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This article introduces the knowledge of "what is Kubernetes Operator". In the operation of actual cases, many people will encounter such a dilemma. Then let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Kubernetes can automatically create a complex cloud infrastructure to simplify the process of managing deployments on the cloud.

Although Kubernetes provides many tools, efforts are still being made to make cloud infrastructure management more scalable and automated. Kubernetes Operator is a way to encapsulate, deploy, and manage Kubernetes applications, extending the capabilities of Kubernetes API to automate the creation, configuration, and management of instances of complex applications for Kubernetes users without having to rely on manual input every time.

Learn about Kubernetes Operators

Operator is an extension of Kubernetes, which uses custom resource management applications and their components.

Operator follows the philosophy of Kubernetes, especially when it comes to controllers.

Kubernetes Operators is the business process framework. It is a tool that allows you to orchestrate and maintain cloud infrastructure with little human effort. Kubernetes defines Operators as a software extension designed to leverage custom resources to manage applications and their components.

Kubernetes Operators is not complicated at all. Operators uses controllers and Kubernetes API to handle the packaging, deployment, management, and maintenance of applications and their required custom resources. The whole process is fully automated, and you can still use kubectl tools for commands and operations.

In other words, Operators is basically a custom Kubernetes controller that integrates custom resources. You can define parameters and configurations directly in custom resources, and then let Operators convert these parameters and run them automatically. The continuity of Kubernetes Operators is the decisive factor.

Operators is more than just deployment

Kubernetes Operators can do more than automate the deployment of applications. In fact, Operators can handle anything as long as the logic and parameters are defined correctly. Yes, this includes extending the application and the cloud infrastructure it uses, upgrading and checking for failures, and keeping the application running smoothly for a long time.

The entire application lifecycle can be automated. Kubernetes can manage and extend stateless applications such as Web applications, mobile backends, and API services without any additional knowledge of how these applications work. The built-in capabilities of Kubernetes handle these tasks easily.

However, stateless applications such as databases and monitoring systems require domain-specific knowledge other than Kubernetes. With this knowledge, you will be able to extend, upgrade, and reconfigure these applications.

Kubernetes Operator encodes these domain-specific knowledge into Kubernetes extensions, thus enabling application lifecycle management and automation.

For example, you can write site Reliability Engineering (SRE) rules and parameters to Kubernetes Operators and let Operators handle the operation for you. This standardizes SRE practices and repeats operations across multiple clusters. There is no need to manually adjust the parameters each time you deploy and upgrade.

Imitate the behavior of operation and maintenance personnel

The real strength of Kubernetes Operators lies in their ability to understand how applications or services should work.

Kubernetes Operators can use the same knowledge embedded in the Operators itself to perform the necessary tasks. For example, when cloud resources are not configured for the application during the update, Kubernetes Operators can automatically correct the problem without alerting.

Operation and maintenance teams usually write software to manage applications, but the Operator model can capture the rules of how operators manage services, and can acquire human operation and maintenance knowledge and code it into the software to manage and deploy Kubernetes workloads while eliminating manual tasks.

What can Operators do?

To better understand what Operators can do, we need to study some scenarios that use Operators. Things that can be automated with Operator include:

Deploy applications on demand

Get / restore a backup of the application status

Handle application code upgrades and related changes. For example, database schema or additional configuration settings

Publish a service that requires applications that do not support Kubernetes API to find it

Simulate faults in the whole or part of the cluster to test its stability

Select a leader role for a distributed application without an internal member election program

These tasks usually require a lot of human input. When simulating a failure, Operators needs to manually trigger errors in some parts of the application and then monitor the output to mark the point of failure. Operators automates the process to save a lot of time and resources, and undoubtedly allows developers or operators to focus on other more important tasks.

Most importantly, Operators can handle specific and complex situations. For example, you can use Operators to deploy resources and configure them to be discoverable by a small number of services or Pod. Operators can check the control plane of the resource and adjust it as needed. Using Kubernetes API, it can also grab snapshot information or perform updates.

You can also encode more parameters into the process. For example, you can seamlessly update by deploying a new resource, telling the cluster to use it, and then deleting StatefulSet and persistent volumes to prevent the entire application from downtime.

Use Operators

Deploying Operators is easier than you think. You only need to define a "custom resource" and its controller for the cluster, and everything is ready. The real challenge is to find the Operators that suits your specific needs. When you start using Operators, the kubectl command can be used to perform certain actions.

You can use kubectl get resourceName to find the configured resourceName. You can then run kubectl edit resourceName/example-resource to change the resource. You can use Operators to make any type of changes to the cluster, including advanced configuration changes as needed. You can even extract ready-made Operators from some repositories.

Of course, if you want your Operators to handle specific functions, you can always code it. By creating an Operators as a Kubernetes API client, you can access more functions and automate each deployment, management, and maintenance task. You can also use tools such as kubebuilder and Operator Framework.

That's all for "what Kubernetes Operator is". Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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