Odoo Docker Practical Tricks To Create Your Custom Odoo Docker Image
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Odoo Docker: Practical Tricks to Create Your Custom Odoo Docker Image
So, you have reached at a point to implement Odoo not in the default standard way.. Where your Odoo implementation has required that many instances running in parallel and can't be handled with a single or two servers anymore.. And the decision is to utilize Docker, as it can be scaled and managed easily as the client request increased dramatically. Then. This book is for you.. Docker will reduce the complexity of implementing a software system that requires many supporting subsystems, libraries, external program, where sometimes a small difference of minor version or setting can cause the whole system failed to work. Docker will solve the ‘it works in my laptop’ problem we commonly face while working with developers. I will teach you how to start creating your custom Odoo Docker Image, begins with running the official one that we got from Odoo, then tweak it to suit your needs and start generating your custom image. Direct to the point, not that much theory. Then I will also teach you how to integrate your custom image to a GitHub repository (Gitlab works as well), so that every commit to the repository will automatically create a new image version.. Or, when you need to pull the repository on every docker container restart.. Or, when you need to clone the repository on every docker container restart.. I will teach you all of those practical things step by step, no need for any prior knowledge of Docker, just a little bit of Linux standard commands. Please also check my other course on how to manage the docker containers in Kubernetes environment to achieve the autoscaling and zero downtime for our Odoo instances. Hope you find this course useful for your daily jobs.
Docker and Kubernetes for Java Developers
Author: Jaroslaw Krochmalski
language: en
Publisher: Packt Publishing Ltd
Release Date: 2017-08-30
Leverage the lethal combination of Docker and Kubernetes to automate deployment and management of Java applications About This Book Master using Docker and Kubernetes to build, deploy and manage Java applications in a jiff Learn how to create your own Docker image and customize your own cluster using Kubernetes Empower the journey from development to production using this practical guide. Who This Book Is For The book is aimed at Java developers who are eager to build, deploy, and manage applications very quickly using container technology. They need have no knowledge of Docker and Kubernetes. What You Will Learn Package Java applications into Docker images Understand the running of containers locally Explore development and deployment options with Docker Integrate Docker into Maven builds Manage and monitor Java applications running on Kubernetes clusters Create Continuous Delivery pipelines for Java applications deployed to Kubernetes In Detail Imagine creating and testing Java EE applications on Apache Tomcat Server or Wildfly Application server in minutes along with deploying and managing Java applications swiftly. Sounds too good to be true? But you have a reason to cheer as such scenarios are only possible by leveraging Docker and Kubernetes. This book will start by introducing Docker and delve deep into its networking and persistent storage concepts. You will then proceed to learn how to refactor monolith application into separate services by building an application and then packaging it into Docker containers. Next, you will create an image containing Java Enterprise Application and later run it using Docker. Moving on, the book will focus on Kubernetes and its features and you will learn to deploy a Java application to Kubernetes using Maven and monitor a Java application in production. By the end of the book, you will get hands-on with some more advanced topics to further extend your knowledge about Docker and Kubernetes. Style and approach An easy-to-follow, practical guide that will help Java developers develop, deploy, and manage Java applications efficiently.
Docker Cookbook - Second Edition
Leverage Docker to deploying software at scale Key Features Leverage practical examples to manage containers efficiently Integrate with orchestration tools such as Kubernetes for controlled deployments Learn to implement best practices on improving efficiency and security of containers Book Description Docker is an open source platform for building, shipping, managing, and securing containers. Docker has become the tool of choice for people willing to work with containers. Since the market is moving toward containerization, Docker will definitely have a big role to play in the future tech market. This book starts with setting up Docker in different environment, and helps you learn how to work with Docker images. Then, you will take a deep dive into network and data management for containers. The book explores the RESTful APIs provided by Docker to perform different actions, such as image/container operations. The book then explores logs and troubleshooting Docker to solve issues and bottlenecks. You will gain an understanding of Docker use cases, orchestration, security, ecosystems, and hosting platforms to make your applications easy to deploy, build, and collaborate on. The book covers the new features of Docker 18.xx (or later), such as working with AWS and Azure, Docker Engine, Docker Swarm, Docker Compose, and so on. By the end of this book, you will have gained hands-on experience of finding quick solutions to different problems encountered while working with Docker. What you will learn Install Docker on various platforms Work with Docker images and containers Container networking and data sharing Docker APIs and language bindings Various PaaS solutions for Docker Implement container orchestration using Docker Swarm and Kubernetes Container security Docker on various clouds Who this book is for Book is targeted towards developers, system administrators, and DevOps engineers who want to use Docker in his/her development, QA, or production environments. It is expected that the reader has basic Linux/Unix skills such as installing packages, editing files, managing services, and so on. Any experience in virtualization technologies such as KVM, XEN, and VMware will be an added advantage