Kubernetes management design patterns: with Docker, Coreos Linux, and other platforms
Take container cluster management to the next level; learn how to administer and configure Kubernetes on CoreOS; and apply suitable management design patterns such as Configmaps, Autoscaling, elastic resource usage, and high availability. Some of the other features discussed are logging, scheduling,...
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Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
2017
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Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781484225981/?ar |
Zusammenfassung: | Take container cluster management to the next level; learn how to administer and configure Kubernetes on CoreOS; and apply suitable management design patterns such as Configmaps, Autoscaling, elastic resource usage, and high availability. Some of the other features discussed are logging, scheduling, rolling updates, volumes, service types, and multiple cloud provider zones. The atomic unit of modular container service in Kubernetes is a Pod, which is a group of containers with a common filesystem and networking. The Kubernetes Pod abstraction enables design patterns for containerized applications similar to object-oriented design patterns. Containers provide some of the same benefits as software objects such as modularity or packaging, abstraction, and reuse. CoreOS Linux is used in the majority of the chapters and other platforms discussed are CentOS with OpenShift, Debian 8 (jessie) on AWS, and Debian 7 for Google Container Engine. You will: Use Kubernetes with Docker Create a Kubernetes cluster on CoreOS on AWS Apply cluster management design patterns Use multiple cloud provider zones Work with Kubernetes and tools like Ansible Discover the Kubernetes-based PaaS platform OpenShift Create a high availability website Build a high availability Kubernetes master cluster Use volumes, configmaps, services, autoscaling, and rolling updates Manage compute resources Configure logging and scheduling. |
Beschreibung: | Includes index. - Includes bibliographical references and index. - Print version record |
Umfang: | 1 Online-Ressource |
ISBN: | 9781484225981 1484225988 |
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spelling | Vohra, Deepak 1966- VerfasserIn aut Kubernetes management design patterns with Docker, Coreos Linux, and other platforms Deepak Vohra 2017 ©2017 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Includes bibliographical references and index. - Print version record Take container cluster management to the next level; learn how to administer and configure Kubernetes on CoreOS; and apply suitable management design patterns such as Configmaps, Autoscaling, elastic resource usage, and high availability. Some of the other features discussed are logging, scheduling, rolling updates, volumes, service types, and multiple cloud provider zones. The atomic unit of modular container service in Kubernetes is a Pod, which is a group of containers with a common filesystem and networking. The Kubernetes Pod abstraction enables design patterns for containerized applications similar to object-oriented design patterns. Containers provide some of the same benefits as software objects such as modularity or packaging, abstraction, and reuse. CoreOS Linux is used in the majority of the chapters and other platforms discussed are CentOS with OpenShift, Debian 8 (jessie) on AWS, and Debian 7 for Google Container Engine. You will: Use Kubernetes with Docker Create a Kubernetes cluster on CoreOS on AWS Apply cluster management design patterns Use multiple cloud provider zones Work with Kubernetes and tools like Ansible Discover the Kubernetes-based PaaS platform OpenShift Create a high availability website Build a high availability Kubernetes master cluster Use volumes, configmaps, services, autoscaling, and rolling updates Manage compute resources Configure logging and scheduling. Linux Software architecture Architecture logicielle Operating systems Computer programming ; software development Servers COMPUTERS ; Computer Literacy COMPUTERS ; Computer Science COMPUTERS ; Data Processing COMPUTERS ; Hardware ; General COMPUTERS ; Information Technology COMPUTERS ; Machine Theory COMPUTERS ; Reference 9781484225974 Erscheint auch als Druck-Ausgabe 9781484225974 |
spellingShingle | Vohra, Deepak 1966- Kubernetes management design patterns with Docker, Coreos Linux, and other platforms Linux Software architecture Architecture logicielle Operating systems Computer programming ; software development Servers COMPUTERS ; Computer Literacy COMPUTERS ; Computer Science COMPUTERS ; Data Processing COMPUTERS ; Hardware ; General COMPUTERS ; Information Technology COMPUTERS ; Machine Theory COMPUTERS ; Reference |
title | Kubernetes management design patterns with Docker, Coreos Linux, and other platforms |
title_auth | Kubernetes management design patterns with Docker, Coreos Linux, and other platforms |
title_exact_search | Kubernetes management design patterns with Docker, Coreos Linux, and other platforms |
title_full | Kubernetes management design patterns with Docker, Coreos Linux, and other platforms Deepak Vohra |
title_fullStr | Kubernetes management design patterns with Docker, Coreos Linux, and other platforms Deepak Vohra |
title_full_unstemmed | Kubernetes management design patterns with Docker, Coreos Linux, and other platforms Deepak Vohra |
title_short | Kubernetes management design patterns |
title_sort | kubernetes management design patterns with docker coreos linux and other platforms |
title_sub | with Docker, Coreos Linux, and other platforms |
topic | Linux Software architecture Architecture logicielle Operating systems Computer programming ; software development Servers COMPUTERS ; Computer Literacy COMPUTERS ; Computer Science COMPUTERS ; Data Processing COMPUTERS ; Hardware ; General COMPUTERS ; Information Technology COMPUTERS ; Machine Theory COMPUTERS ; Reference |
topic_facet | Linux Software architecture Architecture logicielle Operating systems Computer programming ; software development Servers COMPUTERS ; Computer Literacy COMPUTERS ; Computer Science COMPUTERS ; Data Processing COMPUTERS ; Hardware ; General COMPUTERS ; Information Technology COMPUTERS ; Machine Theory COMPUTERS ; Reference |
work_keys_str_mv | AT vohradeepak kubernetesmanagementdesignpatternswithdockercoreoslinuxandotherplatforms |