Kubernetes deployment

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Kubernetes Integration - Streamline Your App Deliver

Deployments A Deployment provides declarative updates for Pods and ReplicaSets. You describe a desired state in a Deployment, and the Deployment Controller changes the actual state to the desired state at a controlled rate A Kubernetes deployment is a resource object in Kubernetes that provides declarative updates to applications. A deployment allows you to describe an application's life cycle, such as which images to use for the app, the number of pods there should be, and the way in which they should be updated Kubernetes's default rollout method is a ramped or rolling deployment. This deployment slowly replaces pods one at a time to avoid downtime. Old pods are scaled down only after new pods are ready. If your deployment encounters problems, you can pause or cancel the Kubernetes deployment without taking the entire cluster offline

Kubernetes Deployments Once you have a running Kubernetes cluster, you can deploy your containerized applications on top of it. To do so, you create a Kubernetes Deployment configuration. The Deployment instructs Kubernetes how to create and update instances of your application kubernetes_deployment. A Deployment ensures that a specified number of pod replicas are running at any one time. In other words, a Deployment makes sure that a pod or homogeneous set of pods are always up and available. If there are too many pods, it will kill some. If there are too few, the Deployment will start more. Example Usag This is maybe the simple procedure for Kubernetes cluster deployment (especially for developers). The most widely use solution is from minukube, another popular solution is kind

In this Kubernetes YAML file, we have two objects, separated by the ---: A Deployment, describing a scalable group of identical pods Kubernetes is the mood of the developers right now! It is trending like never before. Kubernetes a.k.a K8s is an open-source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications. Everything in Kubernetes is all about Deployment Kubernetes, remember, manages container-based applications and services. In the case of a K8s Deployment, you're creating a set of resources to be managed Microsoft Azure Kubernetes Service Deployment This page is a step-by-step guide on how to deploy an Ignite cluster on Microsoft Azure Kubernetes Service. We will consider two deployment modes: stateful and stateless

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The deployment job uses the Kubernetes manifest task to create the imagePullSecret required by Kubernetes cluster nodes to pull from the Azure Container Registry resource. Manifest files are then used by the Kubernetes manifest task to deploy to the Kubernetes cluster sftpplus-kubernetes. SFTPPlus Kubernetes deployment examples. For more information on how to use these files, see our articles from SFTPPlus website For any comments or questions, don't hesitate to get in touch with us You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts Deploy Grafana Enterprise on Kubernetes The process for deploying Grafana Enterprise is almost identical to the process above, except for some extra steps required to add in your license file. They are described in the following sections. Obtain Grafana Enterprise licens 58 min. Module. 8 Units. Helm is an application package manager for Kubernetes that you use to standardize and simplify the deployment of cloud-native applications on Kubernetes. Here you'll see how to install third-party packages called Helm charts and how to create and install Helm charts for the workloads your teams develop. Introduction 2 min

I've been using kubernetes for a couple of years now and I am sold on the whole concept. I've setup 4 clusters on-prem so far using my own kubeadm based Ansible setup. But so far I've only used nginx and Traefik ingress controllers kubernetes deployment. Close. 11. Posted by 7 hours ago. kubernetes deployment. can someone please explain and compare different options of deploying Kubernetes on AWS. I am just curious how everyone deployed in production and what architecture they use to prefer and why. like basally what problems they faced while deploying. 9 comments. share In basic terms, a deployment is a Kubernetes object that manages the creation of pods via ReplicaSets. The deployment creates pods by way of a specification from a template

Pilot. Phase 1: Build a foundation. Phase 2: Deploy Azure Arc enabled Kubernetes. Phase 3: Manage and operate. Next steps. Deployment of an IT infrastructure service or business application is a challenge for any company. To prevent any unwelcome surprises or unplanned costs, you need to thoroughly plan for it to ensure you're as ready as possible In Kubernetes, the term deployment has a specialized meaning that defines a pod's characteristics or expected behavior. Here, the term is not used to refer to either application or service deployments. Manual update of containerized applications is a tedious, time-consuming process

