Traffic Manager uses DNS to direct client requests to the most appropriate service endpoint, based on a traffic-routing method and the health of the endpoints. Why are two resource groups created with AKS? You can specify a different location for your Kubernetes configuration file using --file. AKS … AKS Engine executes the scale operation against a specific agent pool. 7 min read. Helm is a Kubernetes package manager, available as a binary that is runs on macOS, Windows, and Linux. You can copy the configuration to an admin machine with connectivity to the Kubernetes cluster and use the kubectl command there. Dave Rendón Follow Microsoft Azure MVP, … In this final part of the Azure Arc series, we will deploy the data controller followed by PostgreSQL-Hyperscale. In the Azure Portal, select + Create a resource, Containers, then click Container Registry. To manage a Kubernetes cluster, you use kubectl, the Kubernetes command-line client. This command will install the Azure Monitor agent on your Kubernetes cluster: The Operations Management Suite (OMS) Agent on your Kubernetes cluster will send monitoring data to your Azure Log Analytics Workspace (using outbound HTTPS). In the sample topology, "Method one" is used, which allows automation of the process and updates can be installed more easily. The service takes care of maintenance tasks like health monitoring and updating and enables you to focus on operating your deployment. It's the cluster operator's responsibility to monitor the availability of newer Kubernetes Versions and OS Images. You may check the current status of autoscaler by running: To distribute traffic between two (or more) deployments of the application, we'll use Azure Traffic Manager. Die Plattform wurde von Anfang an für Unternehmen konzipiert, bietet integrierte bewährte Methoden, Support sowie Multi-Layer-Security. This will take several minutes to complete. Azure Traffic Manager is a DNS-based traffic load balancer in Azure. Deploy JupyterHub on Kubernetes through a customized Helm chart; Test failover by killing or cordoning a node in the cluster; Expand the storage volume without downtime . Most Kubernetes deployments live on the cloud. Azure Kubernetes Service (AKS) offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience and enterprise-grade security and governance. The step-by-step process is documented here: The end result of the aks-engine deploy command and the preparations in the previous steps is a fully featured Kubernetes cluster deployed into the tenant space of the first Azure Stack Hub instance. If using Azure Cloud Shell, the latest version is already installed. Creating the cluster is the first action to take in the AKS Engine helper VM. The design considerations assist in optimizing hybrid app design, minimizing challenges in production environments. You then see how to monitor the health of the cluster and pods that run your application. Now we can create an AKS cluster. They can run on Azure Stack Hub instances in the same or different locations: In Azure, we configure Traffic Manager to point to the two different instances of our application: As you can see, the two endpoints point to the two instances of the deployed application from the previous section. The cluster is now up-and-running and in the next step we'll connect to it. This is the preferable way to control access to the cluster instead of handing out cluster-admin permissions. How to Set Up an AKS Cluster. You can use Azure Monitor for containers to monitor the containers in the solution. As such, it's straightforward to deploy the application onto our Kubernetes cluster. The agent can access the Azure Stack Hub Management Endpoints and the Kubernetes cluster API endpoints. For more information, see Kubernetes core concepts for Azure Kubernetes Service (AKS). 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