LakeOps - Autonomous Lakehouse Management

Autonomous Iceberg Lakehouse Optimization — Cut Costs, Fix Performance, Stop Firefighting

LakeOps is the autonomous control plane for Apache Iceberg lakehouses. It connects to your existing catalogs (Glue, Polaris, Nessie, S3 Tables) and engines (Spark, Trino, Snowflake, Athena, DuckDB, Flink), then continuously optimizes every table — without data movement, pipeline changes, or manual scripts.

What it does: query-aware compaction on a Rust engine (86% cheaper than Spark), coordinated snapshot expiration, orphan cleanup, manifest optimization, multi-engine cost-aware routing, layout simulations, fleet-wide observability, and organization-wide policies.

Production results: up to 80% cost reduction, 12× faster queries, 95% faster compaction.

This channel: real walkthroughs for data engineers running Iceberg at scale — diagnosing lakehouse waste, fixing table health, cutting cloud spend, and replacing maintenance toil with autonomous optimization.