Enterprise-Wide K8s Dashboard

View and Monitor All Clusters Across your Entire Fleet

Gain Visibility into All Clusters Across Your Entire Infrastructure

DevOps organizations can’t manage or support what they can’t see. Rafay’s enterprise-wide dashboards provide a single, organization-wide view of resources consumed, user and access activity, critical alerts, and the overall health of every Kubernetes cluster deployed across all internal teams and business units. Each internal team is also provided a dedicated dashboard that helps them visualize their sub-fleet. With Rafay’s Multi-Cluster Dashboards, you can:

View all clusters across any environment, including on-premises and public cloud environments such as AWS, Azure, GCP and OCI.

See resources consumed, user and access activity, critical alerts, and the overall health of any cluster

Drill down to get more information by projects, clusters, users and critical alerts

Give project admins access to only their project-wide dashboard providing a bird’s eye view into all resources in the project

Enterprise-Wide, Multi-Cluster Dashboard

Organization Administrators will have access to an organization wide dashboard that will provide a bird’s eye view of resources across all projects. Admins can quickly view resources consumed, user and access activity, critical alerts, and overall health at a glance.

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Project Dashboards

Project admins can access a project-wide dashboard providing a bird’s eye view into all resources in the project including clusters, workloads, pods, namespaces, Cluster Blueprints and credentials used. Admins get immediate access to resource utilization metrics and audit logs for only the project they manage.

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Sample K8s Management POC Test Plan

Customize this POC plan for your K8s POC

Cluster- and Node-Level Dashboards

A detailed dashboard is available for every managed cluster. The cluster dashboard provides at-a-glance information such as insight into health, resource utilization and status of pods and workloads. Rafay also provides admins with a detailed view of the status and health of the nodes that comprise a cluster.

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