Kubernetes is an open source container management system for deploying, scaling, and managing
containerized applications. Kubernetes is built by Google based on their internal proprietary container management
systems (Borg and Omega). Kubernetes provides a cloud agnostic platform to deploy your containerized applications with
built in support for common operational tasks such as replication, autoscaling, self-healing, and rolling deployments.
Helm is a package and module manager for Kubernetes that allows you to define, install, and manage
Kubernetes applications as reusable packages called Charts. Helm provides support for official charts in their
repository that contains various applications such as Jenkins, MySQL, and Consul to name a few. Gruntwork uses Helm
under the hood for the Kubernetes modules in this package.
Helm consists of two components: the Helm Client, and the Helm Server (Tiller)
What is the Helm Client?
The Helm client is a command line utility that provides a way to interact with Tiller. It is the primary interface to
installing and managing Charts as releases in the Helm ecosystem. In addition to providing operational interfaces (e.g
install, upgrade, list, etc), the client also provides utilities to support local development of Charts in the form of a
scaffolding command and repository management (e.g uploading a Chart).
What is the Helm Server?
The Helm Server (Tiller) is a component of Helm that runs inside the Kubernetes cluster. Tiller is what
provides the functionality to apply the Kubernetes resource descriptions to the Kubernetes cluster. When you install a
release, the helm client essentially packages up the values and charts as a release, which is submitted to Tiller.
Tiller will then generate Kubernetes YAML files from the packaged release, and then apply the generated Kubernetes YAML
file from the charts on the cluster.
How do you run applications on Kubernetes?
There are three different ways you can schedule your application on a Kubernetes cluster. In all three, your application
Docker containers are packaged as a Pod, which are the
smallest deployable unit in Kubernetes, and represent one or more Docker containers that are tightly coupled. Containers
in a Pod share certain elements of the kernel space that are traditionally isolated between containers, such as the
network space (the containers both share an IP and thus the available ports are shared), IPC namespace, and PIDs in some
cases.
Pods are considered to be relatively ephemeral disposable entities in the Kubernetes ecosystem. This is because Pods are
designed to be mobile across the cluster so that you can design a scalable fault tolerant system. As such, Pods are
generally scheduled with
Controllers that manage the
lifecycle of a Pod. Using Controllers, you can schedule your Pods as:
Jobs, which are Pods with a controller that will guarantee the Pods run to completion. See the k8s-job
chart for more information.
Deployments behind a Service, which are Pods with a controller that implement lifecycle rules to provide replication
and self-healing capabilities. Deployments will automatically reprovision failed Pods, or migrate Pods to healthy
nodes off of failed nodes. A Service constructs a consistent endpoint that can be used to access the Deployment. See
the k8s-service chart for more information.
Daemon Sets, which are Pods that are scheduled on all worker nodes. Daemon Sets schedule exactly one instance of a Pod
on each node. Like Deployments, Daemon Sets will reprovision failed Pods and schedule new ones automatically on
new nodes that join the cluster. See the k8s-daemon-set chart for more information.
Questions? Ask away.
We're here to talk about our services, answer any questions, give advice, or just to chat.
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class=\"preview__body--title\" id=\"background\">Background</h1><div class=\"preview__body--border\"></div><h2 class=\"preview__body--subtitle\" id=\"what-is-kubernetes\">What is Kubernetes?</h2>\n<p><a href=\"https://kubernetes.io\" class=\"preview__body--description--blue\" target=\"_blank\">Kubernetes</a> is an open source container management system for deploying, scaling, and managing\ncontainerized applications. Kubernetes is built by Google based on their internal proprietary container management\nsystems (Borg and Omega). Kubernetes provides a cloud agnostic platform to deploy your containerized applications with\nbuilt in support for common operational tasks such as replication, autoscaling, self-healing, and rolling deployments.</p>\n<p>You can learn more about Kubernetes from <a href=\"https://kubernetes.io/docs/tutorials/kubernetes-basics/\" class=\"preview__body--description--blue\" target=\"_blank\">the official documentation</a>.</p>\n<h2 class=\"preview__body--subtitle\" id=\"what-is-helm\">What is Helm?