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    Deployment with Docker: Apply continuous integration models, deploy applications quicker, and scale at large by putting Docker

    Posted By: First1
    Deployment with Docker: Apply continuous integration models, deploy applications quicker, and scale at large by putting Docker

    Deployment with Docker: Apply continuous integration models, deploy applications quicker, and scale at large by putting Docker to work by Srdjan Grubor
    English | December 18th, 2017 | ASIN: B075V97CCD, ISBN: 1786469006 | 373 Pages | EPUB | 3.56 MB

    Deploying Docker into production is considered to be one of the major pain points in developing large-scale infrastructures, and the documentation available online leaves a lot to be desired. With this book, you will learn everything you wanted to know to effectively scale your deployments globally and build a resilient, scalable, and containerized cloud platform for your own use.

    The book starts by introducing you to the containerization ecosystem with some concrete and easy-to-digest examples; after that, you will delve into examples of launching multiple instances of the same container. From there, you will cover orchestration, multi-node setups, volumes, and almost every relevant component of this new approach to deploying services. Using intertwined approaches, the book will cover battle-tested tooling, or issues likely to be encountered in real-world scenarios, in detail. You will also learn about the other supporting components required for a true PaaS deployment and discover common options to tie the whole infrastructure together.

    At the end of the book, you learn to build a small, but functional, PaaS (to appreciate the power of the containerized service approach) and continue to explore real-world approaches to implementing even larger global-scale services.

    Key Features
    • Use Docker containers, horizontal node scaling, modern orchestration tools (Docker Swarm, Kubernetes, and Mesos) and Continuous Integration/Continuous Delivery to manage your infrastructure.
    • Increase service density by turning often-idle machines into hosts for numerous Docker services.
    • Learn what it takes to build a true container infrastructure that is scalable, reliable, and resilient in the face of increased complexities from using container infrastructures.
    • Find out how to identify, debug, and mitigate most real-world, undocumented issues when deploying your own Docker infrastructure.
    • Learn tips and tricks of the trade from existing Docker infrastructures running in production environments.

    What you will learn
    • Set up a working development environment and create a simple web service to demonstrate the basics
    • Learn how to make your service more usable by adding a database and an app server to process logic
    • Add resilience to your services by learning how to horizontally scale with a few containers on a single node
    • Master layering isolation and messaging to simplify and harden the connectivity between containers
    • Learn about numerous issues encountered at scale and their workarounds, from the kernel up to code versioning
    • Automate the most important parts of your infrastructure with continuous integration

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