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Python and Terraform Infrastructure as code, standards and practices

Python and Terraform Infrastructure as code, standards and practices
Author:
Publisher: jideon francisco marques
Total Pages: 448
Release: 2024-02-23
Genre: Computers
ISBN:
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How this book is organized: A roadmap I organized this book into three sections with 13 chapters. Part 1 introduces IaC and how you, as an individual, write it. • Chapter 1 defines IaC and its benefits and principles. The chapter explains that the book has examples in Python, run by HashiCorp Terraform, and deployed to Google Cloud Platform (GCP). I also discuss the tools and use cases you’ll encounter in your IaC journey. • Chapter 2 dives into the principle of immutability and how you can migrate existing infrastructure resources to IaC. It also covers the practices of writing clean IaC. • Chapter 3 offers a few patterns for dividing and grouping infrastructure resources into modules. Each pattern includes an example and a list of use cases. • Chapter 4 covers how to manage dependencies among infrastructure resources and modules and decouple them with dependency injection and some common patterns. Part 2 describes how to write and collaborate on IaC as a team. • Chapter 5 organizes the practices and considerations for expressing IaC in different repository structures and sharing it across your team. • Chapter 6 provides an infrastructure testing strategy. It describes each type of test and how to write them for IaC. • Chapter 7 applies continuous delivery to IaC. It covers a high-level view of branching models and how your team can use them to change infrastructure. • Chapter 8 provides techniques to build secure and compliant IaC, including testing and tagging. Part 3 covers how to manage IaC across your company. • Chapter 9 applies immutability to infrastructure changes, including an example for blue-green deployments. • Chapter 10 refactors a large body of IaC to improve its maintainability and mitigate the blast radius of failed changes to one codebase. • Chapter 11 describes reverting IaC and rolling forward changes to the system. • Chapter 12 addresses the use of IaC to manage cloud computing costs. It includes an example for cost estimation of IaC. • Chapter 13 completes the book with practices to manage and update IaC tools. You will find that many concepts build on each other throughout the book, and it may help to read the chapters in order if you have not previously practiced IaC. Otherwise, you can choose the sections that best apply to the challenges you face in your IaC practice.

Infrastructure as Code, Patterns and Practices

Infrastructure as Code, Patterns and Practices
Author: Rosemary Wang
Publisher: Simon and Schuster
Total Pages: 398
Release: 2022-09-20
Genre: Computers
ISBN: 1638351112
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Use Infrastructure as Code (IaC) to automate, test, and streamline infrastructure for business-critical systems. In Infrastructure as Code, Patterns and Practices you will learn how to: Optimize infrastructure for modularity and isolate dependencies Test infrastructure configuration Mitigate, troubleshoot, and isolate failed infrastructure changes Collaborate across teams on infrastructure development Update infrastructure with minimal downtime using blue-green deployments Scale infrastructure systems supporting multiple business units Use patterns for provisioning tools, configuration management, and image building Deliver secure infrastructure configuration to production Infrastructure as Code, Patterns and Practices teaches you to automate infrastructure by applying changes in a codified manner. You’ll learn how to create, test, and deploy infrastructure components in a way that’s easy to scale and share across an entire organization. The book is full of flexible automation techniques that work whether you’re managing your personal projects or making live network changes across a large enterprise. A system administrator or infrastructure engineer will learn essential software development practices for managing IaC, while developers will benefit from in-depth coverage of assembling infrastructure as part of DevOps culture. While the patterns and techniques are tool agnostic, you’ll appreciate the easy-to-follow examples in Python and Terraform. About the technology Infrastructure as Code is a set of practices and processes for provisioning and maintaining infrastructure using scripts, configuration, or programming languages. With IaC in place, it’s easy to test components, implement features, and scale with minimal downtime. Best of all, since IaC follows good development practices, you can make system-wide changes with just a few code commits! About the book Infrastructure as Code, Patterns and Practices teaches flexible techniques for building resilient, scalable infrastructure, including structuring and sharing modules, migrating legacy systems, and more. Learn to build networks, load balancers, and firewalls using Python and Terraform, and confidently update infrastructure while your software is running. You’ll appreciate the expert advice on team collaboration strategies to avoid instability, improve security, and manage costs. What's inside Optimize infrastructure for modularity and isolate dependencies Mitigate, troubleshoot, and isolate failed infrastructure changes Update infrastructure with minimal downtime using blue-green deployments Use patterns for provisioning tools, configuration management, and image building About the reader For infrastructure or software engineers familiar with Python, provisioning tools, and public cloud providers. About the author Rosemary Wang is an educator, contributor, writer, and speaker. She has worked on many infrastructure as code projects, and open source tools such as Terraform, Vault, and Kubernetes. Table of Contents PART 1 FIRST STEPS 1 Introducing infrastructure as code 2 Writing infrastructure as code 3 Patterns for infrastructure modules 4 Patterns for infrastructure dependencies PART 2 SCALING WITH YOUR TEAM 5 Structuring and sharing modules 6 Testing 7 Continuous delivery and branching models 8 Security and compliance PART 3 MANAGING PRODUCTION COMPLEXITY 9 Making changes 10 Refactoring 11 Fixing failures 12 Cost of cloud computing 13 Managing tools

