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Podcasts
Creating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers.The book begins by showing you how to create your first manifest while helping you understand the available components. You’ll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You’ll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you’ll build on your initial manifest for a local application that’ll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you’ll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins.By the end of this book, you’ll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration.
Advancements made in cloud technology and automation tools have led to increased challenges in defining and managing your infrastructure or app environment as code on your chosen cloud platform, integrating security, managing microservices complexity, and so on. This book takes a learning-by-doing approach to teach you how to employ Terraform features to develop efficient cloud infrastructure using real-world scenarios and best practices.The book begins by introducing you to Terraform's architecture, both as a command-line tool and a programming language, HashiCorp Configuration Language (HCL). You’ll discover best practices, usage, and architectural patterns and implement Terraform on virtual machines (VMs), Docker/Kubernetes, serverless, and multiple cloud platforms such as AWS, Azure, and GCP. The chapters also show you how to industrialize your CI/CD pipeline by integrating Terraform with other popular technologies to build, provision, deploy, and manage cloud infrastructure. You’ll gain a clear understanding of security, monitoring, troubleshooting, and cost optimization and be able to apply the concepts you’ve learned when preparing for Terraform Associate certification exams.By the end of this book, you’ll be equipped to confidently build, automate, and deliver your infrastructure and CI/CD pipelines in cloud-based applications.
HashiCorp Configuration Language (HCL) has changed how we define and provision data center infrastructure with the launch of Terraform, a top-tier product for building Infrastructure as Code (IaC). Terraform Cookbook shows you how to leverage Terraform to manage complex infrastructure with ease.This new edition has been updated to include real-world examples for provisioning Azure, AWS and GCP infrastructure with Terraform. You'll delve into manual and automated testing with Terraform configurations, creating and managing a balanced, efficient, and reusable infrastructure with Terraform modules. You'll learn how to automate the deployment of Terraform configuration with continuous integration and continuous delivery (CI/CD).Besides that, several new chapters have been added that describe the use of Terraform for Docker and Kubernetes, examine advanced topics on GitOps practices, and explain how to test Terraform configurations using different tools to check code and security compliance. The final chapter covers troubleshooting common Terraform issues and provides solutions for frequently encountered errors.By the end of this book, you'll have developed the skills needed to get the most value out of Terraform and to effectively manage your infrastructure.