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kubernetes

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Kubernetes is an open-source container orchestration platform developed by Google. It automates the deployment, scaling, and management of containerized applications. It provides a framework for defining and managing application services, routing network traffic, and distributing work across a cluster of servers.

Kubernetes abstracts the underlying infrastructure and allows developers to focus on writing and deploying applications. It also enables applications to be easily scaled up or down by changing the number of instances running in the cluster. Kubernetes provides features such as automated rollouts and rollbacks, self-healing capabilities, service discovery and load balancing, and secret and configuration management.

The key components of Kubernetes include the following:

  1. Master Node: The control plane of Kubernetes that manages the cluster. It includes components like the API server, controller manager, scheduler, and etcd.

  2. Node: A worker machine in Kubernetes where containers and their associated pods are deployed. Each node runs services such as kubelet (agent that communicates with the master node) and a container runtime (e.g., Docker) for running containers.

  3. Pod: The smallest unit of deployment in Kubernetes. It represents a group of one or more containers that share the same network namespace, IP address, and storage volumes.

  4. ReplicaSet: A controller that ensures a specified number of pod replicas are running in the cluster. It allows for scaling applications up or down based on demand.

  5. Deployment: A higher-level controller that manages ReplicaSets and provides features like rolling updates and rollback capabilities.

  6. Service: An abstraction that defines a set of pods and a policy for accessing them. It provides a stable network endpoint for accessing the pods, allowing for load balancing and service discovery.

Kubernetes has gained popularity due to its scalability, fault tolerance, and flexibility. It supports different container runtimes, storage systems, and cloud providers, making it a versatile platform for running containerized applications in production environments.

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