Python And Terraform

Python And Terraform
Author: Jideon F Marques
Publisher: Clube de Autores
Total Pages: 0
Release: 2024-02-23
Genre: Computers
ISBN:
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How this book is organized: A roadmap I organized this book into three sections with 13 chapters. Part 1 introduces IaC and how you, as an individual, write it. •Chapter 1 defines IaC and its benefits and principles. The chapter explains that the book has examples in Python, run by HashiCorp Terraform, and deployed to Google Cloud Platform (GCP). I also discuss the tools and use cases you’ll encounter in your IaC journey. •Chapter 2 dives into the principle of immutability and how you can migrate existing infrastructure resources to IaC. It also covers the practices of writing clean IaC. •Chapter 3 offers a few patterns for dividing and grouping infrastructure resources into modules. Each pattern includes an example and a list of use cases. •Chapter 4 covers how to manage dependencies among infrastructure resources and modules and decouple them with dependency injection and some common patterns. Part 2 describes how to write and collaborate on IaC as a team. •Chapter 5 organizes the practices and considerations for expressing IaC in different repository structures and sharing it across your team. •Chapter 6 provides an infrastructure testing strategy. It describes each type of test and how to write them for IaC. •Chapter 7 applies continuous delivery to IaC. It covers a high-level view of branching models and how your team can use them to change infrastructure. •Chapter 8 provides techniques to build secure and compliant IaC, including testing and tagging. Part 3 covers how to manage IaC across your company. •Chapter 9 applies immutability to infrastructure changes, including an example for blue-green deployments. •Chapter 10 refactors a large body of IaC to improve its maintainability and mitigate the blast radius of failed changes to one codebase. •Chapter 11 describes reverting IaC and rolling forward changes to the system. •Chapter 12 addresses the use of IaC to manage cloud computing costs. It includes an example for cost estimation of IaC. •Chapter 13 completes the book with practices to manage and update IaC tools. You will find that many concepts build on each other throughout the book, and it may help to read the chapters in order if you have not previously practiced IaC. Otherwise, you can choose the sections that best apply to the challenges you face in your IaC practice.

