Pinterest's Practice in Building Spark Job Diagnostic Agents
AI Engineer · youtube · 2026-07-20
Pinterest engineers shared their experience building a Smart Diagnostic Agent aimed at solving the time-consuming pain point of troubleshooting Spark job failures in large-scale data engineering.
Core Design & Challenge Resolution:
- Architecture Design: Built around modular capabilities like log parsing, pattern recognition, root cause inference, and repair suggestions, deeply integrated with Spark and platform metadata.
- Evaluation & Testing: Continuously measures inference quality and safety by building a corpus of real-world failures and converting them into regression tests.
- Production Constraints: While pushing production limits, the team focused on solving challenges like prompt and tool design, handling log ambiguity, reducing hallucinations, inferring from partial/noisy signals, and balancing automation with human oversight.
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