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With Kubermatic Kubernetes Platform, we extend the Operators paradigm beyond applications to manage the clusters themselves. How Do We Use Kubernetes Operators to Do Multi-Cluster Management? a well built operator covers the complete lifecycle of a containerized software. This allows developers to codify life cycle management knowledge for applications that need to maintain state and thereby automates much of the ongoing management including deployments, backups, upgrades, logging, and alerting by simply watching events and leveraging the reconciliation loops built into Kubernetes. An Operator has its custom controller watching the custom resources specifically defined for the applications. A Kubernetes application is an application that is both deployed on Kubernetes and managed using the Kubernetes APIs and kubectl tooling. More technically, as CoreOS, who introduced the first Kubernetes Operator in 2016, notes: An Operator is a method of packaging, deploying and managing a Kubernetes application.
#What is kubernetes operator how to#
What Is a Kubernetes Operator?Īn Operator is a piece of software that understands how to run and facilitates operating another piece of software. At Kubermatic, we have chosen to do multi-cluster management with Kubernetes Operators. For this reason, any operator considering running Kubernetes at scale should carefully evaluate their multi-cluster management strategy. Running a multitude of clusters is a massive operational challenge if done manually. If running multiple clusters is the only solution to meeting these workload and infrastructure requirements, the operational burden of this model must also be considered.
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Applications deployed into the same cluster can be upgraded together to reduce the operational load while applications that require different versions, configurations, and dependencies can run in separate clusters and be upgraded on their own. Having multiple clusters to deploy applications into also allows operators to deploy similar applications together while segregating those with different life cycles from each other.
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Without hard multi-tenancy within a cluster, separate clusters must be used to provide adequate separation for workloads with different security requirements. Finally, without proper isolation there is an increased risk of cascading failures. On the operational side, trying to deploy too many applications into the same cluster can result in version conflicts, configuration conflicts, and problems with software lifecycle management. When operators seek to separate workloads by type (sensitive vs nonsensitive data processing) or even just production vs non-production there is no way to do this on the cluster level creating a security nightmare.
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This presents both a security and operational problem. Kubernetes lacks hard multi-tenancy capabilities that give users, organizations, or operators the ability to allow untrusted tenants to share infrastructure resources or separate different pieces of software. This blog post will cover why you need multi-cluster management, how Kubermatic Kubernetes Platform leverages Kubernetes Operators to automate cluster life cycle management across multiple clusters, clouds, and regions and how you can get started with it today. Knowing that every company running Kubernetes at scale would need to effectively administer multi-cluster management, we created the open source Kubermatic Kubernetes Platform. Since then, these ideas have largely been validated by a variety of organizations around the world including the CNCF, Twitter, USA Today, Zalando, and Alibaba. In these early days, two things quickly became clear to us: 1) Kubernetes is not a single large cluster solution, but rather requires a larger number of smaller clusters 2) Kubernetes multi-cluster management needs cloud native tools built for a declarative, API driven world. We helped customers build clusters using Ansible, Terraform, and a variety of other non cloud native tools…and we helped them rebuild the clusters when we ran into the limits of these tools. At Kubermatic, we have been helping our customers deliver Kubernetes clusters and other cloud native solutions since before they were buzzwords.