Kubernetes is an open source container orchestration tool designed to automate deploying, scaling, and operating containerized applications. Kubernetes was born from Google’s 15-year experience running production workloads. It is designed to grow from tens, thousands, or even millions of containers. Kubernetes is container runtime agnostic. You actually use Kubernetes to manage Rocket containers today.
Kubernetes’ features provide everything you need to deploy containerized applications. Here are the highlights:

Container Deployments & Rollout Control. Describe your containers and how many you want with a “Deployment.” Kubernetes will keep those containers running and handle deploying changes (such as updating the image or changing environment variables) with a “rollout.” You can pause, resume, and rollback changes as you like.
Resource Bin Packing. You can declare minimum and maximum compute resources (CPU & Memory) for your containers. Kubernetes will slot your containers into where ever they fit. This increases your compute efficiency and ultimately lowers costs.
Built-in Service Discovery & Autoscaling. Kubernetes can automatically expose your containers to the internet or other containers in the cluster. It automatically load-balances traffic across matching containers. Kubernetes supports service discovery via environment variables and DNS, out of the box. You can also configure CPU-based autoscaling for containers for increased resource utilization.
Heterogeneous Clusters. Kubernetes runs anywhere. You can build your Kubernetes cluster for a mix of virtual machines (VMs) running the cloud, on-prem, or bare metal in your datacenter. Simply choose the composition according to your requirements.
Persistent Storage. Kubernetes includes support for persistent storage connected to stateless application containers. There is support for Amazon Web Services EBS, Google Cloud Platform persistent disks, and many, many more.
High Availability Features. Kubernetes is planet scale. This requires special attention to high availability features such as multi-master or cluster federation. Cluster federation allows linking clusters together so that if one cluster goes down containers can automatically move to another cluster.

These key features make Kubernetes well suited for running different application architectures from monolithic web applications, to highly distributed microservice applications, and even batch driven applications.

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