![]() Kubernetes cannot know all about every stateful, complex, clustered application. Think of scaling nodes up, or upgrading to a new version, or disaster recovery for your stateful application - these kinds of operations often need very specific steps, and typically require manual intervention. Using existing default objects, types, and controllers in Kubernetes, this would be impossible to achieve. If a majority of nodes go down, you’ll need to reload the database from a specific snapshot following specific steps. For example, say you have a stateful workload, such as a database application, running on several nodes. However, Kubernetes can’t automate the process natively for stateful applications. It can speed up your development process by making easy, automated deployments, updates (rolling update), and by managing your apps and services with almost zero downtime. Out of the box, you get lots of built-in automation from the core of Kubernetes. These default objects make it much easier for DevOps and SRE engineers to fully express their workloads without the need to learn how to write code in a programming language like Python, Java, or Ruby. Thanks to "Infrastructure as data" (specifically, YAML), today you can express all your Kubernetes resources such as Pods, Deployments, Services, Volumes, etc., in a YAML file. Kubernetes is popular due to its capability to deploy new apps at a faster pace. ![]() Kubernetes Operator: What It Is and Why You Should Really Care About It
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