:

  1. Cloud computing is more expensive than on-premises. (True/False)
  2. Cloud computing requires more Capital Expenditure (CapEx) than Operating Expenditure (OpEx). (True/False)
  3. Which of the following is true about cloud-native applications? (Choose three)

A. They typically follow the microservices architecture

B. They are typically monoliths

C. They use containers

D. They use dynamic orchestration

E. They use on-premises databases

  1. Containers need a hypervisor to run. (True/False)
  2. Which of the following statements regarding containers is not correct? (Choose one)

A. Containers are virtual machines within virtual machines

B. Containers are simple OS processes

C. Containers use cgroups to provide isolation

D. Containers use a container runtime

E. A container is an ephemeral workload

  1. All applications can be containerized. (True/False)
  2. Which of the following is a container runtime? (Choose two)

A. Docker

B. Kubernetes

C. Containerd

D. Docker Swarm

  1. What kind of applications should you choose to containerize first?

A. APIs

B. Databases

C. Mainframes

  1. Containers follow CI/CD principles out of the box. (True/False)
  2. Which of the following is an advantage of breaking your applications into multiple parts? (Choose four)

A. Fault isolation

B. Shorter release cycle time

C. Independent, fine-grained scaling

D. Application architecture simplicity

E. Simpler infrastructure

  1. While breaking an application into microservices, which aspect should you consider?

A. Breaking applications into as many tiny components as possible

B. Breaking applications into logical components

  1. What kind of application should you containerize first?

A. Stateless

B. Stateful

  1. Which of the following are examples of CaaS? (Choose three)

A. Azure Functions

B. Google Cloud Run

C. Amazon ECS

D. Azure ACS

E. Oracle Functions

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