</h2>\n<p><a href=\"https://helm.sh/\" class=\"preview__body--description--blue\" target=\"_blank\">Helm</a> is a package and module manager for Kubernetes that allows you to define, install, and manage\nKubernetes applications as reusable packages called Charts. Helm provides support for official charts in their\nrepository that contains various applications such as Jenkins, MySQL, and Consul to name a few. Gruntwork uses Helm\nunder the hood for the Kubernetes modules in this package.</p>\n<p>Helm consists of two components: the Helm Client, and the Helm Server (Tiller)</p>\n<h3 class=\"preview__body--subtitle\" id=\"what-is-the-helm-client\">What is the Helm Client?</h3>\n<p>The Helm client is a command line utility that provides a way to interact with Tiller. It is the primary interface to\ninstalling and managing Charts as releases in the Helm ecosystem. In addition to providing operational interfaces (e.g\ninstall, upgrade, list, etc), the client also provides utilities to support local development of Charts in the form of a\nscaffolding command and repository management (e.g uploading a Chart).</p>\n<h3 class=\"preview__body--subtitle\" id=\"what-is-the-helm-server\">What is the Helm Server?</h3>\n<p>The Helm Server (Tiller) is a component of Helm that runs inside the Kubernetes cluster. Tiller is what\nprovides the functionality to apply the Kubernetes resource descriptions to the Kubernetes cluster. When you install a\nrelease, the helm client essentially packages up the values and charts as a release, which is submitted to Tiller.\nTiller will then generate Kubernetes YAML files from the packaged release, and then apply the generated Kubernetes YAML\nfile from the charts on the cluster.</p>\n<h2 class=\"preview__body--subtitle\" id=\"how-do-you-run-applications-on-kubernetes\">How do you run applications on Kubernetes?</h2>\n<p>There are three different ways you can schedule your application on a Kubernetes cluster. In all three, your application\nDocker containers are packaged as a <a href=\"https://kubernetes.io/docs/concepts/workloads/pods/pod/\" class=\"preview__body--description--blue\" target=\"_blank\">Pod</a>, which are the\nsmallest deployable unit in Kubernetes, and represent one or more Docker containers that are tightly coupled. Containers\nin a Pod share certain elements of the kernel space that are traditionally isolated between containers, such as the\nnetwork space (the containers both share an IP and thus the available ports are shared), IPC namespace, and PIDs in some\ncases.</p>\n<p>Pods are considered to be relatively ephemeral disposable entities in the Kubernetes ecosystem. This is because Pods are\ndesigned to be mobile across the cluster so that you can design a scalable fault tolerant system. As such, Pods are\ngenerally scheduled with\n<a href=\"https://kubernetes.io/docs/concepts/workloads/pods/pod-overview/#pods-and-controllers\" class=\"preview__body--description--blue\" target=\"_blank\">Controllers</a> that manage the\nlifecycle of a Pod. Using Controllers, you can schedule your Pods as:</p>\n<ul>\n<li>Jobs, which are Pods with a controller that will guarantee the Pods run to completion. See the <a href=\"/repos/v0.1.0/helm-kubernetes-services/charts/k8s-job\" class=\"preview__body--description--blue\">k8s-job\nchart</a> for more information.</li>\n<li>Deployments behind a Service, which are Pods with a controller that implement lifecycle rules to provide replication\nand self-healing capabilities. Deployments will automatically reprovision failed Pods, or migrate Pods to healthy\nnodes off of failed nodes. A Service constructs a consistent endpoint that can be used to access the Deployment. See\nthe <a href=\"/repos/v0.1.0/helm-kubernetes-services/charts/k8s-service\" class=\"preview__body--description--blue\">k8s-service chart</a> for more information.</li>\n<li>Daemon Sets, which are Pods that are scheduled on all worker nodes. Daemon Sets schedule exactly one instance of a Pod\non each node. Like Deployments, Daemon Sets will reprovision failed Pods and schedule new ones automatically on\nnew nodes that join the cluster. See the <a href=\"/repos/v0.1.0/helm-kubernetes-services/charts/k8s-daemon-set\" class=\"preview__body--description--blue\">k8s-daemon-set chart</a> for more information.</li>\n</ul>\n","repoName":"helm-kubernetes-services","repoRef":"v0.1.0","serviceDescriptor":{"serviceName":"Kubernetes Service","serviceRepoName":"helm-kubernetes-services","serviceRepoOrg":"gruntwork-io","cloudProviders":["aws","gcp"],"description":"Deploy a Kubernetes service with zero-downtime, rolling deployment, RBAC, auto scaling, secrets management, and more.","imageUrl":"kubernetes.png","licenseType":"open-source","technologies":["Terraform","Bash","Helm"],"compliance":[],"tags":[""]},"serviceCategoryName":"Docker services","fileName":"core-concepts.md","filePath":"/core-concepts.md","title":"Repo Browser: Kubernetes Service","description":"Browse the repos in the Gruntwork Infrastructure as Code Library."}