Kubernetes

Progressively rolls out changes to your application or its configuration while monitoring application health to ensure it doesn't kill all instances at the same time. Automatically rolls back changes if something goes wrong.

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

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.

Allocation of IPv4 and IPv6 addresses to Pods and Services.

Kubernetes gives Pods their own IP addresses and a single DNS name for a set of Pods, and can load-balance across them without requiring application modification.

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 at the node level.

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

Designed on the same principles that allow Google to run billions of containers a week, Kubernetes can scale without increasing your operations team.

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.

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

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.

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