Follow our simple, step-by-step guides to be up and running with Kubernetes Operations by Cluster Type or Integrated Service.
View All Platform BasicsFor Amazon EKS Clusters
For Amazon EKS Anywhere Clusters on Bare Metal
For Azure AKS Clusters
For Google GKE Clusters
For RedHat OpenShift Clusters
For Upstream Kubernetes on VMware
For Upstream Kubernetes on Bare Metal, VMs and Edge
Centralized authentication and authorization enabling "role based access control" for users accessing their clusters and applications in their Orgs/Projects.
Centralized aggregation of alerts generated on remote clusters with proactive notification via emails
Centralized configuration with software add-ons and governance policies. Enforce continuous reconciliation with drift detection policies.
Consolidated fine-grained visibility and reporting of all your Kubernetes clusters. Automate showback and chargeback workflows.
Securely share clusters with multiple teams with enforcement of resource quotas and policies.
Comply with security and compliance requirements for isolation and network access esp. in shared clusters. Prevent lateral movement and reduce attack surface.
Centrally enforce OPA Gatekeeper policies. Aggregate and view policy metrics, violations and audits in a central dashboard.
Develop and operate containerized applications to remote clusters with drift detection and policy based deployment policies.
Controlled, audited, secure access for developers, SREs and automation systems to your clusters, with just-in-time service account creation.
Configure, Deploy and Operate Nvidia Triton based AI/ML applications on Amazon EKS clusters with Nvidia GPU enabled nodes.
Operate AI/ML applications on Amazon EKS clusters with Nvidia GPU enabled nodes
Operate AI/ML applications on Azure AKS clusters with Nvidia GPU enabled nodes
Operate AI/ML applications on Upstream Kubernetes clusters in Datacenters with Nvidia GPU enabled nodes
Develop and operate containerized applications to remote clusters with drift detection and policy based deployment policies.
Configure and Deploy multiple applications using a multi stage GitOps pipeline.
Use the integrated tools in the platform to debug and diagnose issues with applications operating on remote Kubernetes clusters.
Upgrade your workload using a blue/green based progressive deployment pattern.
Upgrade your workload using a canary based progressive deployment pattern.