Kubernetes has revolutionized the way we manage and deploy containerized applications at scale. One of the key aspects of Kubernetes is its robust networking model, which ensures seamless communication between different components within and outside the cluster. In this blog post, we will dive deep into the world of Kubernetes networking, exploring its core concepts, components, and best practices to help you effectively manage and optimize your Kubernetes clusters. Kubernetes Networking Concepts Before diving into the details, let's understand some basic networking concepts in Kubernetes: Pod Network : Each pod in a Kubernetes cluster gets its own unique IP address, which is used for communication between containers within the pod and with other pods in the cluster. Service Network : Kubernetes services are used to expose pods to other pods or external clients. Services get their own IP addresses and can load balance traffic across multiple pods. Ingress : Ingress resources
Kubernetes High Availability Cluster: No Single Point of failure The basic Kubernetes architecture is described in the previous post . With Kubernetes, we are trying to achieve more reliability to our architecture. But what about the cluster components. So suppose, if we talk about the api-server, if we have only one api-server and if that node crashes, then the complete cluster will fail. So, in order to make the cluster components redundant, we need to ensure each component have their redundancies. Basically with high availability, we have two types of cluster : a) Stacked etcd: Basically, for any type of cluster(either stacked/external), we need at least 3 etcd instances(since it uses the concept of quoram). In this cluster, etcd storage is stacked on top of the other components of cluster. Here the local etcd member talks to only local api-server. api-server is exposed to worker-nodes via Load Balancers(like HAProxy). This approach is simpler to manage than external etcd but i