Browse other questions tagged kubernetes deployment kubernetes-helm azure-aks kubernetes-pod or ask your own question. The Overflow Blog The 2021 Stack Overflow Developer Survey is here! Communities are a catalyst for technology development. Featured on Meta Join me in Welcoming Valued Associates: #945 - Slate - and #948 - Vanny. What is a Kubernetes Deployment? A Kubernetes Deployment is used to tell Kubernetes how to create or modify instances of the pods that hold a containerized application. Deployments can scale the number of replica pods, enable rollout of updated code in a controlled manner, or roll back to an earlier deployment version if necessary In Kubernetes, pods are the basic units that get deployed in the cluster. Kubernetes deployment is an abstraction layer for the pods. The main purpose of the deployment object is to maintain the resources declared in the deployment configuration in its desired state. A deployment configuration can be of YAML or JSON format Deploying to Kubernetes Cluster. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It is the de-facto solution for deploying applications today. Machine learning services also can take advantage of Kubernetes' ability to quickly deploy and scale base on demand Deployment guide for Kubernetes¶ Before deploying OpenFaaS, you should provision a Kubernetes cluster. Installing OpenFaaS (an overview)¶ There are many options for deploying a local or remote cluster. You can read about the various Kubernetes distributions here. Once you have a cluster, you can follow the detailed instructions on this page

Deploy the application. To deploy your application, use the kubectl apply command. This command parses the manifest file and creates the defined Kubernetes objects. Specify the sample manifest file, as shown in the following example: Console. kubectl apply -f azure-vote-all-in-one-redis.yaml A Kubernetes deployment is a resource object in Kubernetes that provides declarative updates to applications. To know more about on Deployment specifications, see the Kubernetes API documentation In this article, we will learn to create a deployment in Kubernetes and perform operations on it $ kubectl apply -f deployment.yml deployment.apps/kuard created $ kubectl get deployment,replicaset,pod --show-labels NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE LABELS deployment.extensions. Kubernetes deployment is an abstraction describing how your application will be deployed. It describes your Kubernetes cluster and defines: the no. of instances that should be running once your app gets deployed in Kubernetes


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Last update: January 17, 2019 I get many questions about Kubernetes and persistence. Of course, persistence is essential for stateful apps. We often say that for stateful apps you need to use StatefulSet and for stateless apps a Deployment.It doesn't mean that you couldn't run stateful apps using deployments with persistent volumes Create the deployment. In this example, the container hosting the SQL Server instance is described as a Kubernetes deployment object. The deployment creates a replica set. The replica set creates the pod. In this step, create a manifest to describe the container based on the SQL Server mssql-server-linux Docker image To deploy RapidMiner AI Hub with Kubernetes / Helm: the Helm Chart, and follow instructions. Note that this deployment uses RapidMiner Gen2 images, which have a more modern and secure structure than current images. The deployment is a preview, meant for testing rather than production, since there is not yet a migration mechanism from existing. Kubernetes 110: Your First Deployment. If you've read my introduction to Kubernetes, you should have a good foundational understanding of the basic pieces that make up Kubernetes. If you're. Kubernetes represents applications as Pods, which are scalable units holding one or more containers. The Pod is the smallest deployable unit in Kubernetes. Usually, you deploy Pods as a set of replicas that can be scaled and distributed together across your cluster. One way to deploy a set of replicas is through a Kubernetes Deployment

Deployments Kubernete

Both the Dapr CLI and the Dapr Helm chart automatically deploy with affinity for nodes with the label kubernetes.io/os=linux. You can deploy Dapr to Windows nodes if your application requires it. For more information see Deploying to a hybrid Linux/Windows Kubernetes cluster The full deployment can take as little as a couple of seconds, because all the work happens directly in the Kubernetes cluster with all the images readily available. Also, a definite benefit of Init Containers is that no pod starts without a full verification of all its dependencies Kubernetes targets. Kubernetes targets are used by the Kubernetes steps to define the context in which deployments and scripts are run. Learn how to configure Kubernetes deployment targets. Learn more. Generate an Octopus guide for Kubernetes and the rest of your CI/CD pipeline; Kubernetes blog posts; Deploy to a Kubernetes cluster; Deploy a.

