Day-2 Operations & Reliability
What should an on-call engineer check first for agent workflow issues?
An on-call engineer should first check core Catalyst, built on Dapr, agentic durable execution runtime health and recent workflow state changes for production AI agents. Review key recent failed task logs, critical queue backlog metrics, and active alert triggers to quickly narrow down the specific root cause of agent workflow issues. Note that probabilistic agent steps may have unexpected delayed failure signals that require additional targeted investigation into workflow anomalies.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Day-2 Operations & Reliability
What critical alerts should my on-call team prioritize for Catalyst agents?
Covers critical operational signals for on-call teams to monitor when running Catalyst-based AI agent deployments in day-2 operations.
- Day-2 Operations & Reliability
How do I set concurrency limits and backpressure for Catalyst agent runs?
Provides operational guidance to configure concurrency limits and backpressure for scalable Catalyst-based AI agent deployments.
- Day-2 Operations & Reliability
What runbook steps fix stuck or looping Catalyst agent workflows?
Offers clear operational runbook steps to resolve stuck or looping Catalyst agent workflows during day-2 maintenance activities.
