OpenShift is Red Hat's container application platform that provides a full-stack platform for deploying and managing containerized applications. It is based on Docker and Kubernetes and provides additional capabilities for self-service, automation, multi-language support, and enterprise features like authentication, centralized logging, and integration with Red Hat's JBoss middleware. OpenShift handles building, deploying, and scaling applications in a clustered environment with capabilities for continuous integration/delivery, persistent storage, routing, and monitoring.
This document provides an overview of Kubernetes including: 1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications. 2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager. 3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
OpenShift is a Platform-as-a-Service that provides development environments on demand using containers. It automates application lifecycles including build, deploy, and retirement. OpenShift uses containers to package applications and dependencies in a portable way. Red Hat addresses concerns around adopting containers at scale through OpenShift, which provides security, scalability, integration, management and certification capabilities. OpenShift runs on a user's choice of infrastructure and orchestrates applications across nodes using Kubernetes.
Storage is a critical part of running containers, and Kubernetes offers some powerful primitives for managing it. This webinar discusses various strategies for adding persistence to the containerised workloads.
source : http://www.opennaru.com/cloud/virtualization-vs-container/ 가상화 기술은 하이퍼바이저를 통해 하드웨어를 에뮬레이션하여 가상 이미지 마다 게스트 운영 체제로를 사용합니다. 컨테이너는 애플리케이션 수준으로 구성되며 커널 하나를 공유하는 여러 OS 가상화합니다. 컨테이너는 일반적으로 크기가 메가바이트 단위입니다. 앱보다 크거나 실행하는 데 필수적인 모든 파일이 컨테이너에 패키징되는 것은 아니며, 특정 작업을 수행하는 단일 기능(마이크로서비스라고 함)이 컨테이너에 패키징되는 경우가 많습니다. 컨테이너는 경량화 속성과 공유 운영 체제(OS)로 인해 여러 환경 간에 매우 쉽게 이동할 수 있습니다. VM은 일반적으로 크기가 기가바이트 단위입니다. 일반적으로 VM은 자체 OS를 포함하고 있어 리소스 집약적인 기능 여러 개를 동시에 수행할 수 있습니다. VM에서 사용할 수 있는 리소스가 늘어남에 따라 VM은 전체 서버, OS, 데스크탑, 데이터베이스, 네트워크를 추상화, 분할, 복제, 에뮬레이션할 수 있습니다.
Introduction to DevOps covering: - Why DevOps - How to build DevOps Teams in your organization - Cloud Tools you can use for DevOps (Azure and AWS) - Legacy Software and DevOps - What is the Future of DevOps - People to Follow
Docker allows applications to be packaged with all their dependencies and run consistently across computing environments. It provides isolation, security and portability for applications. This document discusses setting up an Eh Avatar application to run in Docker containers for Postgres, Redis and the application itself. It covers bringing up the dependency containers, building a custom Docker image for the application, and using Docker Compose to define and run the multi-container application. While this provides an introduction, there is still more to learn about optimizing Docker usage and avoiding common pitfalls.
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
This document discusses Kubernetes persistent storage options for stateful applications. It covers common use cases that require persistence like databases, messaging systems, and content management systems. It then describes Kubernetes persistent volume (PV), persistent volume claim (PVC), and storage class objects that are used to provision and consume persistent storage. Finally, it compares deployments with statefulsets and covers other volume types like emptyDir, hostPath, daemonsets and their use cases.
This document provides an overview of Kubernetes including: - Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications. - Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate. - The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services. - Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
This document provides an overview of DevOps, including: - Defining DevOps as unifying software development and operations through automation and monitoring. - Tracing the history from waterfall to agile/DevOps approaches. - Describing the DevOps lifecycle including continuous development, testing, integration, delivery, and monitoring. - Explaining concepts like continuous integration, continuous delivery, and emphasizing culture changes like collaboration over silos.
This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
Tell the history of Container/Docker/Kubernetes, and show the key elements of them. After view this document, you could know the main feature of Container Docker and Kubernetes. Very basic infomation about how these technique work together.
