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Python for Infrastructure as Code: Using Python with Terraform, Ansible, and Pulumi

by Greyson Chesterfield
Save 11% Save 11%
Current price ₹1,692.00
Original price ₹1,893.00
Original price ₹1,893.00
Original price ₹1,893.00
(-11%)
₹1,692.00
Current price ₹1,692.00

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Book cover type: Paperback
  • ISBN13: 9798291173787
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 182
  • Original Price: GBP 14.96
  • Language: English
  • Edition: N/A
  • Item Weight: 250 grams
  • BISAC Subject(s): Languages / Python

Unlock the full potential of Python to automate, orchestrate, and manage modern cloud infrastructure. Python for Infrastructure as Code is your practical guide to building scalable, reliable, and secure environments using the world's most popular programming language alongside essential IaC tools like Terraform, Ansible, and Pulumi.

In today's cloud-driven world, Infrastructure as Code (IaC) is no longer optional-it's a necessity. This book empowers DevOps engineers, cloud architects, and Python developers to master IaC workflows, automate complex deployments, and achieve full-stack infrastructure management with confidence.

Inside, you'll learn how to:

  • Leverage Python to extend and integrate Terraform for cloud provisioning across AWS, Azure, and Google Cloud.
  • Build robust Ansible automation playbooks with Python modules for configuration management and system administration.
  • Harness Pulumi's Python SDK to define infrastructure using familiar Python code-bridging development and operations.
  • Develop reusable Python utilities, testing pipelines, and dynamic configurations for repeatable, reliable deployments.
  • Apply best practices for security, scalability, and maintainability in infrastructure automation projects.
  • Master real-world use cases including CI/CD pipelines, cloud-native infrastructure, multi-cloud strategies, and disaster recovery automation.

Whether you're modernizing legacy infrastructure or building cutting-edge cloud-native platforms, this book equips you with hands-on examples, code patterns, and practical insights to turn Python into a powerful DevOps tool.

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