Operating OpenShift (e-bog) af Dewald, Manuel
Dewald, Manuel (forfatter)

Operating OpenShift e-bog

359,43 DKK (inkl. moms 449,29 DKK)
Kubernetes has gained significant popularity over the past few years, with OpenShift as one of its most mature and prominent distributions. But while OpenShift provides several layers of abstraction over vanilla Kubernetes, this software can quickly become overwhelming because of itsrich feature set and functionality. This practical book helps you understand and manage OpenShift clusters from m...
E-bog 359,43 DKK
Forfattere Dewald, Manuel (forfatter)
Udgivet 7 november 2022
Længde 266 sider
Genrer UTC
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781098106348
Kubernetes has gained significant popularity over the past few years, with OpenShift as one of its most mature and prominent distributions. But while OpenShift provides several layers of abstraction over vanilla Kubernetes, this software can quickly become overwhelming because of itsrich feature set and functionality. This practical book helps you understand and manage OpenShift clusters from minimal deployment to large multicluster installations.Principal site reliability engineers Rick Rackow and Manuel Dewald, who worked together on Red Hat's managed OpenShift offering for years, provide valuable advice to help your teams operate OpenShift clusters efficiently. Designed for SREs, system administrators, DevOps engineers, andcloud architects, Operating OpenShift encourages consistent and easy container orchestration and helps reduce the effort of deploying a Kubernetes platform. You'll learn why OpenShift has become highly attractive to enterprises large and small.Learn OpenShift core concepts and deployment strategiesExplore multicluster OpenShift Container Platform deploymentsAdminister OpenShift clusters following best practicesLearn best practices for deploying workloads to OpenShiftMonitor OpenShift clusters through state-of-the-art conceptsBuild and deploy Kubernetes operators to automate administrative tasksConfigure OpenShift clusters using a GitOps approach