What is a Kubernetes deployment? - Red Ha

A Kubernetes deployment specifies the application's life cycle, including the pods assigned to the app. It provides a way to communicate your desired state to Kubernetes deployments, and the controller works on changing the present state into your desired state. In simple terms, a Kubernetes deployment is a tool that manages the performance. Kubernetes Deployment Models and Hosted Solutions. In this module, we'll explore different installation configuration strategies, deployments, and how deployments are scaled, updated, and rolled back. 2 hours to complete. 3 videos (Total 27 min), 4 readings, 2 quizzes. See All. 3 videos. Canary deployment with Kubernetes Canary deployment. Canary deployment alludes to the canaries that were used in coal mines, to detect dangerous concentrations of toxic gas like carbon monoxide. The miners would carry a canary in a cage. Canaries are more sensitive to toxic gas than humans 1. Deploy the latest Kubernetes dashboard. Once you've set up your Kubernetes cluster or if you already had one running, we can get started. The first thing to know about the web UI is that it can only be accessed using localhost address on the machine it runs on

Kubernetes Deployment - Strategies & Tools Microsoft Azur

  1. Kubernetes. Fluentd + Kubernetes. . Kubernetes provides two logging endpoints for applications and cluster logs: Stackdriver Logging for use with Google Cloud Platform; and, Elasticsearch. Behind the scenes, there is a logging agent that takes care of the log collection, parsing and distribution: Fluentd. This document focuses on how to deploy.
  2. How to Deploy Docker Image to Kubernetes, In this post we will see how to deploy docker images to kubernetes using Minikube in 8 Simple Steps with example. Kubernetes Manifest file sample for Pod creation to deploy docker image. Pod Creation example and how pod. Kubernetes example deployment of Docker Image
  3. Provide a name and a Kubernetes namespace where the deployment will take place. The namespace must already exist, or the pipeline will fail during execution. This will also create a section called Produces Artifacts that you can scroll down to see: This produced artifact is a base64-encoded Kubernetes deployment (with service, ingress, etc.) file

By the end of this article, you'll have a working Kubernetes deployment and continuous delivery workflow. Continuous Integration and Delivery. Continuous Integration (CI) is the practice of building and testing the application on each update. By working in small increments, errors are detected earlier and promptly resolved.. Kubernetes Deployment. In Kubernetes, the term deployment has a specialized meaning that defines a pod's characteristics or expected behavior. Here, the term is not used to refer to either application or service deployments. Manual update of containerized applications is a tedious, time-consuming process Kubernetes has three Object Types you should know about: Pods - runs one or more closely related containers. Services - sets up networking in a Kubernetes cluster. Deployment - Maintains a set of identical pods, ensuring that they have the correct config and that the right number of them exist Usage of Kubectl command and deployment of pods using Kubernetes and Jenkins. 4 kubectl wait waits forever. 2. Kubernetes API: list pods with a label. 0. Listing Pods with name and field selector. Hot Network Questions Find XML file with specific pat

There is a set image command which may be useful in simple cases. Update existing container image(s) of resources. Possible resources include (case insensitive): pod (po), replicationcontroller (rc), deployment (deploy), daemonset (ds), job, replicaset (rs A ConfigMap in Kubernetes provides configuration data to all of the pods in a deployment. In this file we can see the apiversion, which is v1 again, the kind which is now ConfigMap , and in the metadata we can see the name, prometheus-config , and the namespace monitoring , which will place this ConfigMap into the monitoring. Working with Kubernetes in VS Code. This document will walk you through the process of deploying an application to Kubernetes with Visual Studio Code. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. We will show you how to create a Kubernetes cluster, write a Kubernetes manifest file (usually written in YAML), which tells. Kubernetes. Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. A Kubernetes cluster adds a new automation layer to Jenkins. Kubernetes makes sure that resources are used effectively and that your servers and underlying infrastructure are not overloaded

