Python programming site reliability di bailey john (9 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. 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 printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. 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 printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…