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Genomics in the Cloud Using Docker, GATK, and WDL in Terra

, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and;

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Docker on Windows

* Run Docker on Windows 10, Windows Server 2016, and in the cloud * Deploy and monitor distributed solutions across multiple Docker containers;

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Docker on Amazon Web Services

, secure, and scalable container platforms in the cloud. What you will learn Build, deploy, and operate Docker applications using AWS Solve;

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Learn Docker - Fundamentals of Docker 19.x

, and run a containerized, highly distributed application on Docker Swarm or Kubernetes, running on-premises or in the cloud. What you will;

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Docker Orchestration

deploy containers using Continuous Integration * Deploy cluster hosts on cloud services and automate your infrastructure In Detail Docker;

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Docker for Developers

deployment (CI/CD) Gain insights into using various Docker tools and libraries Book DescriptionDocker is the de facto standard for containerizing;

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Continuous Delivery with Docker and Jenkins

Learn how to use Jenkins on the Cloud environments Scale a pool of Docker servers using Kubernetes Create multi-container applications using;

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Continuous Delivery with Docker and Jenkins

in the cloud Scale a pool of Docker servers using Kubernetes Write acceptance tests using Cucumber Run tests in the Docker ecosystem using;

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Cloud Native Applications with Docker and Kubernetes

This book takes developers on a journey into the cloud with Docker and Kubernetes. It walks you through the basics of Docker containers;

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Cloud Native Applications with Docker and Kubernetes

This book takes developers on a journey into the cloud with Docker and Kubernetes. It walks you through the basics of Docker containers;

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Learn Docker - Fundamentals of Docker 18.x

of deployment, orchestration, networking, and security. Furthermore, we explain Docker functionalities on public clouds such as AWS. By the end of this;

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Pro DevOps with Google Cloud Platform

DevOps concepts, continuous integration, and continuous delivery, you'll cover common tools including Jenkins, Docker, and Kubernetes in the;

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Practical Cloud-Native Java Development with MicroProfile

applying the 12-Factor methodology while building cloud-native applications Create client-server architecture using MicroProfile Rest Client and;

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Beginning Cloud Native Development with MicroProfile, Jakarta EE, and Kubernetes

application on Docker and Kubernetes. After reading this book, you'll come away with the fundamentals you need to build and deploy your first cloud;

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Docker for Rails Developers

production as Docker transforms the massive leap of deploying your app in the cloud into a baby step. Docker makes life as a Ruby and Rails;

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Docker for Data Science

and they can render the standard Jupyter system unusable. As a solution to this problem, Docker for Data Science proposes using Docker;

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Docker In Action

shows how to take advantage of the Linux OS features that Docker uses to run programs securely, and how to manage shared resources. Using;

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Learning Docker -

container-based apps. No prior knowledge of Docker is expected. What You Will Learn * Develop containerized applications using the Docker;

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DevOps for Web Development

, which this book will help you overcome using various tools, such as Chef, Docker, and Jenkins. On the basis of the functionality of these;

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Getting Started with Containers in Google Cloud Platform

will deploy containerized applications with GCP Cloud Run and create an automated CI/CD deployment pipeline using Cloud Build. The book covers;

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Hands-On Microservices with Kotlin

implementation. Reap the benefits of using the reactive paradigm and take advantage of non-blocking techniques to take your services to the next level;

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Continuous Delivery with Docker and Jenkins

applications directly on the Docker Swarm cluster. * Create more complex solutions using multi-containers and database migrations. Who This Book;

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Google Compute Engine

. 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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Docker High Performance

cluster. You will then learn how to automate this cluster by using Chef Server and Cookbook. After that, you will run the Docker monitoring system;

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Learn Microservices with Spring Boot

service discovery and load balancing; building Docker images using cloud-native buildpacks; a basic centralized logging solution; E2E traceability;

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Learn Microservices with Spring Boot

for service discovery and load balancing; building Docker images using cloud-native buildpacks; a basic centralized logging solution; E2E;

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Docker Quick Start Guide

platform that helps you with creating, deploying, and running your applications using containers. This book is your ideal introduction to Docker;

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