Multiple users share the same cluster resources and control plane.
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Multitenancy means a cluster is shared among several workloads, or tenants. Kubernetes is a complex, high-level platform that offers multiple options for your deployments: single server, multitenant, or multi-cluster. FailoverĪrchitecting multi-cluster workloads minimizes the downtime issues common within a single cluster, because you can freely transfer the workloads to other running clusters. Kubernetes multi-cluster environments enable you to isolate users and projects by cluster, simplifying the process. Additionally, badly configured applications in a namespace can consume more resources than expected, which impacts other applications in the cluster. Namespaces are also not great for isolation since any compromise in the namespace means that your cluster is also compromised. To achieve this kind of isolation, you require multiple Kubernetes environments.Ĭonventionally, using namespaces would be enough for discovery and isolation in a single cluster, but Kubernetes isn’t a direct multitenant system. It is common for projects to exist in dev, staging, and production environments. Using a Kubernetes multi-cluster setup can help with the following concerns. You can use it to deploy workloads spanning multiple regions for increased availability, eliminate cloud blast radius, prevent compliance issues, and enforce security around your clusters and tenants.Īs your environment grows, so do the potential issues you need to solve in order to align your cluster maintenance with your business needs. There are multiple use cases for a multi-cluster deployment. Why Use a Kubernetes Multi-Cluster Setup? It also enables you to better coordinate the planning, delivery, and management of these environments.Ī key feature of multi-cluster Kubernetes architecture is that each cluster is highly independent, managing its internal state for maximum resource provisioning and service configuration.
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This type of deployment enables more scalability, availability, and isolation for your workloads and environments. This allows you to provision your workloads in several clusters, rather than just one. The multiple clusters can be configured within a single physical host, within multiple hosts in the same data center, or even in a single cloud provider across different regions. In Kubernetes multi-cluster orchestration, platforms such as managed services help you to run workloads across multiple clusters and environments.
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Kubernetes works with clusters to efficiently run and manage workloads.
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What Is a Kubernetes Multi-Cluster Setup? Because this strategy can also make cluster management more difficult, it needs to be handled properly. In this type of implementation, an application’s infrastructure is distributed and maintained across multiple clusters. Multi-cluster architecture is a strategy for spinning up several clusters to achieve better isolation, availability, and scalability. Even with the rise in containerized deployments on Kubernetes and other platforms, admins still must determine how to efficiently manage hundreds and thousands of clusters for various projects.Ĭommon concerns for an organization’s project deployments include how to run multiple workloads and whether a cluster is large enough to handle the work.Ī Kubernetes multi-cluster setup can solve these problems. Developers who work in fast-paced environments face the risk of infrastructure sprawl in their VMs or servers.