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{ "item_title" : "Python Programming for Site Reliability Engineers", "item_author" : [" John Bailey "], "item_description" : "Python Programming for Site Reliability Engineers is a practical, hands-on guide to building scalable, reliable automation with Python. Written specifically for SREs, DevOps engineers, and systems professionals, this book shows how to apply Python's concurrency, distributed frameworks, configuration management, and observability tooling to real-world production challenges.You'll learn how to: --Automate monitoring, health checks, and log analysis at scale.--Use Jinja2 and YAML to manage configurations reproducibly.--Harness threads, asyncio, and multiprocessing for concurrency and parallelism.--Build distributed workflows with Celery, Dask, and Ray.--Securely handle secrets, credentials, and sensitive configs.--Validate and safely roll out changes with canaries, retries, and chaos testing.--Leverage key Python libraries for networking, observability, and cloud automation.With finished examples, cheat sheets, tool recommendations, and curated further reading, this book is both a training manual and a field reference for reliability engineers working at any scale.Whether you're new to SRE practices or scaling existing systems, this guide will help you design automation pipelines that are fast, safe, and resilient.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/825/067/9798250679145_b.jpg", "price_data" : { "retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Python Programming for Site Reliability Engineers|John Bailey

Python Programming for Site Reliability Engineers

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Overview

Python Programming for Site Reliability Engineers is a practical, hands-on guide to building scalable, reliable automation with Python. Written specifically for SREs, DevOps engineers, and systems professionals, this book shows how to apply Python's concurrency, distributed frameworks, configuration management, and observability tooling to real-world production challenges.

You'll learn how to:

--Automate monitoring, health checks, and log analysis at scale.
--Use Jinja2 and YAML to manage configurations reproducibly.
--Harness threads, asyncio, and multiprocessing for concurrency and parallelism.
--Build distributed workflows with Celery, Dask, and Ray.
--Securely handle secrets, credentials, and sensitive configs.
--Validate and safely roll out changes with canaries, retries, and chaos testing.
--Leverage key Python libraries for networking, observability, and cloud automation.

With finished examples, cheat sheets, tool recommendations, and curated further reading, this book is both a training manual and a field reference for reliability engineers working at any scale.

Whether you're new to SRE practices or scaling existing systems, this guide will help you design automation pipelines that are fast, safe, and resilient.

This item is Non-Returnable

Details

  • ISBN-13: 9798250679145
  • ISBN-10: 9798250679145
  • Publisher: Independently Published
  • Publish Date: March 2026
  • Dimensions: 11 x 8.5 x 1.14 inches
  • Shipping Weight: 2.84 pounds
  • Page Count: 564

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