6 книг

#ЛучшиеПрактики***Ops

Reliable Machine Learning: Applying SRE Principles to ML in Production

Cathy Chen, Нейл Ричард Мёрфи, Kranti Parisa, D. Sculley, Todd Underwood

(0)

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers...

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Chip Huyen

(2)

Who This Book Is For This book is for anyone who wants to leverage ML to solve real-world problems. ML in this book refers to both deep learning and classical algorithm...

Continuous Delivery: Reliable Software Releases Through Build, Test, and Deployment Automation

Джез Хамбл, Дэвид Фарли

4,4

(11)

Winner of the 2011 Jolt Excellence Award! Getting software released to users is often a painful, risky, and time-consuming process. This groundbreaking new book sets o...

Practical MLOps

Noah Gift, Alfredo Deza

(0)

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable a...

Chaos Engineering: System Resiliency in Practice

Casey Rosenthal, Nora Jones

(0)

As more companies move toward microservices and other distributed technologies, the complexity of these systems increases. You can’t remove the complexity, but through Cha...

Руководство по DevOps. Как добиться гибкости, надежности и безопасности мирового уровня в технологических компаниях

Джин Ким, Патрик Дебуа, Джон Уиллис, Джез Хамбл, Patrick Debois, John Willis, Николь Форсгрен

4,1

(27)

Повышайте прибыльность, поднимайте корпоративную культуру и превосходите цели с помощью практик DevOps. Движение DevOps зародилось в 2009 году. Оно базируется на интегр...