Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Terraform Cookbook: Recipes for Codifying Infrastructure

Terraform Cookbook: Recipes for Codifying Infrastructure

Satirli, Kerim
Dolezal, Taylor

Paperback

General ComputersProgrammingSystem Administration

Publisher Price: $65.99

ISBN10: 1098108469
ISBN13: 9781098108465
Publisher: O'Reilly Media
Published: Nov 12 2024
Pages: 279
Weight: 1.00
Height: 0.59 Width: 7.00 Depth: 9.19
Language: English

Cloud services and SaaS software permeate every company's IT landscape, requiring a shift from manually provisioned services to a more structured approach, with codification at its core. Terraform provides tools to manage the lifecycle of your IT landscape across thousands of different cloud providers and SaaS platforms.

By defining your infrastructure as code you can safely and predictably make changes, modularize crucial building blocks, and create reusable service components. Each recipe in this cookbook addresses a specific problem and prefaces the solution with detailed insights into the how and why.

If you're just starting with Terraform and codified infrastructure, this book will help you create a solid foundation, on which you can build for years to come. If you're an advanced user, this guide will help you reaffirm your knowledge and take it to the next level, as you challenge yourself with more complex infrastructure, spread across multiple providers.

Recipes include:

  • Strategies on how to use Terraform with Version Control Systems
  • Validation and testing patterns for Terraform-managed infrastructure
  • Methods for importing pre-existing resources
  • Transforming infrastructure services into reusable components
  • Integrating Terraform with other HashiCorp tools
  • Deploying Containerized Workloads

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