What is kubernetes

What is Kubernetes? Kubernetes is an open source orchestration system for automating the management, placement, scaling and routing of containers that has become popular with developers and IT operations teams in recent years. It was first developed by Google and contributed to Open Source in 2014, and is now maintained by the Cloud Native Computing Foundation. There is an Build Kubernetes-ready applications on your desktop Docker Desktop is an application for MacOS and Windows machines for the building and sharing of containerized applications and microservices. Docker Desktop delivers the speed, choice, and security you need for designing and delivering these containerized applications on your desktop. Docker Desktop includes Why use Kubernetes? Kubernetes has become the standard orchestration platform for containers. All the major cloud providers support it, making it the logical choice for organizations looking to move more applications to the cloud. Kubernetes provides a common framework to run distributed systems so development teams have consistent, immutable infrastructure from development to production for every project. Kubernetes can manage scaling requirements, availability, failover, deployment patterns, and more. Kubernetes’ capabilities include: • Service and process definition • Service discovery and load balancing • Storage orchestration • Container-level resource management • Automated deployment and rollback • Container health management • Secrets and co...

Kubernetes automates and streamlines deployment, load balancing, horizontal scaling, rollouts and rollbacks, and self-healing of containerized apps to help you accelerate app releases, improve resource utilization efficiency, achieve production readiness, and meet business SLAs. In Kubernetes, containerized apps run inside pods, which are the smallest deployable units that run on nodes. Nodes form a cluster where compute, storage, and network resources are combined, shared, and coordinated across pods. Pods are grouped together in a deployment and presented as a service to clients or other applications and services. Apps inside a Kubernetes cluster can be accessed from outside using Because of its popularity, completeness, and ability to automate tasks and adapt to needs, Kubernetes has become the de facto standard for container orchestration and management. For production deployments, organizations often use cloud-managed Kubernetes platforms and pre-packaged Kubernetes distributions such as For more information on Kubernetes, see our How NGINX Can Help • • • Get started by requesting your

Before working with popular Container Network Interface (CNI) plugins such as Calico, Flannel and Cilium, it's important to get familiar with the basics of Kubernetes networking. Explore networking's role in Kubernetes deployments, best practices and potential challenges. How Kubernetes networking works Kubernetes is a container orchestration platform that manages scheduling, deployment, monitoring and ongoing operation of virtualized containers across computer clusters, on premises or in the cloud. Kubernetes' open source code has become the foundation for many container management platforms, such as Amazon Elastic Kubernetes Service, Red Hat OpenShift and SUSE Rancher. A Kubernetes deployment consists of the following major elements: • Pod. A pod is a • Services. Kubernetes provides several dedicated services, including a proxy and load balancer, for traffic management between pods. • Worker node. A worker node is a server that hosts pods and runs services such as kubelet, etcd and kube-proxy. A worker node can host one or more pods. • Control node. The control or primary node is a server that manages all the worker nodes and pod deployments across a Kubernetes cluster. The elements of a Kubernetes deployment depend on networking for control and communication. Kubernetes relies on The infrastructure network enables communication between the control plane and worker nodes in a Kubernetes cluster. Kubernetes networking typically involves four main communication operations:...

• • Home • Available Documentation Versions • Getting started • Learning environment • Production environment • Container Runtimes • Installing Kubernetes with deployment tools • Bootstrapping clusters with kubeadm • Installing kubeadm • Troubleshooting kubeadm • Creating a cluster with kubeadm • Customizing components with the kubeadm API • Options for Highly Available Topology • Creating Highly Available Clusters with kubeadm • Set up a High Availability etcd Cluster with kubeadm • Configuring each kubelet in your cluster using kubeadm • Dual-stack support with kubeadm • Installing Kubernetes with kOps • Installing Kubernetes with Kubespray • Turnkey Cloud Solutions • Best practices • Considerations for large clusters • Running in multiple zones • Validate node setup • Enforcing Pod Security Standards • PKI certificates and requirements • Concepts • Overview • Objects In Kubernetes • Kubernetes Object Management • Object Names and IDs • Labels and Selectors • Namespaces • Annotations • Field Selectors • Finalizers • Owners and Dependents • Recommended Labels • Kubernetes Components • The Kubernetes API • Cluster Architecture • Nodes • Communication between Nodes and the Control Plane • Controllers • Leases • Cloud Controller Manager • About cgroup v2 • Container Runtime Interface (CRI) • Garbage Collection • Containers • Images • Container Environment • Runtime Class • Container Lifecycle Hooks • Workloads • Pods • Pod Lifecycle • Init Containers • Disruptions • Ephemera...

The design of a Kubernetes cluster is based on 3 principles, as explained in the A Kubernetes cluster should be: • Secure. It should follow the latest security best-practices. • Easy to use. It should be operable using a few simple commands. • Extendable. It shouldn’t favor one provider and should be customizable from a configuration file. Control plane Let’s begin in the nerve center of our Kubernetes cluster: The control plane. Here we find the Kubernetes components that control the cluster, along with data about the cluster’s state and configuration. These core Kubernetes components handle the important work of making sure your containers are running in sufficient numbers and with the necessary resources. The control plane is in constant contact with your compute machines. You’ve configured your cluster to run a certain way. The control plane makes sure it does. kube-apiserver Need to interact with your Kubernetes cluster? Talk to the API. The kube-scheduler Is your cluster healthy? If new containers are needed, where will they fit? These are the concerns of the Kubernetes scheduler. The scheduler considers the resource needs of a pod, such as CPU or memory, along with the health of the cluster. Then it schedules the pod to an appropriate compute node. kube-controller-manager Controllers take care of actually running the cluster, and the Kubernetes controller-manager contains several controller functions in one. One controller consults the scheduler and makes sure the c...

Kubernetes works by managing a cluster of compute instances and scheduling containers to run on the cluster based on the available compute resources and the resource requirements of each container. Containers are run in logical groupings called pods and you can run and scale one or many containers together as a pod. Kubernetes control plane software decides when and where to run your pods, manages traffic routing, and scales your pods based on utilization or other metrics that you define. Kubernetes automatically starts pods on your cluster based on their resource requirements and automatically restarts pods if they or the instances they are running on fail. Each pod is given an IP address and a single DNS name, which Kubernetes uses to connect your services with each other and external traffic. Because Kubernetes is an open-source project, you can use it to run your containerized applications anywhere without needing to change your operational tooling. Kubernetes is maintained by a large community of volunteers and is always improving. Additionally, many other open-source projects and vendors build and maintain Kubernetes-compatible software that you can use to improve and extend your application architecture. AWS makes it easy to run Kubernetes.You can choose to manage Kubernetes infrastructure yourself with Amazon EC2 or get an automatically provisioned, managed Kubernetes control plane with Amazon EKS. Either way, you get powerful, community-backed integrations to AWS ...

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