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DataOps AI Agent That Fixes Pipeline Failures

Client: US delivery-tech unicorn

A LangGraph multi-agent system that monitors Dagster, reads failure logs with an LLM and applies known fixes without paging an engineer.

The Challenge

Engineers were being woken up for pipeline failures that had well-known fixes, such as out-of-memory errors and stuck PostgreSQL replication slots.

Our Solution

Built a multi-agent system with LangGraph that monitors Dagster, uses an LLM to read failure logs, and applies the known fix: it scales compute and restarts the job, or for replication alerts it stops the job, removes the stuck slot and starts a partial refresh.

Outcomes

Common failures fixed automatically, without paging an engineer

Replication-slot incidents handled end to end

Agent actions visible in Grafana

Technologies

LangGraphLLMsDagsterPostgreSQLGrafana

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