Developer tools

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

Uptime monitoring: configure HTTP, port and ping checks, track incidents, alert channels and status pages

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

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

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

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

Platform backend: manage organizations, apps, spaces, agents, artifacts, CI nodes and billing

Desktop app backend: auth, agent mesh, MCP routing, releases, plans and webhooks

Tile and skill catalog for AI agents, plus workspaces, projects, evals, code reviews and org admin

Webhooks: send signed events to customer endpoints with retries, receive and replay incoming events

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

Error monitoring: manage issues, events, releases, projects, teams, monitors and alerts

Containers, images, volumes, networks and swarm clusters: create, inspect and manage Docker Engine resources

Platform engineering: deploy apps, manage pipelines, environments, and Terraform modules across AWS, GitHub, and GitLab

Integration platform: proxy API calls, manage connections, AI agents, webhook relays and skills

Developer tooling: analyze builds, tests, cache, runners and sandboxes for Xcode, Gradle and Bazel projects

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

AI code review: manage reviews, coding tasks, security findings, Verify, Triage and Knowledge Base

Mobile app over-the-air updates: publish releases and patches, manage channels, collaborators and build history

Network monitoring: query alarms, incidents, objects and data collection values, and manage users and scripts

Workspaces, users and templates: manage dev environments, members, audit logs, AI providers and agent chats

Linux and Docker monitoring: host and container CPU, memory, disk, network and traffic metrics, current and historical

Code review: track pull requests, evaluation datasets, libraries, docs and LLM settings