Using kubectl to Create a Deployment Kubernete

  1. The Kubernetes Manifest task maps SMI TrafficSplit objects to the stable, baseline, and canary services during the life cycle of the deployment strategy. Canary deployments that are based on a service mesh and use this task are more accurate
  2. The final component is a Temporal worker that runs application workflows and activities. In my setup, the worker is a Kubernetes deployment that pulls the custom Docker image from the container registry. The application component: Refers to the custom Docker image created above. Connects to the gRPC endpoint of the Temporal Service
  3. Request a Free Quote. These are two important fundamental tools required in the deployment of apps. Docker is a containerization platform, whereas, Kubernetes is a container orchestration platform. These two are best when they work together in migrating the infrastructure of a business to cloud-native in containers
  4. // Package deployment contains all the logic for handling Kubernetes Deployments. // It implements a set of strategies (rolling, recreate) for deploying an application, // the means to rollback to previous versions, proportional scaling for mitigatin
  5. If you want a kubernetes deployment to start a new pod using the same image (and this trick only works with the latest tag) you have to specify it without a tag. Next time add the latest tag and it will trigger the update. The order could be reversed, it doesn't matter. You never use the latest tag in production, but for development.

Deployments - Kubernete

  1. Deploy MinIO on Kubernetes. MinIO is a high performance distributed object storage server, designed for large-scale private cloud infrastructure. MinIO is designed in a cloud-native manner to scale sustainably in multi-tenant environments. Orchestration platforms like Kubernetes provide perfect cloud-native environment to deploy and scale MinIO
  2. Kubernetes is an open source container orchestration system for automating deployment, scaling and management of containerized applications. Running a PostgreSQL database on Kubernetes is a topic of discussion nowadays as Kubernetes provides ways to provision stateful container using persistent volumes, statefulsets, etc
  3. I've been using kubernetes for a couple of years now and I am sold on the whole concept. I've setup 4 clusters on-prem so far using my own kubeadm based Ansible setup. But so far I've only used nginx and Traefik ingress controllers
  4. During the deployment of an application to a Kubernetes cluster, you'll typically want one or more images to be pulled from a Docker registry. In the application's manifest file you specify the images to pull, the registry to pull them from, and the credentials to use when pulling the images. The manifest file is commonly also referred to as a.
  5. ikube.

kubernetes_deployment Resources hashicorp/kubernetes

Centrally deploy, run, and manage Kubernetes clusters across all of your environments with a comprehensive container orchestration platform that finally delivers on the Kubernetes promise. Optimized for large enterprises, Kublr is designed to provide multi-cluster deployments and observability Kubernetes Deployment is the preferred way to create a replicated application. Which in-turn uses a ReplicaSet (RS), which then works on Pods under it. Using Deployment efficiently makes your rollouts smooth and super easy. All you need to know is how it works and do a good preparation. Features like Rolling Back A Deployment saves you in case. Kubernetes - Deployments. Deployments are upgraded and higher version of replication controller. They manage the deployment of replica sets which is also an upgraded version of the replication controller. They have the capability to update the replica set and are also capable of rolling back to the previous version The rolling deployment is the standard default deployment to Kubernetes. It works by slowly, one by one, replacing pods of the previous version of your application with pods of the new version without any cluster downtime. A rolling update waits for new pods to become ready via your readiness probe before it starts scaling down the old ones

How do you deploy your Kubernetes Clusters

  1. Deployment. A Deployment resource provides a declarative interface for a Pod resource and a ReplicaSet resource.. A Pod resource in turn configures one or more Containers resources.Container resources reference a Docker container image and provide all the additional configuration required for Kubernetes to deploy, run, expose, monitor, and secure the Docker container
  2. A deployment is an object in Kubernetes that lets you manage a set of identical pods. Without a deployment, you'd need to create, update, and delete a bunch of pods manually. With a deployment, you declare a single object in a YAML file. This object is responsible for creating the pods, making sure they stay up to date, and ensuring there are.
  3. The Deploy Kubernetes containers step ignores the selector property in the imported service YAML, and instead, assumes that the pods in the deployment are all to be exposed by the service. Coupling the deployment and service in this way is one of the opinions enforced by the Deploy Kubernetes containers step
  4. Kubernetes is the container scheduler for deploying and scaling your application. With Kubernetes, we can: Deploy services and roll out new releases without downtime, Run on a private or public cloud; Place and scale replicas of a service on the most appropriate server; Validate the health of our services; Mount volumes for stateful application
  5. Deploy Keel into your cluster, installation instructions can be found here. Modify your deployment manifest with policy annotations: Additional policies such as wildcard, regex and force are available, read more here. That's it, third step is automated, Keel will do it. Once you deploy it, Keel will be looking for new versions and automatically.
  6. Kubernetes Continuous Deploy Plugin. The following plugin provides functionality available through Pipeline-compatible steps. Read more about how to integrate steps into your Pipeline in the Steps section of the Pipeline Syntax page. For a list of other such plugins, see the Pipeline Steps Reference page. Table of Contents
Setting up Highly Available Kubernetes Cluster | by

