A check failed. What can your agent learn from it?
On Aug 18, Stefan uses MCP to inspect results and start Rocky AI analysis, then switches to CLI to show how monitoring lives in the repo.
See both paths live.
hubs.ly/Q04rsfZ30
Checkly
@checklyHQ
Test and monitor your apps and APIs at scale!
A modern Monitoring as Code workflow for developers: programmable, fast, reliable.
status: @checklyHQstatus
- CLI or MCP? Use the CLI when monitoring lives in your repo. Use MCP to find what's broken right now. Use both when the workflow needs repo and account context. See it live with Stefan on Aug 18. hubs.ly/Q04rswFx0
- Your agent can work with your monitoring too. The CLI writes and tests monitoring as code. MCP reads and acts on live results. On Aug 18, Stefan puts both paths to work live. hubs.ly/Q04rswqt0
- New on the Checkly blog: how @upstash monitors every Redis replica 🦝 by @ilterkavlak ~200 Checkly monitors, all defined in Terraform. Every replica checked every minute from 18 locations, plus an end-to-end QStash check that proves messages actually get delivered.
- Last week, we hosted a live walkthrough of Agentic Checks. You cannot monitor unpredictable things in a predictable way. That is the idea behind Agentic Checks: monitor the intent when the path keeps changing. Watch the clip, then catch the full webinar on demand:
