This book looks at how to use Terraform features to develop efficient cloud infrastructure. Mark Tinderholt begins by introducing Terraform's architecture, both as a command-line tool and a programming language, HashiCorp Configuration Language (HCL). Later chapters look at best practices, usage, and architectural patterns and how to implement Terraform on virtual machines (VMs), Docker/Kubernetes, Serverless, and multiple cloud platforms such as AWS, Azure, and GCP.
Author: Mark Tinderholt Publisher: Packt Publishing Date: July 2024 Pages: 494 ISBN: 978-1835086018 Print: 1835086012 Kindle: B0CZKFZ6NK Audience: Terraform developers Level: Introductory/Intermediate Category: Cloud Computing
Topics include:
- Build comprehensive end-to-end solutions with Terraform using VMs, Kubernetes, and Serverless
- Integrate Terraform with other HashiCorp products and common tools such as Packer, Docker, Kubernetes, and Helm
- Streamline your operations using Gitflow powered by GitHub Actions CI/CD pipelines
- Purchase of the print or Kindle book includes a free PDF eBook
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Learn Enough Python to Be Dangerous (Pearson)
Author: Michael Hartl Publisher: Addison-Wesley Date: June 2023 Pages: 448 ISBN: 978-0138050955 Print: 0138050953 Kindle: B0C4VCSD1G Audience: Python Rating: 2 Reviewer: Ian Elliot Learning Python is a great idea but "enough to be dangerous"?
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Administering Relational Databases on Microsoft Azure
Author: Prashanth Jayaram et al Publisher: Independent Pages: 622 ISBN: 979-8706128029 Print: B08Y4LBTP4 Kindle: B08XZQJHMK Audience: Azure DBAs Rating: 2 or 4 (see review for details) Reviewer: Ian Stirk
This book aims to help you pass the Azure Relational Database exam DP-300, how does it fare?
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