Learn how to use the power of Docker and Kubernetes to deploy your Rails applications easily and efficiently. Deploying Rails with Docker, Kubernetes and ECS shows you how to set up the project, push it to DockerHub, manage services and set up an efficient continuous integration environment. Every concept is clearly explained alongside a full Ruby on Rails application deployment. You’ll also learn how to deploy via Docker using Amazon EC2 Container Service. Docker and Kubernetes are increasing in popularity every day, but what if you want to leverage their benefits for your Rails application? This is the quick guide you need. What You Will Learn Create a Rails API application using Rails 5 and PostgreSQL, and Dockerize it Write and test templates to run the application with Kubernetes Create a Kubernetes cluster in Amazon Web Services and run your Inspect and troubleshoot problems in the cluster Automatize the the whole deployment process with Jenkins Who This Book Is For This book is for anyone who wants to understand how to effectively deploy a Rails application using Docker and Kubernetes. You will need to understand Rails and have basic knowledge of what Docker and Kubernetes are used for.
This book includes original, peer-reviewed research papers from the International Conference on Internet of Things, Communication and Intelligent Technology (IoTCIT) 2022. It contains the application of communication and IoT engineering in the age of intelligent technology+ from the standpoint of disciplinary integration, combining theory and associated IoT and intelligent technology algorithms. The topics cover the full range of IoT solutions, from IoT to network security, and focus on many forms of communication, such as Next Generation (6G) Mobile Communication, D2D, and M2M Communication. Additionally, it examines Intelligent Technology, with a focus on Information System Modeling and Simulation. It also explores Cloud Computing, Pervasive and Mobile Computing, Distributed Computing, High Performance Computing, and Ubiquitous Computing.
This book constitutes the thoroughly refereed short papers, workshops and doctoral consortium papers of the 23rd European Conference on Advances in Databases and Information Systems, ADBIS 2019, held in Bled, Slovenia, in September 2019. The 19 short research papers and the 5 doctoral consortium papers were carefully reviewed and selected from 103 submissions, and the 31 workshop papers were selected out of 67 submitted papers. The papers are organized in the following sections: Short Papers; Workshops Papers; Doctoral Consortium Papers; and cover a wide spectrum of topics related to database and information systems technologies for advanced applications.
Docker does for DevOps what Rails did for web development--it gives you a new set of superpowers. Gone are "works on my machine" woes and lengthy setup tasks, replaced instead by a simple, consistent, Docker-based development environment that will have your team up and running in seconds. Gain hands-on, real-world experience with a tool that's rapidly becoming fundamental to software development. Go from zero all the way to 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 developer easier. It helps build, ship, and run your applications, solving major problems you face every day. It allows you to run applications at scale, adding new resources as needed. Docker provides a reliable, consistent environment that's guaranteed to work the same everywhere. Docker lets you do all things DevOps without needing a PhD in infrastructure and operations. Want to spin up a cluster to run your app? No problem. Scale it up or down at will? You bet. Start by running a Ruby script without having Ruby installed on the local machine. Then Dockerize a Rails application and run it using containers, including creating your own custom Docker images tailored for running Rails apps. Describe your app declaratively using Docker Compose, specifying the software dependencies along with everything needed to run the application. Then set up continuous integration, as well as your deployment pipeline and infrastructure. Along the way, find out the best practices for using Docker in development and production environments. This book gives you a solid foundation on using Docker and fitting it into your development workflow and deployment process. What You Need: All you need is a Windows, Mac OS X or Linux machine to do development on. This book guides you through the process of installing Docker. Some basic familiarity with Linux/Unix is recommended even if you're using a Windows machine.
Updated for Docker Community Edition v18.09! Docker book designed for SysAdmins, SREs, Operations staff, Developers and DevOps who are interested in deploying the open source container service Docker. In this book, we'll walk you through installing, deploying, managing, and extending Docker. We're going to do that by first introducing you to the basics of Docker and its components. Then we'll start to use Docker to build containers and services to perform a variety of tasks. We're going to take you through the development lifecycle, from testing to production, and see where Docker fits in and how it can make your life easier. We'll make use of Docker to build test environments for new projects, demonstrate how to integrate Docker with continuous integration workflow, and then how to build application services and platforms. Finally, we'll show you how to use Docker's API and how to extend Docker yourself. We'll teach you how to: * Install Docker. * Take your first steps with a Docker container. * Build Docker images. * Manage and share Docker images. * Run and manage more complex Docker containers. * Deploy Docker containers as part of your testing pipeline. * Build multi-container applications and environments. * Learn about orchestration using Compose and Swarm for the orchestration of Docker containers and Consul for service discovery. * Explore the Docker API. * Getting Help and Extending Docker.
