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Python application to be developed and containerized with Docker. After an introduction to Containers and Docker you'll be guided through Docker;
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Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system;
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book is packed with exercises and samples where you run your own containers and create your own Docker images. Read this book, and you can;
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A practical approach to conquering the complexities of Microservices using the Python tooling ecosystem About This Book * A very;
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A step-by-step guide to building microservices using Python and Docker, along with managing and orchestrating them with Kubernetes Key;
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how it can be used to build a linked system with Python churning data behind the scenes and Jupyter managing these background tasks. Best;
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to use Python for everyday Linux systems administration tasks with today's most useful DevOps tools, including Docker, Kubernetes, and;
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solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine;
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Become a proficient Linux administrator by learning the art of container networking with elevated efficiency using Docker About This Book;
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You Will Learn * Get to grips with docker fundamentals and how to dockerize an application for the Continuous Delivery process * Configure;
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60 practical recipes that help you gain expertise with Docker networking and understand the underlying constructs that make it all work;
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and retrieve images In Detail This fast-paced practical guide will get you up and running with Docker. Using Docker, you will be able to;
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workflow-and getting the integration details right-is not a trivial task. With the updated edition of this practical guide, you'll learn how to use;
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Get a comprehensive understanding of gRPC fundamentals through real-world examples. With this practical guide, you'll learn how this high;
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with whom, what they're talking about, and where they're located-using Python code examples, Jupyter notebooks, or Docker containers;
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* Master the skills of creating various plugins and integrating great tools in order to enhance the functionalities of Docker * A practical and;
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A concise, fast-paced guide to orchestrating and deploying scalable services with Docker About This Book * Explore the new features;
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Practical Maya Programming with Python is a practical tutorial packed with plenty of examples and sample projects which guides you through;
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Unlock the full potential of the Docker containerization platform with this practical guide Key Features Explore tools such as Docker;
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the running of containers locally * Explore development and deployment options with Docker * Integrate Docker into Maven builds * Manage;
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acquainted with concepts such as Docker containers, Docker images, orchestrators and so on. Practical test-based approach to learning a prominent;
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. You'll learn best practices for using Compute Engine, with a focus on solving practical problems. With programming examples written in Python and;
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Explore what React, Node, Python, Django, TypeScript, Webpack, and Docker have to offer individually, and how they all fit together;
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* Run containers with high availability and fail-over with Docker Swarm * Master security in-depth with the Docker platform, making your apps;
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of OS Get started with developing Docker images Use Docker with your Jenkins CI/CD system Book DescriptionDocker is an open source software;
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applications in production environments. Packed with examples and practical demonstrations, this book will help you deploy even large-scale, cross;
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and emergent technologies for effective Docker orchestration and management * A step-by-step guide to diagnosing and fixing problems with;
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