Accelerating Development Velocity Using Docker - Kinnary Jangla

Accelerating Development Velocity Using Docker (eBook)

Docker Across Microservices

(Autor)

eBook Download: PDF
2018 | 1st ed.
XIX, 148 Seiten
Apress (Verlag)
978-1-4842-3936-0 (ISBN)
Systemvoraussetzungen
34,99 inkl. MwSt
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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.

     



    Kinnary Jangla has been in the tech industry for a dozen years and is currently an engineering manager at Pinterest overseeing the Docker Machine Learning Homefeed infrastructure team. Her main task is to ensure engineers are able to successfully train models for machine learning scenarios.  She previously worked at Uber and Microsoft and is the author of two books and six patents. You can find her on Twitter @kjangla..


    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 LearnSetup Docker and employ quick solutions to road blocksReview challenges associated with debugging microservices that sit behind a complex applicationLeverage Docker features to seamlessly get multiple microservices up and runningDebug inside a Docker containerReview advanced use cases of Docker that can help consistency of development environments*     Who This Book Is ForIdeal 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. 

    Kinnary Jangla has been in the tech industry for a dozen years and is currently an engineering manager at Pinterest overseeing the Docker Machine Learning Homefeed infrastructure team. Her main task is to ensure engineers are able to successfully train models for machine learning scenarios.  She previously worked at Uber and Microsoft and is the author of two books and six patents. You can find her on Twitter @kjangla..

    1. Containers2. Docker3. Monolith vs. Microservices4. Docker Basics5. Docker Images6. Docker Compose7. Debugging Microservices Using Docker8. Advanced Docker Use Cases

    Erscheint lt. Verlag 5.11.2018
    Zusatzinfo XIX, 148 p. 17 illus.
    Verlagsort Berkeley
    Sprache englisch
    Themenwelt Mathematik / Informatik Informatik Web / Internet
    Schlagworte containers • Distributed Systems • Docker • Infrastructure • Microservices
    ISBN-10 1-4842-3936-9 / 1484239369
    ISBN-13 978-1-4842-3936-0 / 9781484239360
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