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HCL

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May 13, 2024 Updated July 21, 2025 11 minute read

An Introduction to HCL (HashiCorp Configuration Language)

In the world of modern technology, particularly in cloud computing and operations, the ability to manage complex systems efficiently is paramount. Enter HCL, or HashiCorp Configuration Language. At its core, HCL is a configuration language created by HashiCorp, designed specifically to be both human-readable and machine-friendly. It serves as the foundation for a practice known as Infrastructure as Code (IaC), which involves managing and provisioning computer data centers through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools.

Think of HCL as a detailed set of blueprints for building and managing technology infrastructure. Instead of manually clicking through web interfaces to set up servers, databases, and networks, developers and operations professionals write code in HCL to define what they need. This code can then be versioned, reused, and shared, bringing the same discipline and efficiency of software development to the world of infrastructure management. This approach not only dramatically speeds up deployment but also introduces a level of consistency and error reduction that manual processes struggle to match.

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Reading list

We've selected 19 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in HCL.
Is widely considered a foundational text for learning Terraform and Infrastructure as Code (IaC). It provides a comprehensive introduction to HCL and its application in managing infrastructure across various cloud providers. It's an excellent resource for gaining a broad understanding and is often used as a primary reference for those starting with Terraform. The latest edition covers updates relevant to contemporary practices.
Is aimed at those looking to deepen their Terraform and HCL skills, particularly in a multi-cloud environment. It covers advanced topics such as state management, modules, CI/CD integration, and security best practices. It's a valuable resource for experienced practitioners and those aiming for a more comprehensive understanding of Terraform's capabilities.
While not solely focused on HCL, this book provides essential context for why HCL and IaC are crucial in modern IT. It covers the principles, patterns, and practices of managing infrastructure through code. is valuable for understanding the broader landscape in which HCL is used and complements the more tool-specific books on Terraform. It's highly relevant for anyone looking to solidify their understanding of IaC concepts.
This cookbook provides practical, real-world examples and recipes for using Terraform and HCL to manage infrastructure on various cloud platforms like Azure, AWS, and GCP. It's an excellent resource for deepening understanding through hands-on application and serves as a valuable reference tool for common tasks and patterns. It assumes some basic understanding of cloud concepts and DevOps practices.
Offers an in-depth look at Terraform and the OpenTofu fork, covering advanced concepts and best practices for IaC. It's suitable for experienced users looking to deepen their understanding of complex topics like testing, deployment, and continuous integration with Terraform and HCL.
Offers a focused introduction specifically on the HashiCorp Configuration Language (HCL). It delves into the syntax and structure of HCL, which is fundamental to understanding and writing Terraform code. It's particularly useful for beginners who want to grasp the language itself before diving deep into Terraform's functionalities. It also provides context on how HCL fits into the broader HashiCorp ecosystem.
Focuses on using Terraform for automation and orchestration across AWS and Azure. It provides practical guidance and examples for implementing IaC in a multi-cloud context. It's relevant for professionals working with or planning to work with these specific cloud providers and helps deepen understanding through practical application.
While not directly about HCL, this book provides essential context on the DevOps principles that drive the adoption of IaC tools like Terraform. Understanding the 'why' behind IaC enhances the understanding and application of HCL. It's a classic in the DevOps space and highly relevant for professionals.
Is tailored for those using or planning to use Terraform with Google Cloud Platform (GCP). It focuses on GCP-specific resources and configurations using HCL. It's a valuable resource for GCP practitioners looking to apply their HCL and Terraform knowledge in that specific cloud environment.
Specifically mentions Terraform as a tool for building AWS cloud architecture. It demonstrates how HCL is used in conjunction with AWS services, providing practical examples for solutions architects working in the AWS ecosystem.
Similar to the GCP-focused book, this resource provides a deep dive into using Terraform and HCL specifically for Azure deployments. It's ideal for Azure professionals who want to master automated delivery and deployment using IaC principles and Terraform. It's a good resource for deepening understanding within a specific cloud context.
This introductory book covers the basics of managing infrastructure with Terraform. It's a hands-on guide suitable for both developers and sysadmins looking to get started with IaC and HCL. It provides a good overview of core Terraform concepts and workflows.
Delves into the practices of Site Reliability Engineering (SRE) at Google, many of which are enabled by IaC and automation tools like those using HCL. It provides insights into building scalable and reliable systems, offering a higher-level perspective on the importance of codified infrastructure.
While centered on Kubernetes, this book is relevant as Terraform and HCL are often used to provision and manage Kubernetes clusters and related infrastructure. It provides context on the environments where HCL-based IaC is frequently applied.
Provides a comprehensive view of DevOps engineering practices. It covers various aspects of the DevOps lifecycle, including infrastructure automation, where HCL and Terraform play a significant role. It helps contextualize HCL within a broader engineering framework.
Presented as a novel, this book illustrates DevOps principles and their impact on IT organizations. It provides a relatable context for the challenges that IaC and tools like Terraform address. It's an accessible read that complements the technical understanding of HCL with a broader view of its organizational impact.
Focusing on the cultural and collaborative aspects of DevOps, this book highlights how effective tooling and automation, including IaC with HCL, support successful DevOps practices. It provides valuable insights for teams implementing or improving their use of tools like Terraform.
While superseded by the third edition, the second edition of this book is still a valuable resource for understanding the evolution of Terraform and HCL. It provides a solid foundation in core concepts and can be useful as additional reading for historical context or for those working with older versions of Terraform.
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