Terraform for Developers

Terraform for Developers
Author: Kimiko Lee
Publisher: GitforGits
Total Pages: 277
Release: 2023-07-18
Genre: Computers
ISBN: 8196288336
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"Terraform for Developers" provides a comprehensive guide to mastering infrastructure as code with Terraform, intended for both beginners and experienced practitioners. The book starts by introducing foundational Terraform concepts like its architecture, setup on various cloud platforms, and the syntax of its configuration language HCL. This grounds the reader in core skills needed to author infrastructure code. It then explores the full lifecycle of a Terraform project from state management, provisioning, networking, troubleshooting errors, and testing practices. Each phase is explained through practical examples relevant to real-world usage. Advanced skills like performance optimization, CI/CD integration, and modules are covered to take the reader from basic to expert. The book finishes with sophisticated use cases like Kubernetes infrastructure automation and secrets management with HashiCorp Vault with elementary level demonstrations. The end result is a 360-degree education in Terraform - from installation to advanced usage across public clouds. Readers gain both theoretical foundations and hands-on skills transferred through practical examples. The book takes a holistic approach that equips practitioners to leverage Terraform in production environments. [Note: Readers are advised not to misguide this book as a mastering book but does covers every possible task Terraform can perform.] Key Learnings Comprehensive introduction to Terraform's architecture, syntax, and semantics. Practical examples to understand Infrastructure as Code (IaC) concept. Detailed guidance on setting up Terraform in diverse environments. Exploring Terraform's lifecycle, from initialization to resource destruction. Insightful exploration of error management and troubleshooting techniques. In-depth discussion on network management using Terraform for real-world scenarios. Advanced topics coverage like Kubernetes resources and dynamic secrets. Detailed explanation of Terraform's integration with CI/CD pipelines. Extensive study of Terraform testing, including unit, integration, and compliance tests. Knowledge on module creation and version control for efficient code reuse. Table of Content Introduction to Terraform and Infrastructure as Code (IaC) Getting Started with Terraform Essentials of Terraform Configuration Language (HCL) Terraform Modules and Reusable Infrastructure Terraform State Management Provisioners and Provisioning Resources Working with Secrets Administering Networks with Terraform Advanced Topics in Terraform Administering Terraform As Expert Audience This book is designed for software professionals, system administrators, DevOps engineers, and cloud architects who aim to master Infrastructure as Code (IaC) using Terraform. Basic knowledge of cloud computing and some experience with coding will aid in comprehending the book's content.

Terraform: Up and Running

Terraform: Up and Running
Author: Yevgeniy Brikman
Publisher: "O'Reilly Media, Inc."
Total Pages: 205
Release: 2017-03-13
Genre: Computers
ISBN: 1491977051
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Terraform has emerged as a key player in the DevOps world for defining, launching, and managing infrastructure as code (IAC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, and Azure. This hands-on book is the fastest way to get up and running with Terraform. Gruntwork co-founder Yevgeniy (Jim) Brikman walks you through dozens of code examples that demonstrate how to use Terraform’s simple, declarative programming language to deploy and manage infrastructure with just a few commands. Whether you’re a novice developer, aspiring DevOps engineer, or veteran sysadmin, this book will take you from Terraform basics to running a full tech stack capable of supporting a massive amount of traffic and a large team of developers. Compare Terraform to other IAC tools, such as Chef, Puppet, Ansible, and Salt Stack Use Terraform to deploy server clusters, load balancers, and databases Learn how Terraform manages the state of your infrastructure and how it impacts file layout, isolation, and locking Create reusable infrastructure with Terraform modules Try out advanced Terraform syntax to implement loops, if-statements, and zero-downtime deployment Use Terraform as a team, including best practices for writing, testing, and versioning Terraform code

Terraform: Up & Running

Terraform: Up & Running
Author: Yevgeniy Brikman
Publisher: O'Reilly Media
Total Pages: 365
Release: 2019-09-06
Genre:
ISBN: 1492046876
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Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running. Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform’s simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers. Explore changes from Terraform 0.9 through 0.12, including backends, workspaces, and first-class expressions Learn how to write production-grade Terraform modules Dive into manual and automated testing for Terraform code Compare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt Stack Deploy server clusters, load balancers, and databases Use Terraform to manage the state of your infrastructure Create reusable infrastructure with Terraform modules Use advanced Terraform syntax to achieve zero-downtime deployment

Reverse Engineering with Terraform

Reverse Engineering with Terraform
Author: Sumit Bhatia
Publisher: Apress
Total Pages: 0
Release: 2024-02-22
Genre: Computers
ISBN:
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This book is a comprehensive guide for employing Terraform in infrastructure as code automation, and its application to infrastructure operations. Reverse Engineering with Terraform begins with an introduction to Terraform’s core functionalities, including state files, configuration files, and providers, followed by a deep dive into the tool. You’ll then learn how to pinpoint problems with Terraform automation and how reverse engineering can help you resolve them. Drilling down, authors Sumit Bhatia and Chetan Gabhane walk you through the various steps in reverse engineering with an eye towards more effective Terraform integration with preexisting and legacy IT infrastructure. Using a real-world reverse engineering example, they demonstrate how to import a preexisting resource into your infrastructure, which can help you develop an automatable and scalable method for Terrraform adoption. You’ll also learn how to create reusable, shareable components to streamline infrastructure code and foster collaboration within teams, and advanced techniques for using Terraform to optimize infrastructure provisioning, configuration, and management. Filled with real-world case studies, tips and tricks, and best practices, this book will leave you with a thorough understanding of the infrastructure as code paradigm, and how to leverage Terraform automation with legacy as well as modern IT infrastructure. What You Will Learn Understand Terraform and its infrastructure automation capabilities Explore how Terraform can be used with other platforms like AWS, Azure and VMware Master the basic concepts of reverse engineering for legacy infrastructure entities Enable Terraform in legacy IT environments through reverse engineering Who This Book Is For IT architects, admins, technical managers, and infrastructure solution experts. Minimal knowledge of Python programming is the only prerequisite.

