The master … So the second piece of our puzzle is etcd. The Kube-api-server is an API use by every components of the master components. Kube proxy, the container network interface and kube DNS will then ensure that the created pods have network access and can communicate with other pods on the node and in the cluster. So the controller manager consists of a number of different daemon processes, just control loops. Containers vs. Containerized Applications? It also ensures that every container is working healthily. If a pod fails, it may be rescheduled on any worker node following the same procedure. The master node has various components, such as: It does reads from etcd and does writes from etcd. The CNI creates virtual networks across the whole cluster to allow containers and pods to communicate regardless of what node they run on. Now there are a number of different controllers running within the controller manager, and this system is actually explained really well by my colleague Scott [Low 00:04:18] in his video on Kubernetes concepts and control loops. So it’s important to note that the API server is the only thing that talks to etcd. Etcd is a distributed key value data store. A cluster is a set of machines, called nodes, that run containerized applications managed by Kubernetes. The architectural concepts behind Kubernetes. A cluster has at least one worker node and at least one master node. That’s all the components that make up a system and how they work together to do what we want them to do. The Components of Kubernetes Architecture There are mainly two components of the architecture: Master nodes (Also known as Control Plane) Worker nodes (Also known as … So everything talks to etcd via the API server. In case of a node failure, it will spin up new pods on the remaining nodes to match the wanted replica count. It also does a little bit of validation on your resources that you deploy to it, so kubectl or client-side libraries also do client-side validation to make sure they’re not just sending garbage to the API server, but the server does a little bit of validation, too. This is also where credentials required to authenticate the requests you send to the API are stored. Master components provide the cluster’s control plane. And that’s really just a fancy way of saying it keeps all the data in sync between the three nodes. In most cases, it is docker, but Kubernetes offers support for other Container Runtimes such as rkt or containerd. And this is the main entry point to the cluster. They host several system pods that allow them to communicate with master nodes, and run user applications in pods. We first look at the architecture at a high level, and then we drill down into each of these components. But kube-proxy really watches the Kubernetes API server, and by extension etcd, for new services and it program’s iptables rules on all of the nodes so that pods can talk to each other via their IP addresses. Under worker nodes, we cover details about kubectl, kubelet, and kube-proxy. So kube-proxy is a piece which runs as a daemon set on all of our nodes. And if you’ve installed those via kubeadm, they’re probably running as pods or containers. How to share a filesystem on AWS EKS with EBS volumes? So why does that happen? The Kubernetes DNS Service allow pods to communicate with each other using their name or FQDN (Fully Qualified Domain Name) instead of their local IP. His role is to support companies in the success of their Cloud & Kubernetes migrations. Control Plane-Node Communication. They could run collocated with a control plane in what we call a stacked configuration, but we like to run them separately because they have a slightly different backup, restore, and performance profile. The top one, the control plane, and that runs the three main components that control Kubernetes. And you can have any number of those connected to your cluster within reason. The API server is the central part of the Kubernetes Control Plane, it is a REST API which is the entrypoint to issue commands to the cluster. A Kubernetes cluster consists of a set of worker machines, called nodes A node is a worker machine in Kubernetes., that run containerized applications. A running Kubernetes cluster contains node agents (kubelet) and master components (APIs, scheduler, etc), on top of a distributed storage solution.This diagram shows our desired eventual state, though we're still working on a few things, like making kubelet itself (all our components, really) run within containers, and making the scheduler 100% pluggable. Kubernetes Architecture and Concepts. You’ve configured your cluster to run a certain way. The master node is the most vital component of Kubernetes architecture. Now there’s one other piece of the puzzle. The scheduler is looking at at etc, again via the API server, to say, “Hey, do you have any pods that haven’t been scheduled yet? So the first component that we want to look at is our API server. Do you have any pods that are waiting to go somewhere?” It will read that out and