Simplify multi-clusters in Kubernetes with Kubermatic Platform

Today, it is prevalent for businesses to operate and manage multiple Kubernetes clusters and cloud-native operations across different cloud providers or infrastructures. However, as each Kubernetes cluster is a nearly self-contained unit, the upstream community tries to research and develop Kubernetes multi-cluster management solutions. That said, Kubernetes Cluster may be a possible way, among others.

The most frequent use cases of multi-cluster management involve development and production isolation, service traffic load balancing, decoupling of data processing and data storage, cross-cloud backup and disaster recovery, manageable allocation of computing resources, and low latency access cross-region services, and vendor lock-in avoidance.

Kubermatic is developed to address multi-cluster and multi-cloud management challenges, including the situations mentioned above. It offers users a centralized control plane to distribute applications and their models to multiple clusters from the public cloud to on-premises ecosystems. Kubernetes applications also possess strong observability across multiple clusters, involving unified monitoring, logging, events, and auditing logs. Connecting and authenticating to clusters across multiple environments can be a bit daunting. 

Kubermatic Kubernetes Platform provides application teams a self-service platform to pace up development cycles. For operators, this Platform automates deployment and full cluster lifecycle management, removing the stress of running Kubernetes in production and releasing valuable resources to accelerate business innovation.