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Deploy applications to Kubernetes in your AWS, Azure, or GCP account.

Model Kubernetes builds, deployments, tests, and local development as a dependency-aware action graph.

Keep Kubernetes applications in sync with their declared configuration in Git.

Control Kubernetes canary and blue-green releases with staged traffic shifts and promotion or rollback rules.

Official resource and control-plane symbols for Kubernetes diagrams.

A Kubernetes-based framework for provisioning infrastructure through composable APIs.

Run event-driven CI jobs and GitHub automation from Kubernetes clusters your team operates.

Build, test, publish, and deploy containerized applications to Kubernetes.

Use Tencent Cloud's managed Prometheus service for metrics, Grafana dashboards, and cloud alerts.

Reconcile Kubernetes applications and configuration from Git repositories.

Export NVIDIA GPU telemetry as Prometheus metrics for hardware and workload monitoring.

Use a managed Prometheus-compatible backend for metrics from EKS and other Kubernetes clusters.

Investigate monitoring alerts with an AI SRE agent and review findings in a centralized platform.

Inspect Kubernetes network flows and service relationships through Cilium's CLI and optional service-map interface.

Monitors infrastructure, distributed applications, and user experience through a hosted Splunk service.

Promote application configuration through GitOps stages so a GitOps agent can deploy each stage.

Open a Git repository in a browser IDE backed by a Kubernetes development workspace.

Route and govern API traffic with an extensible gateway deployable across cloud, Kubernetes, or on-premises environments.

Run multiple containers on OCI serverless compute without creating a Kubernetes cluster.

Monitor networks, servers, and hybrid infrastructure with agentless discovery, maps, dashboards, and alerts.

Bring application, infrastructure, database, network, log, and digital-experience monitoring into one hosted workspace.

AI cloud for training and serving models at scale.

Collect cloud workload telemetry and build monitors for Kubernetes and Linux environments.

Run controlled chaos experiments and reliability checks against services before failures reach users.