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
This presentation by Serhii Abanichev (System Architect, Consultant, GlobalLogic) was delivered at GlobalLogic Kharkiv DevOps TechTalk #1 on October 8, 2019. In this talk were covered: - Full coverage of DevOps with Azure DevOps Services: - Create, test and deploy in any programming language, to any cloud or local environment. - Run concurrently on Linux, macOS, and Windows, deploying containers for individual hosts or Kubernetes. - Azure DevOps Services: a Microsoft solution that replaces dozens of tools ensuring smooth delivery to end users. Event materials: https://www.globallogic.com/ua/events/kharkiv-devops-techtalk-1/
***** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification ***** This Edureka tutorial on "What is Kubernetes" will give you an introduction to one of the most popular Devops tool in the market - Kubernetes, and its importance in today's IT processes. This tutorial is ideal for beginners who want to get started with Kubernetes & DevOps. The following topics are covered in this training session: 1. Need for Kubernetes 2. What is Kubernetes and What it's not 3. How does Kubernetes work? 4. Use-Case: Kubernetes @ Pokemon Go 5. Hands-on: Deployment with Kubernetes DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
****** DevOps Training : https://www.edureka.co/devops ****** This Introduction To DevOps Tools tutorial explains the popular DevOps tools which are actively used in industry and why you should learn them. The following topics have been covered in this tutorial:- 1. Software Development Challenges *Agile 2. DevOps: Need, Rise & Tools involved 3. Git (SCM): Need, Working & Use-case 4. Selenium, TestNG & Maven (CT): Need & Working 5. Jenkins (CI): Need, Working & Use-case 6. Docker (CD & Containers): Need & Working 7. Ansible (CD & CM): Need & Working 8. Structured DevOps Training at Edureka Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance. An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
Docker provides a new, powerful way of prototyping, testing and deploying applications on cloud-based infrastructures. In this seminar we delve into the concept of Docker containers without requiring any previous knowledge from the audience.
This talk presented by myself and Christian Posta present the technology developed around JBoss Fuse and opensource Fabric8 project to simplify the setup/creation of a DevOps environment supporting continuous delivery and integration strategy using Jenkins DSL Jobs, Gerrit and Gogs as Git Reviewing and Management platform like also Nexus to publish the code compiled.
The document discusses packaging Java EE applications using Docker and Kubernetes. It provides an overview of Docker concepts like images, containers and registries. It then discusses Kubernetes which provides an orchestration system for Docker containers to provide capabilities like self-healing, auto-restarting and scheduling containers across hosts. Key Kubernetes concepts discussed include pods, services and replication controllers. Finally it provides some recipes for running Java EE applications on Kubernetes using Docker containers.
Kubernetes is an open source container cluster orchestration platform founded by Google. This presentation covers an overview of it's main concepts, plus how it fits into Google Cloud Platform. This was delivered by Kit Merker at DevNexus 2015 in Atlanta.
Overview of modern app development and how Red Hat OpenShift Container Platform enables containerized, orchestrated microservices.
By Rafael Benevides and Christian Posta A lot of functionality necessary for running in a microservices architecture have been built into Kubernetes; why would you re-invent the wheel with lots of complicated client-side libraries? Have you ever asked why you should use containers and what are the benefits for your application? This talk will present a microservices application that have been built using different Java platforms: WildFly Swarm and Vert.x. Then we will deploy this application in a Kubernetes cluster to present the advantages of containers for MSA (Microservices Architectures) and DevOps. The attendees will learn how to create, edit, build, deploy Java Microservices, and also how to perform service discovery, rolling updates, persistent volumes and much more. Finally we will fix a bug and see how a CI/CD Pipeline automates the process and reduces the deployment time.
Essentials Characteristics Cloud Computing. Stack Model: Software as a Service, Platform as a Service and Infrastructure as a Service
Cloud Computing fundamental for user, corporate, provider support team. + Sneak peak to cloud certification
This document provides an overview of Kubernetes networking and storage capabilities. It begins with an agenda that includes a deep dive on Kubernetes networking and persistent volumes, as well as live demos of persistent storage and another topic. The document then discusses Kubernetes networking at the host level using pods that share IP, IPC, and disk, as well as inter-host networking solutions like OpenShift SDN. It also covers Kubernetes persistent volume claims that allow administrators to provision storage and developers to request storage that is independent of the underlying devices. The document concludes with demos of storage and another topic.
This presentation gives an Overview about Kubernetes and OpenShift, their differences and what fabric8 (fabric8.io) adds to the mix
This document summarizes a presentation about scaling Python applications using Docker, Kubernetes, and OpenShift. It discusses how the speaker previously ran Python applications on virtual servers, the shortcomings of that approach, and how containerization tools address those issues. It provides an overview of Docker for building application images, Kubernetes for orchestrating containers, and OpenShift for deploying applications to production. The speaker advocates these tools to gain benefits like continuous deployment, easy scaling, and portability across infrastructures.
An introduction to Atomic Enterprise Platform and OpenShift 3 presented by Gavin McDougall at the 2015 Red Hat Forum Johannesburg.