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Run standard Kubernetes on Scaleway Instances while Scaleway manages the control plane and core cluster components.

Build event-driven serverless applications with triggers, bindings, and several hosting plans.

Storage products and custom closet planning

MPEG-4 encoding tools with several audio and container choices

Technical and tag information for audio and video files

Use Red Hat's managed OpenShift application platform on Google Cloud; AWS deployments are available in select instances.

Deploy supported application code to managed dynos without administering the host servers.

Build and operate WordPress, Drupal, and Next.js websites through managed environments and Git-connected workflows.

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

Collect and inspect distributed traces from instrumented applications with a self-managed tracing platform.

Monitor Kubernetes, containers, cloud services, and Prometheus metrics with managed collection and alerting.

Create repeatable local development environments with a Vagrantfile and managed virtual machines.

Show estimated cloud-cost changes and FinOps checks alongside infrastructure code reviews.

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

Trace and investigate AI application calls with a local or self-hosted observability interface.

A Go library for verifying infrastructure code by deploying it, checking behavior, and cleaning up resources.

Combine Python expressions and shell commands in one Python-based command prompt.

Monitor system resources and processes from a terminal or web interface.

A YAML-based CLI for asserting the installed packages, services, files, ports, and other state of a system.

A coverage-guided fuzzer that mutates input corpora to find crashes and hangs in instrumented programs.

Run your own Linux stack on a root-access VPS while InMotion maintains the underlying hardware and network.

Schedule long-running services and batch jobs across a cluster from declarative job specifications.

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

Query and update YAML, JSON, XML, and other structured data from the command line.