it’ll say, “Hey, yeah, like I’ve got three pods, maybe that need to be scheduled.” It’ll take things into account like taints and tolerations where the pods should be scheduled, availability zones maybe, and then it’ll write the name of a node into that pod and it will again write it back to etc. It also reports to the master the health of the node. When you deploy Kubernetes, you get a cluster. So the runtime kubelet and Docker, right, so we need a container run time, so Docker or Containerd. This is etcd, which is a distributed key value store. Post your questions in the Kubernetes community Slack. The applications can vary in sizes: from hundreds to thousands of nodes. If you’re more used to a VM-centric view of the world, you can think of our control plane like vCenter and our nodes like ESXi hosts. ETCD is a high availability key value data store where the API stores the state of the cluster. Join the discussion here. With Kubernetes, it is possible to execute various workloads in a scalable, flexible, and reliable way. So it’s not actually telling a node to do anything at this point. Every cluster has at least one worker node. So you can kind of think of the kubelet a little bit as a control loop as well. Uses the Raft algorithm to do leader election, low replication. And you can see all of them listed out. The Container Runtime is the service that runs containers. The scheduler monitors the available resources on the different worker nodes and schedules pods and other Kubernetes resources to nodes in consideration of this. The first requirement of each node is Docker which helps in running the encapsulated application containers in a relatively isolated but lightweight operating environment. Kubernetes Architecture. The worker node (s) host the pods that are the components of the application. Kubernetes hides the complexity of managing containers and being flexible in nature, can be run on bare metal machines and various public or private cloud platforms. On the worker nodes, Kubelet will receive the description of its scheduled pods and will notify the container runtime to run them. This lesson will walk through what each component does and how they work together. GitHub CLI 1.0: How to use the first command line interface, Newsletter #14 : Helm, Operators, Kubernetes, Docker, IOT. Send your thoughts to KubeAcademy@VMware.com. Like I said, these usually run on three separate nodes to the control plane. … Cloud Controller Manager. Cluster Architecture. Advancing to the next lesson in 5 seconds…. This is where your actual workloads are going to run. The worker nodes form a cluster-level single deployment platform for Kubernetes resources. Welcome to KubeAcademy. And it will do some magic with NAT and conntrack and things like that. We want to hear it! And they’re watching etcd via the API server and taking action when they see something they should do. We are going to focus on Kubernetes Architecture and what are control plane components and their fuctionality. Create your own profile on KubeAcademy to track your progress, save your favorite courses and lessons, earn achievements, partake in discussions, and more. It oversees nodes leaving and joining the cluster and ensures the current state of the cluster is always in check with the desired state stored in ETCD. I’m going to put that link in the show notes. Kubernetes (also known as k8s) is a platform for automating deployment, scaling, and management of containerized applications. Now we actually need to pick something up and run it. Kubernetes Architecture and Components Kubernetes has a decentralized architecture that does not handle tasks sequentially. Kubernetes architecture In this blog, we will discuss Kubernetes architecture and the moving parts of Kubernetes and also what are the key elements, what are the roles and responsibilities of them in Kubernetes architecture. when a deployment’s replicas field is unsatisfied).Master components can be run on any machine in the cluster. Kube-api-server¶ Kube-api-server is a critial component of the Kubernetes architecture. So we can see we’ve got certificates, cron jobs, daemon sets, deployments, replica sets, these controllers control the life cycle of all of those different resources. Have feedback about this course or lesson? A Pod represents a set of running containers on your cluster. Now what actually happens? There’s a really great article that called Secret Lives of Data on how the Raft algorithm and then etcd actually works. So if I have authenticate as John, can John do deployments in the namespace that I care about? This lesson will walk through what each component does and how they work together. These services run as pods in the "kube-system" namespace. Not yet a part of the Kubernetes Slack community? So once we’ve deployed … Once we’d done our kubectl deploy to our API server, the API server does it serialization, it writes that data to etcd. That’s where actual all the work happens. Kubernetes Architecture: An Introduction to Kubernetes Components. Conceptual Architecture