Unified Developer Platform
One unified IDP: service catalog, self-service actions, SRE, and tech radar— with AI co-pilots built in for Day 2 Ops.
Everything you need, nothing you don't!
Core Platform Features
Monitoring, automation, governance, and AI workflows in one unified developer platform.
Monitoring: Synthetic checks, uptime monitoring, heartbeats, SSL expiry, and deep visibility across your stack.
Third-party status aggregator: Aggregate public vendor status feeds in one place.
Status board: Live boards for components, incidents, and subscriber updates.
Oncall: Rotations, escalations, and paging aligned with your services and teams.
Self-Service Actions: Run workflows on demand for services after first ship.
Webhooks as a service: Managed inbound endpoints and reliable outbound delivery with signing, retries, and observability.
Service Catalog: Auto-discover workloads and services running in Kubernetes.
Governed changes: trigger from an AI agent, a developer in the console, an existing deploy (e.g. deploy #), or a webhook—then policy checks and approvals before production.
MCP in your IDE: Everything from the dashboard is available as tools over MCP in your editor and AI clients.
Data Foundation
Agents and integrations ingest real-time signals—commits, resources, vulnerabilities, and work items—and fuse them into a single knowledge graph: services, teams, dependencies, and risk linked across your stack.
Examples
- GitHub — repos, ownership, and delivery events anchor who builds what and how change flows into production.
- AWS — accounts, regions, and live resources (compute, data, networking) give where workloads run and how they connect to services you own.
- Snyk — findings, packages, and policies map dependency and risk edges to the right services and teams for remediation.
- Linear — issues, projects, and cycles tie planned work and incidents to services so actions stay grounded in context.
Operational Outcomes
Agents use Context Lake memory and intelligence to execute Day 2 Ops with strict guardrails and governance, keeping actions efficient, compliant, and continuously optimized.
Examples
- Restart or roll a service after an incident, with guardrails and audit trails
- Grant time-bound access to logs or prod—approved, expiring, and traceable
- Resize capacity, rotate secrets, or apply a patch outside of a big-bang release