In both cases, pods communicate over a cluster-wide pod network, managed by a CNI provider like Flannel or Calico. Contino Consultant Marcus Maxwell takes you through a high-level overview of Kubernetes - a leading open-source container orchestration tool. This allows applications to target other services or pods in the cluster via a simple and consistent naming scheme. Discovering services is a crucial part of a healthy Kubernetes environment, and Kubernetes heavily relies on its integrated DNS service (either Kube-DNS or CoreDNS, depending on the cluster version) to do this. You are free to select the operating system, runtime for the container, integration tooling, storage, application services, and … Most resources contain metadata, such as labels and annotations, desired state (specification) and observed state (current status). How the key parts of the Kubernetes platform architecture-such as services, service meshes and runtimes fit together and interact with one another, Opportunities and benefits for Kubernetes on-prem, Considerations for running DIY Kubernetes on-prem, Infrastructure requirements and best practices for on-prem DIY Kubernetes implementation, Scaling CI/CD Jenkins Pipelines with Kubernetes, Best Practices to use Kubernetes for CI/CD at scale. Storage survives pod restarts, but what happens after pod deletion is dependent on the specific storage type. It will spin up a load balancer per service on the cloud environment, which can be expensive. Instead, calculating the number of nodes to include in a cluster requires careful consideration of a variety of factors. To secure Kubernetes effectively for real-world deployment, you must understand which built-in security features Kubernetes offers and which it doesn’t, and how to leverage Kubernetes’s security capabilities at scale. Access Clusters Using the Kubernetes API Access Services Running on Clusters Advertise Extended Resources for a Node Autoscale the DNS Service in a Cluster Change the default StorageClass Change the Reclaim Policy of a PersistentVolume Cloud Controller Manager Administration Configure Out of Resource Handling Configure Quotas for API Objects Control CPU Management Policies on the Node … Share. Access Clusters Using the Kubernetes API (EN) Access Services Running on Clusters (EN) Advertise Extended Resources for a Node (EN) Autoscale the DNS Service in a Cluster (EN) Change the default StorageClass (EN) Change the Reclaim Policy of a PersistentVolume (EN) Cloud Controller Manager Administration (EN) Configure Out of Resource Handling (EN) Configure Quotas for API Objects (EN) Control CPU Management Policies on the Node (EN) Control Topology Management Policies on a node … The Kubelet is the primary and most important controller in Kubernetes. Jenkins X builds upon the following core components: Kubernetes & Docker So, that’s the Kubernetes architecture in a simple fashion. They are key/value pairs that describe attributes, and can be used to organize and select subsets of objects. The applications can vary in sizes: from hundreds to thousands of nodes. Kubernetes uses the concept of volumes. Twitter: @edXOnline. Cluster-level logging architectures are described in assumption that a logging backend is present inside or outside of your cluster. Read more: Kubernetes Resource Limits: Kubernetes Capacity Planning. An example of a DNS record for a Kubernetes service: Namespaces are virtual clusters within a physical cluster. Kubernetes provides no native storage solution for log data, but you can integrate many existing logging solutions into your Kubernetes cluster. The most common ones are public cloud storage services, like AWS EBS and gcePersistentDisk, or types that hook into a physical storage infrastructure, like CephFS, Fibre Channel, iSCSI, NFS, Flocker or glusterFS. How that directory comes to be, the medium that backs it, and its contents are determined by the particular volume type used. Depending on the current usage of the PV, it can have different phases or states: available, bound (unavailable to others), released (needs manual intervention) and failed (Kubernetes could not reclaim the PV). Thanks for the feedback. So does the number of namespaces, in a way. What is Kubernetes – key definitions and concepts. Storage in a pod can be consumed by any containers in the pod. Read more: Kubernetes as an On-Premises “Operating System”. Understand Pods, the smallest deployable compute object in Kubernetes, and the higher-level abstractions that help you to run them. In this two-blog post, I have covered the Kubernetes architecture and its components. Labels distinguish resources within a single namespace. Kubernetes Cluster Sizing – How Large Should a Kubernetes Cluster Be? PersistentVolumes (PVs) tie into an existing storage resource, and are generally provisioned by an administrator. ... Kubernetes Concepts 4:48. Kubernetes follows a client-server architecture, it’s possible to have a multi-master setup, by default there is a single master server which acts as a controlling all nodes. On the next posts we’ll dive deeper into the Kubernetes deployments on different types of infrastructure, Kubernetes use cases, and best practices for operating Kubernetes in Production, at scale. Estimated reading time: 2 minutes Concepts Architecture. Jenkins X builds upon the DevOps model of loosely-coupled architectures and is designed to support you in deploying large numbers of distributed microservices in a repeatable and manageable fashion, across multiple teams. As a tenet of its design, Kubernetes uses lots of controllers that each manage a particular aspect of cluster state. Understanding Kubernetes Architecture In one sentence, Kubernetes is a platform to orchestrate the deployment, scaling, and management of container-based applications. Ingress enables configuration of resilience (time-outs, rate limiting), content-based routing, authentication and much more. Kubernetes Concepts. Concepts The Concepts section helps you learn about the parts of the Kubernetes system and the abstractions Kubernetes uses to represent your cluster, and helps you obtain a deeper understanding of how Kubernetes works. In this blog post you’ll learn Kubernetes’s security architecture and best practices for securing production Kubernetes deployments. It aims to reduce the burden of orchestrating underlying compute, network, and storage infrastructure, and enable application operators and developers to focus entirely on container-centric workflows for self-service operation. You'll deploy a Kubernetes cluster using Google Kubernetes Engine and deploy Pods to a GKE cluster. This inherent transience creates the problem of how to keep track of which pods are available and running a specific app. In Kubernetes, scheduling refers to making sure that Pods are matched to Nodes so that the kubelet can run them. Try the Course for Free. Introduction to Kubernetes. Controllers work to drive the actual state toward the desired state. This #Kubernetes tutorial is the first video of the Kubernetes Administration course at Duckademy. The dashboard is meant as a general-purpose web frontend to quickly get an impression of a given cluster. To learn more about Kubernetes in the Enterprise, download the complete guide now. Pods can communicate with each other using the pod IP address, which is reachable across the cluster. From a high level, a Kubernetes environment consists of a control plane (master), a distributed storage system for keeping the cluster state consistent (etcd), and a number of cluster nodes (Kubelets). The master nodes are responsible to manage the Kubernetes cluster by storing information of nodes, planing containers deployments etc. The need for proper resource planning is amplified within a Kubernetes cluster, as it does hard checks and will kill and move workloads around without hesitation and based on nothing but current resource usage. Different ways to change the behavior of your Kubernetes cluster. This does not mean, however, that bigger is always better. 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