Kubernetes is an open-source platform for scheduling and automating the deployment, management and scaling of containerized applications. Also known as “k8s” or “kube” — this container orchestration platform enables cost-effective cloud-native development. Along with all the advantages that come up with deploying Kubernetes, there are many management and monitoring challenges too. Engineering teams can be seen exploring ways to navigate through these complicated and often overwhelming Kubernetes management challenges to get the most out of their investments.
Kubernetes management involves all operations that deal with complete controlling and tracking of cluster metrics. Such tasks comprise the initiation, controlling, scaling and deletion of pods & containers, their configuration and the evaluation of cluster metrics. K8s management is not only concerned with performance-measured workloads. It also comprises maintenance of the supportive framework which covers the areas such as networking, storage and security. However, managing a Kubernetes cluster is rather complex because of the multi-layered architecture of Kubernetes and the dynamic nature of Kubernetes environments.
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