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An open source system for automating deployment, scaling, and management of containerized applications.
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Kubernetes is an open source container orchestration engine that automates deployment, scaling, and management of containerized applications, supporting on-premises, hybrid, and public cloud environments.
Updated Oct 20, 2026.
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Kubernetes , also known as K8s, is an open source system for automating deployment, scaling, and management of containerized applications.
It groups containers that make up an application into logical units for easy management and discovery.
Designed on the same principles that allow Google to run billions of containers a week, Kubernetes can scale without increasing your operations team.
Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is.
Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.
Kubernetes progressively rolls out changes to your application or its configuration, while monitoring application health to ensure it doesn't kill all your instances at the same time.
Kubernetes gives Pods their own IP addresses and a single DNS name for a set of Pods, and can load-balance across them.
Automatically mount the storage system of your choice, whether from local storage, a public cloud provider, or a network storage system such as iSCSI or NFS.
Deploy and update Secrets and application configuration without rebuilding your image and without exposing Secrets in your stack configuration.
Automatically places containers based on their resource requirements and other constraints, while not sacrificing availability.
In addition to services, Kubernetes can manage your batch and CI workloads, replacing containers that fail, if desired.
Kubernetes restarts containers that crash, replaces entire Pods where needed, reattaches storage in response to wider failures, and can integrate with node autoscalers to self-heal even at the node level.
Scale your application up and down with a simple command, with a UI, or automatically based on CPU usage.
Automatically adjust resource requests and limits based on actual usage patterns.
Add features to your Kubernetes cluster without changing upstream source code.
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