LakeOps Information

LakeOps is an autonomous control plane for Apache Iceberg lakehouses. It continuously keeps Iceberg environments healthy, optimized, and cost-efficient by combining lake-wide observability, intelligent table maintenance, query-aware optimization, governance, and multi-engine workload control in one platform. LakeOps analyzes table health, file layout, manifests, snapshots, delete files, metadata, and query telemetry, then automatically decides when and how to optimize each table. It automates operations such as: - Compaction and file layout optimization - Snapshot expiration - Manifest optimization - Orphan file cleanup - Delete-file optimization - Query-aware table optimization - Policy-based maintenance and governance - Multi-engine query routing - Change simulation - MCP interfaces and SQL guardrails for agentic AI workloads Its high-performance Rust compaction engine combines table state with workload telemetry to optimize data layout around how tables are actually queried. In production, LakeOps has delivered 60–80% cost savings and 8–12× faster queries while replacing manual maintenance and static cron jobs with continuous automation. LakeOps is designed for teams running Apache Iceberg at scale across multiple catalogs, object stores, and query engines. It works with the existing lakehouse stack without moving data or replacing storage, catalogs, or compute engines. LakeOps Enterprise provides a secure, enterprise-grade platform built to manage thousands of tables and petabytes of data with centralized observability, automation, governance, and control. See how LakeOps works: https://lakeops.dev/ Technical guides and resources: https://lakeops.dev/blog