Kubernetes Deployment from Scratch. Deploying a Kubernetes cluster from scratch can be a daunting task. It requires knowledge of its core concepts, the ability to make architecture choices, and expertise on the deployment tools and knowledge of the underlying infrastructure, be it on-premises or in the cloud Multi-cloud. Multi-cloud deployments, in which all deployments are relatively similar, are some of the most common heterogeneous deployment patterns used with Kubernetes. One use for multi-cloud deployments involves choosing how traffic is directed. In the simplest deployments, you might choose to send specific percentages of inbound traffic to. The only thing you'll need to make this work is a running Kubernetes cluster. If you have yet to spin up your cluster, check out: How to deploy a Kubernetes cluster on Ubuntu server.Once you have. Tanzu Kubernetes Grid (TKG) is an implementation of several open-source projects to provide automated provisioning and lifecycle management of Kubernetes clusters. In this scenario, we are going to deploy a TKG environment to vSphere 6.7u3. TKG is deployed on top of the underlying infrastructure provider as a virtual machine, therefore, we are.

Video: Deploy to Kubernetes Docker Documentatio

Consul and Kubernetes Deployment Guide. 15 min; Products Used; This tutorial also appears in: Kubernetes in Production. This tutorial covers the necessary steps to install and configure a new Consul datacenter on Kubernetes, as defined in the Consul Reference Architecture tutorial.By the end of this tutorial, you will be able to Provide a name and a Kubernetes namespace where the deployment will take place. The namespace must already exist, or the pipeline will fail during execution. This will also create a section called Produces Artifacts that you can scroll down to see: This produced artifact is a base64-encoded Kubernetes deployment (with service, ingress, etc.) file

Typical deployment diagram - YouTube

Kubernetes Deployment A demo of K8s Deploymen

Kubernetes Deployment is the process of providing declarative updates to Pods and ReplicaSets. It allows users to declare the desired state in the manifest (YAML) file, and the controller will change the current state to the declared state. So, let's look at how to create and use Kubernetes deployments Kubernetes, also known as K8s, is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications. Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale using a system called Borg. $ helm mapkubeapis --dry-run some-deployment 2021/02/15 09:33:29 NOTE: This is in dry-run mode, the following actions will not be executed. 2021/02/15 09:33:29 Run without --dry-run to take the actions described below: 2021/02/15 09:33:29 2021/02/15 09:33:29 Release 'some-deployment' will be checked for deprecated or removed Kubernetes APIs and. TL;DR: In this article, you will learn the basics of how to deploy a Laravel application in Kubernetes. Laravel is an excellent framework for developing PHP applications. Whether you need to prototype a new idea, develop an MVP (Minimum Viable Product) or release a full-fledged enterprise system, Laravel facilitates all of the development tasks and workflows Learn how Kubernetes deployment process enables reliable, zero-downtime upgrades. Learn more: https://aka.ms/k8slearnin

SAP Commerce Cloud | CCV2

Deploying the sample app to Kubernetes. Deploy the gceme frontend and backend to Kubernetes using manifest files that describe the deployment environment. The files use a default image that is updated later in this tutorial. Deploy the applications into two environments. Production. The live site that your users access Danger. For private clusters, you will need to either add an additional firewall rule that allows master nodes access to port 8443/tcp on worker nodes, or change the existing rule that allows access to ports 80/tcp, 443/tcp and 10254/tcp to also allow access to port 8443/tcp.. See the GKE documentation on adding rules and the Kubernetes issue for more detail

