Learn how to create, import, and manage clusters across cloud providers by using both Red Hat Advanced Cluster Management for Kubernetes and IBM Cloud Pak® for Multicloud Management. You can use a mix of the console and the CLI for both solutions.
With the IBM Cloud Pak® for Multicloud Management console and CLI tools, you can view information about your clusters, add or change cluster labels, and view metering usage data.
With Red Hat Advanced Cluster Management, you can create, import, scale, and delete clusters. You can use the console, the CLI tools, and cluster API to create and manage clusters. For more information about the cluster management capabilities within
Red Hat Advanced Cluster Management, see Managing clusters with Red Hat Advanced Cluster Management .
The cluster API is a Kubernetes core-based API that is used to create, configure, and manage clusters with CRD and controller requirements. For more information about the API and API community, see the Kubernetes Cluster API .
For more information on the integration between Red Hat Advanced Cluster Management for Kubernetes and IBM Cloud Pak® for Multicloud Management, see Supported Red Hat Advanced Cluster Management version.
IBM Cloud Pak® for Multicloud Management consists of several multicluster components, which are used to access and manage your clusters. Learn more about the following components for IBM Cloud Pak® for Multicloud Management:
The hub cluster is the common term that is used to define the central controller that runs in an IBM Cloud Pak® for Multicloud Management cluster.
The hub cluster aggregates information from multiple clusters by using an asynchronous work request model. With a graph database, the hub cluster maintains the state of clusters and applications that run on it. The hub cluster also uses etcd
,
a distributed key value store, to store the state of work requests and results from multiple clusters and provides a set of REST APIs for the various functions that it supports.
The managed cluster is used to refer to a single Kubernetes cluster that is connected to the hub cluster. The managed cluster initiates a connection to the hub cluster, receives work requests, applies work requests, then returns the results. The managed cluster connects to various services within the cluster for operations, including the Kubernetes API service, the Tiller service (Helm).
After you configure a hub cluster and a managed cluster, you can create, deploy, and view applications and hybrid applications.
You can use either the Red Hat Advanced Cluster Management UI or the IBM Cloud Pak® for Multicloud Management console to create applications and application resources. These created resources are created within Red Hat Advanced Cluster Management. Any updates to these resources within IBM Cloud Pak® for Multicloud Management are automatically propagated to Red Hat Advanced Cluster Management.
Hybrid applications are created and managed within only IBM Cloud Pak® for Multicloud Management.
For more information about applications and application management, see Managing applications.
After you configure an IBM Cloud Pak® for Multicloud Management hub cluster and a managed cluster, you can manage and view security risks and policies with a combination of Red Hat Advanced Cluster Management and IBM Cloud Pak® for Multicloud Management functionality. The governance, risk, and compliance (GRC) capabilities include policies, profiles, and compliance validation. These capabilities blend together data and management tools to formulate the Governance and risk dashboard.
For more information, Governance and risk.
The console is the UI for accessing IBM Cloud Pak® for Multicloud Management dashboards and functionality. You can use the console to view and manager resources and launch other tools for managing resources, such as Grafana, and Red Hat Advanced Cluster Management for Kubernetes.
From this console, you can access the Automate infrastructure > Clusters page to view the following information about your available clusters and complete the following tasks:
If you encounter any issues related to cluster management, review the lists of known issues and commonly encountered problems.
To view the list of known issues, see Known issues.
To view the commonly encountered problems to help you troubleshoot any problems that you encounter, see:
For any issues that you encounter regarding creating or importing a cluster, review the Red Hat Advanced Cluster Management documentation.