Scaling Apache Iceberg: When DIY Operations Become Unmanageable

Apache Iceberg adoption has reached critical scale—58% of enterprises now rely on it for business-critical analytics—but operational reality reveals a hidden complexity: file compaction, snapshot expiration, and data governance that teams typically handle with fragile Airflow scripts. This guide addresses the six maintenance operations that determine whether a production Iceberg deployment succeeds or fails, and introduces how autonomous control planes like LakeOps manage them systematically.