Unified Developer Platform

One unified IDPInternal Developer Platform for self-service developer workflows, reliability, and governance.: service catalog, self-service actions, SRE, and tech radar— with AI co-pilots built in for Day 2 OpsDay 2 Ops is the post-launch slice of the SDLC: run, observe, and safely change software already in production—not the initial build and ship. 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 a big-bang release..

Everything you need, nothing you don't!

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Core Platform Features

Monitoring, automation, governance, and AI workflows in one unified developer platform.

Monitoring & Incident Management

Triage, collaborate, and resolve with a unified workflow from alert to postmortem.

What's included

Monitoring

Synthetic checks, uptime monitoring, heartbeats, SSL expiry, and deep visibility across your stack—so you catch issues before users do.

Third-party monitors

Aggregate public vendor status and incident feeds in one place—see when AWS, GitHub, Datadog, or other dependencies are down without tab-hopping.

Status boards

Live boards for components, active incidents, and subscriber-facing updates—one place to communicate health during outages.

On-call

Rotations, escalations, and paging aligned with your services and teams—route alerts to the right people with clear ownership.

AI Copilot for Day2 Ops

MCP in your IDE: Everything from the dashboard is available as tools over MCPModel Context Protocol, a standard for exposing product actions as tools in AI assistants and IDEs. in your editor and AI clients—including Cursor and Claude.

Coming soon

Automation

Automate workflows and provision infrastructure on demand for Day 2 Ops.

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.

Governance & Compliance

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.