of Kubernetes — Image by Author. Kubelet communicates with the API and applies the resources configuration on the node. This tutorial walks you through the Kubernetes architecture and the control plane and worker node components. It explains the architecture and features like api-server, scheduler, etcd, and control manager. Nodes. The scheduler ensures the workload is evenly balanced across the cluster. My name is John Harris, and I’m a Senior Cloud Native Architect at VMware. It communicates with the different components of the master and the worker nodes to apply the user-desired state. Kubernetes is an open-source platform for deploying and managing containers. First introduced in 2014 by Google, and now maintained by the Cloud Native Computing Foundation, Kubernetes is a powerful and popular container orchestration system built on a cluster architecture. My name is John and I'm a Senior Cloud Native Architect @ VMware where I work with customers to help design and implement Kubernetes solutions, in addition to contributing back to upstream open source projects. The API server, the scheduler, and the controller manager. We’re going to look at the architecture of Kubernetes through the lens of doing a deployment. The Controller Manager handles cluster orchestration. So if etcd via the API server tells kubelet, “Hey, there’s three pods which are scheduled to you,” kubelet will look at itself and say, “Hey, I don’t have any pods running, so I need to schedule those.”. Kubernetes is made up of a number of components across control and workload planes. As it ensures pods run according to configuration, the Kubelet agent also runs on master nodes. So there’s a deployment controller in here which is looking at etcd via the API server saying, “Hey, there’s a new deployment, I got to do something.” Now if you’ve ever run a deployment in Kubernetes, you’ll know that that creates a replica set, but you didn’t create that. And we usually run three of those for high availability. So kubelet is the piece which talks to the API server and then by extension etcd to figure out what pods are running on it or should be running on it and then interacts with the container run time on that node to actually reconcile that state. Iptables is used to satisfy services in Kubernetes. Kubernetes is an architecture that offers a loosely coupled mechanism for service discovery across a cluster. C ontainers have become the definitive way to develop applications because they provide packages that contain everything you need to run your applications. Kubernetes Architecture Kubernetes is made up of a number of components across control and workload planes. Firstly, it’s serves the Kubernetes API, obviously. It’s just changing information then writing things back into etc. It’ll then do authorization. Now this is the state store for Kubernetes, so this is the thing we really care about. The third part of our control plane. And that’s all inside iptables. Kubernetes’ Architecture: understanding the clusters' structure, Architecture of a master node : the kube-system pods, HashiCorp has released Terraform 0.14: my experience. Hey, everyone. But kube-proxy is the component that’s responsible for programming, and that’s why it has to run on every single node. On the bottom right is our data or persistence layer. Master components make global decisions about thecluster (for example, scheduling), and they detect and respond to cluster events (for example, starting up a new podThe smallest and simplest Kubernetes object. We see what their roles and responsibilities are and how they are configured. All right, let’s dive in. So we need kubelet and we need some kind of container run time like Docker or Containerd. Wherein, we have master installed on one machine and the node on separate Linux machines. The API will store this configuration in the ETCD, and the Sheduler will assign your application pods to worker nodes. Controllers. These master components are pretty much the brain of the Cluster and therefore are critical components to Kubernetes. But then there’s authentication to make sure we are who we say we are using one of the various authentication methods. It is the entry point of all administrative tasks. What are Kubernetes Clusters vs. This is what you interact with when you write `kubectl` commands. The Kubernetes Service Proxy acts as a load balancer. So one other component here which runs on all of our nodes, actually, if you’re running kubeadm, because they need to run everywhere we need networking, and that’s kube-proxy. Time like Docker or Containerd infrastructure orchestration, container-centric infrastructure orchestration, container-centric infrastructure orchestration, container-centric infrastructure orchestration container-centric. More information you interact with when you deploy your containerized application on a Kubernetes cluster usually! This tutorial walks you through the Kubernetes features and its importance in the etcd, and control.. 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