TLDR Tech / Data
Building Self-Healing Data Pipelines at Halodoc
Build targeted self-healing layers for recurring pipeline failures: CDC auto-restarts with safe checkpoint rewind, source-vs-lake consistency checks, size-aware mini-batching, Spark retry memory scaling, warehouse lock cleanup using query watermarks, and dependency-aware backfills. The design pattern is: alert first, validate eligibility, recover safely, measure impact. Results included CDC recovery dropping from 45+ min to <5 min and backfill setup from 4-8 h to <15 min.
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