Building and securely deploying container-based applications with Docker and Kubernetes using open source tools. KEY FEATURES ● Real-world examples of vulnerability analysis in Docker containers. ● Includes recommended practices for Kubernetes and Docker with real execution of commands. ● Includes essential monitoring tools for Docker containers and Kubernetes configuration. DESCRIPTION This book discusses many strategies that can be used by developers to improve their DevSecOps and container security skills. It is intended for those who are active in software development. After reading this book, readers will discover how Docker and Kubernetes work from a security perspective. The book begins with a discussion of the DevSecOps tools ecosystem, the primary container platforms and orchestration tools that you can use to manage the lifespan and security of your apps. Among other things, this book discusses best practices for constructing Docker images, discovering vulnerabilities, and better security. The book addresses how to examine container secrets and networking. Backed with examples, the book demonstrates how to manage and monitor container-based systems, including monitoring and administration in Docker. In the final section, the book explains Kubernetes' architecture and the critical security threats inherent in its components. Towards the end, it demonstrates how to utilize Prometheus and Grafana to oversee observability and monitoring in Kubernetes management. WHAT YOU WILL LEARN ● Familiarize yourself with Docker as a platform for container deployment. ● Learn how Docker can control the security of images and containers. ● Discover how to safeguard and monitor your Docker environment for vulnerabilities. ● Explore the Kubernetes architecture and best practices for securing your Kubernetes environment. ● Learn and explore tools for monitoring and administering Docker containers. ● Learn and explore tools for observing and monitoring Kubernetes environments. WHO THIS BOOK IS FOR This book is intended for DevOps teams, cloud engineers, and cloud developers who wish to obtain practical knowledge of DevSecOps, containerization, and orchestration systems like Docker and Kubernetes. Knowing the fundamentals of Docker and Kubernetes would be beneficial but not required. TABLE OF CONTENTS 1. Getting Started with DevSecOps 2. Container Platforms 3. Managing Containers and Docker Images 4. Getting Started with Docker Security 5. Docker Host Security 6. Docker Images Security 7. Auditing and Analyzing Vulnerabilities in Docker Containers 8. Managing Docker Secrets and Networking 9. Docker Container Monitoring 10. Docker Container Administration 11. Kubernetes Architecture 12. Kubernetes Security 13. Auditing and Analyzing Vulnerabilities in Kubernetes 14. Observability and Monitoring in Kubernetes
Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running. Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform’s simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers. Explore changes from Terraform 0.9 through 0.12, including backends, workspaces, and first-class expressions Learn how to write production-grade Terraform modules Dive into manual and automated testing for Terraform code Compare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt Stack Deploy server clusters, load balancers, and databases Use Terraform to manage the state of your infrastructure Create reusable infrastructure with Terraform modules Use advanced Terraform syntax to achieve zero-downtime deployment
Learn to implement DevOps using Docker & Kubernetes. About This Book Learning DevOps, container, and Kubernetes within one book. Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently. A practical guide towards container management and orchestration Who This Book Is For This book is targeted for anyone, who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced readers, you can also get a deeper understanding of all the tools and technique described in the book. What You Will Learn Learn fundamental and advanced DevOps skills and tools Get a comprehensive understanding for container Learn how to move your application to container world Learn how to manipulate your application by Kubernetes Learn how to work with Kubernetes in popular public cloud Improve time to market with Kubernetes and Continuous Delivery Learn how to monitor, log, and troubleshoot your application with Kubernetes In Detail Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your container clusters on the popular public cloud Amazon Web Services and Google Cloud Platform. At the end of the book, other orchestration frameworks, such as Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed. Style and approach Readers will be taken through fundamental DevOps skills and Kubernetes concept and administration with detailed examples. It introduces comprehensive DevOps topics, including microservices, automation tools, containers, monitoring, logging, continuous delivery, and popular public cloud environments. At each step readers will learn how to leverage Kubernetes in their everyday lives and transform their original delivery pipeline for fast and efficient delivery.
Containers have revolutionised the way we package and run applications. However, like most things, containers come with a bunch of challenges. This is where Kubernetes comes into play. Kubernetes helps you deploy and manage containerised applications at scale. It also abstracts the underlying infrastructure so that you don't need to care if you're deploying applications to Amazon Web Services, Microsoft Azure, or your own on-premises datacenter. With Kubernetes, you can develop applications on your laptop, deploy to your favourite cloud platform, migrate to a different cloud platform, and even migrate to your on-premises datacenters. Finally, Kubernetes and cloud technologies are developing fast! That's why this book will be updated every year, meaning it's always up-to-date with the latest versions of Kubernetes and the latest trends in the cloud-native ecosystem. --
Start using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes. Next, Kubernetes Microservices with Docker discusses using Kubernetes with all major groups of technologies such as relational databases, NoSQL databases, and in the Apache Hadoop ecosystem. The book concludes with using multi container pods and installing Kubernetes on a multi node cluster. /div "a concise but clear introduction to containers, Docker and Kubernetes, using simple real-world examples to pass on the core concepts, via repetition, and is a very useful enabler." 10/10 Dave Hay MBCS CITP: review for BCS, The Chartered Institute for IT (http://www.bcs.org/content/conWebDoc/58512) What You Will Learn Install Kubernetes on a single node Set environment variables Create multi-container pods using Docker Use volumes Use Kubernetes with the Apache Hadoop ecosystem, NoSQL databases, and RDBMSs Install Kubernetes on a multi-node cluster Who This Book Is For Application developers including Apache Hadoop developers, database developers and NoSQL developers.
