Kubernetes Kapsule
scaleway.comRun standard Kubernetes on Scaleway Instances while Scaleway manages the control plane and core cluster components.
Run standard Kubernetes on Scaleway Instances while Scaleway manages the control plane and core cluster components.
Manage Prometheus and Alertmanager deployments through Kubernetes-native custom resources.
Run upstream-compatible Kubernetes clusters on Akamai Cloud without operating the control plane.
Develop, debug, and deploy Kubernetes applications through a shared CLI workflow.
A deployment control plane that builds and runs applications in your cloud account or Kubernetes cluster.
Manage OpenTelemetry Collectors and opt-in workload instrumentation through Kubernetes resources.
Package Kubernetes resources as charts and manage their installation as releases.
Provision Kubernetes clusters and node pools with Vultr-managed control-plane and worker-node operations.
Use Kubernetes-focused AI SRE agents to investigate incidents and act on existing operational context.
Compose Kubernetes-native tasks into build, test, and deployment pipelines.
Centrally provision, import, and manage Kubernetes clusters with role controls and workload deployment tools.
Attribute Kubernetes spend to clusters, teams, namespaces, and workloads, then surface savings opportunities.
Search Kubernetes network traffic by workload, API, and network context, then save packet captures for later review.
Monitor Kubernetes, containers, cloud services, and Prometheus metrics with managed collection and alerting.
Inject controlled faults into Kubernetes workloads to test recovery and resilience.
A client-side workflow tool for building, testing, and deploying Kubernetes applications.
Keep Kubernetes applications in sync with their declared configuration in Git.
Build, test, publish, and deploy containerized applications to Kubernetes.
Run and coordinate existing test workflows across Kubernetes runners, then inspect their logs and artifacts.
A Kubernetes-oriented chaos engineering platform for running fault experiments and checking whether workloads stay healthy.
Run container-native workflows as DAGs or ordered steps on a Kubernetes cluster.
Deploy applications to Kubernetes in your AWS, Azure, or GCP account.
Automates Kubernetes canary and blue-green rollouts using traffic analysis and validation checks.
Control Kubernetes canary and blue-green releases with staged traffic shifts and promotion or rollback rules.