Developer tools

Monitoring: query metrics, logs, traces, incidents, synthetics, teams and cloud security posture

Monitoring: manage dashboards, monitors, SLOs, events, hosts, downtimes and cloud integrations

Cloud platform: deploy projects, manage domains, DNS, env vars, checks and team access

MCP server hosting: deploy and monitor servers, manage API keys, billing and chat models

Platform backend: manage organizations, apps, spaces, agents, artifacts, builds and devices

Desktop app backend: manage MCP tunnels, agent meshes, OAuth clients, releases and billing webhooks

Error monitoring: manage projects, issues, releases, teams, dashboards and notebooks via API

Developer platform: manage files, repos, packages, email, secrets and scheduled jobs via API tokens

Hub platform: manage models, datasets, Spaces, discussions, users and orgs via REST

Containers: create and run containers, manage images, networks, volumes, swarm services and plugins

Testing voice and chat AI agents: simulate calls, run evals, monitor uptime and dashboards

Uptime monitoring: create checks, manage status pages, incidents, maintenance and alert channels

Code hosting: manage repositories, pull requests, issues, Actions, gists and Git data

Code hosting: repositories, pull requests, Actions, issues, gists and security alerts on GitHub

Workflow scheduling: define DAGs, run and monitor DAG executions, manage queues and backfills

Benchmarking: run performance tests, track measures, alerts and runners for projects

SQL auditing: create audit tasks and scan plans, manage rules, whitelists and workflows

Code search, repository browsing, git history and diffs, symbol navigation, and enterprise user management

Platform backend: accounts, auth, file uploads, event logging, realtime config, MCP and CLI workspace apps

Test automation and uptime monitoring: run Playwright and k6 tests, manage monitors, jobs and alerts

Schema registry: store and version event schemas and API designs, with rules for compatibility

Observability pipelines: manage sources, destinations, pipelines, worker groups, packs and collectors

IT operations: manage alerts, on-call schedules, escalations, heartbeats, integrations and audit logs

LLM tracing and evaluation: manage datasets, runs, experiments, feedback, prompts and workspaces