Accelerating Development Velocity Using Docker: Docker Across Microservices

Accelerating Development Velocity Using Docker: Docker Across Microservices
Authors: Kinnary Jangla
ISBN-10: 1484239350
ISBN-13: 9781484239353
Edition 版本:‏ 1st ed.
Released: 2018-11-06
Print Length 页数: 168 pages

Book Description


Discover how a software engineer can leverage Docker in order to expedite development velocity. This book focuses on the fundamental concepts this program is built upon and explores how it can help you get your services up and running inside Docker containers. You’ll also review tips on how to debug microservices applications that run inside Docker containers.
Tech companies are now developing complex softwares that are comprised of multiple services running on different platforms,and Docker has become an essential part of coordinating the communication between these services and platforms.
This book addresses problems caused by drifting microservices,debugging across services,inconsistent environments across machines,and coordinating development of machine learning systems between a team of developers,etc. Accelerating Development Velocity Using Docker puts you on the path to transforming your complex systems into more efficient ones.
What You’ll Learn
Setup Docker and employ quick solutions to road blocks
Review challenges associated with debugging microservices that sit behind a complex application
Leverage Docker features to seamlessly get multiple microservices up and running
Debug inside a Docker container
Review advanced use cases of Docker that can help consistency of development environments
Who This Book Is For
Ideal for new to mid-level infrastructure engineers who want to learn how to make their development environments efficient across their and cross teams,or for students who aspire to learn basics of how to debug distributed systems and how to develop efficient applications.
Cover 1.Containers
2.Docker
3.Monolith vs.Microservices
4.Docker Basics5.Docker lmages
6.Docker Compose
7.Debugging Microservices Using Docker
8.Advanced Docker Use Cases

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