Kubernetes (K8s) is open source software that runs
your containers across a cluster of machines.

Scalable

Scale to match demand. Kubernetes adjusts the number of running instances automatically based on CPU, memory, or your own metrics, and grows from a single laptop to thousands of nodes without changing how you work.

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Resilient

Kubernetes keeps your applications running, restarting containers that fail, rescheduling them when a node goes down, and routing traffic only to instances that are ready. Recovery happens automatically, often before anyone notices.

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Portable

Run the same way on a laptop, on-premises, or across public clouds. Kubernetes is open source with no vendor lock-in, so you can move workloads to wherever makes the most sense.

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Extensible

Kubernetes is a platform to build on. Define your own resource types, automate operations with custom controllers, and draw on a vast ecosystem of tools, all through the same API, without forking the core.

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Kubernetes Features

Automated rollouts and rollbacks

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. If something goes wrong, Kubernetes will rollback the change for you. Take advantage of a growing ecosystem of deployment solutions.

Service discovery and load balancing

No need to modify your application to use an unfamiliar service discovery mechanism. Kubernetes gives Pods their own IP addresses and a single DNS name for a set of Pods, and can load-balance across them.

Storage orchestration

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.

Secret and configuration management

Deploy and update Secrets and application configuration without rebuilding your image and without exposing Secrets in your stack configuration.

Automatic bin packing

Automatically places containers based on their resource requirements and other constraints, while not sacrificing availability. Mix critical and best-effort workloads in order to drive up utilization and save even more resources.

Batch execution

In addition to services, Kubernetes can manage your batch and CI workloads, replacing containers that fail, if desired.

Self-healing

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.

Horizontal scaling

Scale your application up and down with a simple command, with a UI, or automatically based on CPU usage.

Vertical scaling

Automatically adjust resource requests and limits based on actual usage patterns.

IPv4/IPv6 dual-stack

Allocation of IPv4 and IPv6 addresses to Pods and Services

Designed for extensibility

Add features to your Kubernetes cluster without changing upstream source code.

Case Studies

Babylon Case Study

"Kubernetes is a great platform for machine learning because it comes with all the scheduling and …"

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Booz Allen Case Study

"Kubernetes is a great solution for us. It allows us to rapidly iterate on our clients' demands. "

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Booking.com Case Study

"We realized that we needed to learn Kubernetes better in order to fully use the potential of it. At …"

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AppDirect Case Study

"We made the right decisions at the right time. Kubernetes and the cloud native technologies are now …"

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