Apache Iceberg is a mature open desk format that’s been battle-tested within the broader analytics world for years. Now it’s time to use the advantages of an open and scalable customary to an observability area that badly wants to interrupt out of its siloed heritage.
It isn’t that observability has solely resisted requirements. OpenTelemetry is a well-adopted mannequin for accumulating metrics, logs, and traces. But as soon as that information lands, most stacks nonetheless fragment it into silos. Joining observability with enterprise information usually means exporting, duplicating, or downsampling. It’s a pricey and error-prone course of that makes easy questions, reminiscent of “Which customers were affected by an outage?” or “What was the revenue impact?” right into a bespoke information challenge.
Iceberg standardizes how massive analytical information units are saved and advanced on object storage, with ACID transactions, snapshot isolation, time journey, and schema evolution. It’s a impartial desk layer that any appropriate compute engine can use, together with Spark, Flink, Trino/Presto, Dremio, and the most important cloud information platforms. That turns telemetry into first-class information that lives alongside buyer, finance, and product tables with out limitless copy pipelines.