Implementing DevSecOps Practices

Implementing DevSecOps Practices
Author: Vandana Verma Sehgal
Publisher: Packt Publishing Ltd
Total Pages: 258
Release: 2023-12-22
Genre: Computers
ISBN: 1803234431
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Get to grips with application security, secure coding, and DevSecOps practices to implement in your development pipeline Key Features Understand security posture management to maintain a resilient operational environment Master DevOps security and blend it with software engineering to create robust security protocols Adopt the left-shift approach to integrate early-stage security in DevSecOps Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDevSecOps is built on the idea that everyone is responsible for security, with the goal of safely distributing security decisions at speed and scale to those who hold the highest level of context. This practice of integrating security into every stage of the development process helps improve both the security and overall quality of the software. This book will help you get to grips with DevSecOps and show you how to implement it, starting with a brief introduction to DevOps, DevSecOps, and their underlying principles. After understanding the principles, you'll dig deeper into different topics concerning application security and secure coding before learning about the secure development lifecycle and how to perform threat modeling properly. You’ll also explore a range of tools available for these tasks, as well as best practices for developing secure code and embedding security and policy into your application. Finally, you'll look at automation and infrastructure security with a focus on continuous security testing, infrastructure as code (IaC), protecting DevOps tools, and learning about the software supply chain. By the end of this book, you’ll know how to apply application security, safe coding, and DevSecOps practices in your development pipeline to create robust security protocols.What you will learn Find out how DevSecOps unifies security and DevOps, bridging a significant cybersecurity gap Discover how CI/CD pipelines can incorporate security checks for automatic vulnerability detection Understand why threat modeling is indispensable for early vulnerability identification and action Explore chaos engineering tests to monitor how systems perform in chaotic security scenarios Find out how SAST pre-checks code and how DAST finds live-app vulnerabilities during runtime Perform real-time monitoring via observability and its criticality for security management Who this book is for This book is for DevSecOps engineers and application security engineers. Developers, pentesters, and information security analysts will also find plenty of useful information in this book. Prior knowledge of the software development process and programming logic is beneficial, but not required.

DevOps in Python

DevOps in Python
Author: Moshe Zadka
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN: 9781484290200
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Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding. You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments. You will: Understand operating system automation with Python Package Python applications Use Python as a DevOps console Review Cloud automation with Python.

Deep-Dive Terraform on Azure

Deep-Dive Terraform on Azure
Author: Ritesh Modi
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN: 9781484273296
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Get started with the foundations of Infrastructure as Code and learn how Terraform can automate the deployment and management of resources on Azure. This book covers all of the software engineering practices related to Terraform and Infrastructure as Code with Azure as a cloud provider. The book starts with an introduction to Infrastructure as Code and covers basic concepts, principles, and tools, followed by an overview of Azure and Terraform that shows you how Terraform can be used to provision and manage Azure resources. You will get started writing multiple Terraform scripts and explore its various concepts. Author Ritesh Modi takes a deep dive into Terraform and teaches you about deployment and multiple resource creation using loops. Writing a reusable script using modules is discussed as well as management and administration of secrets, sensitive data, and passwords within Terraform code. You will learn to store and version Terraform scripts and know how Terraform is used in Azure DevOps pipelines. And you will write unit and integration tests for Terraform and learn its best practices. The book also highlights and walks through the Terraform Azure Provider and shows you a simple way to create a new Terraform provider. After reading this book, you will be able to write quality Terraform scripts that are secure by design, modular, and reusable in Azure. You will: Understand implementation within infrastructure and application deployments Provision resources in Azure using Terraform Use unit and integration testing Explore concepts such as local vs remote, importing state, workspaces, and backends .