Cursus · 8 hoofdstukken
On-Call with AI
Fight ordinary production outages with AI agents: wire one into your telemetry, triage, debug live, verify the root cause, and decide exactly what it may touch in prod. All hands-on work runs on a provided lab.
Wat je zult kunnen
- Seven chapters, one lab, and a clear line between what your agent can read today and what it earns the right to touch later.
- Wire a read-only agent into your logs, metrics, and traces, then keep the same setup ready for Datadog or New Relic.
- Turn a raw 3am page into a sourced, four-question incident brief in under two minutes.
- Run a hypothesis loop with an agent against a real, scripted outage, and keep the playbook that finds it again.
- Chase a bad deploy past its red herring to a cause a human can verify in five minutes.
- Turn a messy prose runbook into steps an agent can run safely, with approval gates where it matters.
Wat erin zit
- 1On-Call with AI: Start Here
Seven chapters, one lab, and a clear line between what your agent can read today and what it earns the right to touch later.
- 2Your Stack, Agent-Ready
Wire a read-only agent into your logs, metrics, and traces, then keep the same setup ready for Datadog or New Relic.
- 3Alert Triage with an Agent
Turn a raw 3am page into a sourced, four-question incident brief in under two minutes.
- 4Live Debugging Under Pressure
Run a hypothesis loop with an agent against a real, scripted outage, and keep the playbook that finds it again.
- 5Root Cause Analysis That Holds Up
Chase a bad deploy past its red herring to a cause a human can verify in five minutes.
- 6Runbooks Agents Can Execute
Turn a messy prose runbook into steps an agent can run safely, with approval gates where it matters.
- 7Guardrails: What the Agent Touches in Prod
Write the policy that decides what your agent can read, what it can propose, and what it can never do alone.
- 8Postmortems & the Learning Loop
Draft a blameless postmortem with an agent, file it with owned action items, and track whether the rotation is actually improving.
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