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Autor Tópico: OpenShift, Docker & Kubernetes - Perfect Container Platform  (Lida 340 vezes)

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Offline mitsumi

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OpenShift, Docker & Kubernetes - Perfect Container Platform
h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2 channels | 4h 09mn | 1.68 GB
Develop And Deploy Applications Using Openshift. Use Docker And Kubernetes To Manage Your Containerized Applications

What you'll learn

Basic concepts of OpenShift
Understand how to build and test code continuously on OpenShift
Configure a pipeline in OpenShift platform and build a sample Jenkins Configuration
Create Templates, Configuration Maps and Volumes
Deploy PostgreSQL database container and custom Python Flask application

Requirements

Familiarity with Windows/ Linux Operating System.
Basic knowledge of Virtual Machines, Cloud Computing, Application Containerization and Container Orchestration.
Basic understanding of Docker and Kubernetes.
Burning desire to learn something new.

Description

Today, almost every industry is facing disruption and unanticipated competition that requires them to respond to changing business needs in a faster way. Businesses need their IT departments to take a fresh approach and leverage modern tools to provide innovative solutions. Traditional approaches are proving to be too slow to deliver a timely solution. The platforms which are deployment centric with DevOps initiatives are proving to be beneficial.

OpenShift is an open source, cloud-based platform-as-a-service that combines everything into a single platform and allows you to manage tasks easily. OpenShift combines DevOps, Containers, Microservices, Kubernetes on the Cloud and fits on top of these. OpenShift container platform is built around 'Docker', providing application containerization and 'Kubernetes', doing container orchestration and management. It supports a vast range of applications and makes the developer's job of developing and deploying applications easy. It allows you to create, modify, deploy and scale your apps quickly and easily.

In the coming years, more

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