That is the last step in our blue-green deployment process on Kubernetes. The picture visible below illustrates the current status. The database schema has been updated. Also, the whole traffic is now sent to the v2 version of person-service. Also, here's a current list of deployments The deployment is done in a single zone. The container image used in this example is the DockerHub SFTPPlus Trial. The source of the container image is available from our public GitHub SFTPPlus Docker repository. The example Kubernetes YAML file can be found in our GitHub SFTPPlus Kubernetes repositor Introduction. Redis (which stands for REmote DIctionary Server) is an open source, in-memory datastore, often used as a database, cache or message broker. It can store and manipulate high-level data types like lists, maps, sets, and sorted sets. Because Redis accepts keys in a wide range of formats, operations can be executed on the server, which reduces the client's workload Accelerate Kubernetes adoption on VMware Cloud on AWS with Tanzu . Tanzu Standard enables our customers to quickly adopt Kubernetes through the easy deployment and operation of Tanzu Kubernetes Grid while ensuring consistency, security, and governance of the multiple Kubernetes clusters leveraging the global control plane of Tanzu Standard across environments

Native Kubernetes # This page describes how to deploy Flink natively on Kubernetes. Getting Started # This Getting Started section guides you through setting up a fully functional Flink Cluster on Kubernetes. Introduction # Kubernetes is a popular container-orchestration system for automating computer application deployment, scaling, and management Quarkus offers the ability to automatically generate Kubernetes resources based on sane defaults and user-supplied configuration using dekorate.It currently supports generating resources for vanilla Kubernetes, OpenShift and Knative.Furthermore, Quarkus can deploy the application to a target Kubernetes cluster by applying the generated manifests to the target cluster's API Server K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Simplified & Secure K3s is packaged as a single <40MB binary that reduces the dependencies and steps needed to install, run and auto-update a production Kubernetes cluster

Intro to YAML: Kubernetes Deployment Examples & Template

Learn more about Kubernetes: http://ibm.biz/cloud-managed-kubernetes-serviceCheck out the IBM Cloud Kubernetes Service: http://ibm.biz/cloud-kubernetes-serv.. Kubernetes manages Pods rather than managing the containers directly. In this tutorial we will look at how you can deploy an Ubuntu Pod in Kubernetes or OpenShift cluster. This can be for Debug purposes or just testing network connectivity to other Pods and Services in the namespace Kubernetes Setup # Getting Started # This Getting Started guide describes how to deploy a Session cluster on Kubernetes. Introduction # This page describes deploying a standalone Flink cluster on top of Kubernetes, using Flink's standalone deployment. We generally recommend new users to deploy Flink on Kubernetes using native Kubernetes deployments Kubernetes is the most popular container orchestration framework as of this writing.1 A container is an abstraction over the physical machine, while the container orchestration framework is an abstraction over the network. Container orchestration software like Kubernetes lets you deploy, manage, and scale containers in a highly distributed environment with thousands of nodes, or even more

Microsoft Azure Kubernetes Service Deployment Ignite

Federated Deployments. 1. Enable deployments to be federated: fedhost~$ kubefedctl enable deployments.apps --kubefed-namespace kube-federation-system 2. In case you already have a deployment (for example, deploy1), you may do it federated with a command: fedhost~$ kubefedctl -n myfedns federate deployment deploy1 But if you need a new federated deployment, just create and apply the federated. Kubernetes is an open-source system that helps to automate the deployment, scaling, and management of containerized workloads, services, and apps over clusters of hosts Deploy Tanzu Kubernetes Clusters to Amazon EC2; Deploy Tanzu Kubernetes Clusters to Azure; Each of the topics on deployment to vSphere, Amazon EC2, and Azure include Tanzu Kubernetes cluster templates, that contain all of the options that you can use for each provider Deploy the application to Kubernetes: kubectl create -f mendix-app.yaml 4.2.1 Some Notes on Scaling. The Mendix 7 Runtime is stateless, meaning that a client can talk to any server instance. However, scheduled events and database migrations should be handled by only one instance. For this, we use a container index count This way deployment will be improved and the complete data also resides on persistent storage to make sure data is persistent when pod restarts. Following diagram shows graphical representation of process to deploy SAP on Kubernetes. As shown in the diagram same base OS image can be used to run different flavors of SAP systems on Kubernetes

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