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Discover supported services and connect application, infrastructure, and user-experience signals for investigation.

Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.

Deploy and scale web applications in AWS environments without writing the provisioning workflow yourself.

Run repository workflows on events such as pushes, with jobs executed by GitHub-hosted or self-hosted runners.

A persistent cloud VS Code workspace with a Linux container, terminal, debugger, and ready-made project templates.

Preview and deploy infrastructure changes through the same CI workflow as application code.

A concurrent test runner for JavaScript projects running on Node.js.

Develop, debug, and deploy Kubernetes applications through a shared CLI workflow.

Deploy persistent services and one-off container tasks, choosing Fargate or other AWS compute capacity.

Define synthetic API and browser checks as code and run them on a schedule.

Manage Prometheus and Alertmanager deployments through Kubernetes-native custom resources.

Orchestrate Terraform and OpenTofu projects while reusing configuration across infrastructure units.

Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.

Define shared metrics and joins as code for dashboards and data applications.

Use scheduled GitHub Actions to monitor endpoints, record response-time history, and publish a status page.

A cloud development workspace with browser and virtual-machine sandboxes plus a VS Code-based editor.

Automates versioning, release notes and package publishing from a CI workflow.

Publish Markdown knowledge pages with revision history and a change approval mechanism.

Run a social community with adjustable member roles and policy priorities

Edit Markdown wiki pages in the browser while using GitHub as the content and history backend.

Operate a self-hosted registry for container images and other cloud-native artifacts.

Deploy managed web applications and APIs into a plan with configurable compute capacity.

Deploy single-tenant physical servers through a portal, API, or CLI.

Build, test, and deploy through YAML pipelines organized as stages, jobs, and steps.