What is kubernetes in aws
Organizations can choose to run EKS using AWS Fargate-a serverless compute engine for containers.
The result is a resilient AWS-managed Kubernetes cluster that can withstand even the loss of an availability zone. Unhealthy control plane nodes are detected and replaced, and patching is provided for the control plane. With Amazon EKS, the Kubernetes control plane-including the backend persistence layer and the API servers-is provisioned and scaled across various AWS availability zones, resulting in high availability and eliminating a single point of failure. Existing tools will more than likely work through EKS with minimal mods, if any. Through AWS EKS, normally cumbersome steps are done for you, like creating the Kubernetes master cluster, as well as configuring service discovery, Kubernetes primitives, and networking. Benefits of Amazon EKS: Why use AWS EKS?
#What is kubernetes in aws install#
Through Amazon EKS, organizations using AWS can get the full functions of Kubernetes without having to install or manage Kubernetes itself.
Through an abstraction layer created on top of a group of hosts, development teams can let Kubernetes manage a host of functions-including load balancing, monitoring and controlling resource consumption by team or application, limiting resource consumption and leveraging additional resources from new hosts added to a cluster, and other workflows. Kubernetes is an open-source system that allows organizations to deploy and manage containerized applications like platforms as a service (PaaS), batch processing workers, and microservices in the cloud at scale. To understand Amazon EKS better, let’s take a step back. Simply put, EKS is a managed containers-as-a-service (CaaS) that drastically simplifies Kubernetes deployment on AWS. Through EKS, organizations can run Kubernetes without installing and operating a Kubernetes control plane or worker nodes. What is Amazon EKS?Īmazon EKS is a managed service that helps make it easier to run Kubernetes on AWS. However, despite this option being a good one, the issue is that around two-thirds of Kubernetes workloads are in AWS. After that, you still need to filter your options when selecting the right network, user, storage, and logging integrations for your use cases.Īs a response to this challenge, Google Cloud has the Google Kubernetes Engine (GKE).
When running a Kubernetes cluster, one of the foremost challenges is deciding which cloud or datacenter it’s going to be deployed to. For the first installment, we’ll learn how it works and how organizations can get started with Amazon’s Elastic Kubernetes Service (AWS EKS). In this three-part series, we will take a hard look at Amazon’s Elastic Kubernetes Service: how it helps organizations run Kubernetes on AWS, what insights can be gained in EKS and how it’s monitored, and finally, how organizations can get the most out of EKS with the help of Sumo Logic.