Pods are usually replicated when applications have to be scaled up to handle more traffic.įrom the viewpoint of a cluster, a set of replicated pods constitute a single application instance, although this may actually mean dozens of instances of itself. It is usually a single running process encapsulating a container or, sometimes, many closely coupled containers.
A cluster has one master node that manages the whole cluster, and many other worker nodes running the actual application instances inside Kubernetes objects referred to as pods.Ī pod is the basic building block of a Kubernetes cluster. This cluster is a collection of either physical/virtual machines known as nodes that run containerized applications. When you deploy an application to Kubernetes, it means that you are deploying the application to a Kubernetes cluster. This is only a small example that reveals the power of Kubernetes. However, another method is to run a short command of just one line that will get Kubernetes to do it for you. You can do this by destroying and redesigning these containers. As an example, imagine that you have to send a Docker image to about two dozen different containers. It is also easy to roll out updates on a large scale and other such jobs that are otherwise very tedious. Kubernetes helps in deployment, scheduling, mass deletion and creation of containers. It may be easy to manage a small number of containers, even with a small team in place, but managing hundreds of containers can be a real challenge, even for experienced developers. It is not an easy job to manage individual containers.
#What is kubernetes microservices how to
In this article we attempt to explain how to deploy and scale up Kubernetes microservices in the cloud. It is a major tool as containers have now evolved to be a part in every system of a continuous delivery pipeline. Basically, it helps automate tasks that help in the deployment, management, and scaling of containerized applications. Kubernetes is an open-source orchestrator for containers.
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