3 of Your AI Agents Crashed and You Found Out From Customers

You have 20 agents running across 4 machines. Order processing, refunds, inventory sync, email notifications. They've been running fine for weeks. Monday afternoon, the order-processor agent on mac...

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3 of Your AI Agents Crashed and You Found Out From Customers

Source: DEV Community

You have 20 agents running across 4 machines. Order processing, refunds, inventory sync, email notifications. They've been running fine for weeks. Monday afternoon, the order-processor agent on machine-3 gets OOM killed. Process gone. No error. No alert. The refund-agent that depended on it starts hanging too. You find out at 5:45 PM when a customer emails: "My refund has been pending for 3 hours." The Monitoring Gap Nobody Talks About Traditional services have health checks. Kubernetes has liveness probes. Load balancers have health endpoints. When a web server dies, something notices within seconds. AI agents have none of this. LangGraph: No health monitoring. Agent runs or doesn't. CrewAI: No heartbeat. No fleet visibility. AutoGen: No built-in health checks across agents. Raw Python: Hope someone checks the process list. Your agent is a Python process. When it dies, it's just a missing PID. No health endpoint. No heartbeat. No dashboard showing 19/20 agents healthy. The standard an

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