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 commonplace to an observability discipline that badly wants to interrupt out of its siloed heritage.
It isn’t that observability has totally resisted requirements. OpenTelemetry is a well-adopted mannequin for gathering metrics, logs, and traces. However as soon as that information lands, most stacks nonetheless fragment it into silos. Becoming a member of observability with enterprise information sometimes means exporting, duplicating, or downsampling. It’s a expensive and error-prone course of that makes easy questions, resembling “Which prospects have been affected by an outage?” or “What was the income influence?” right into a bespoke information challenge.
Iceberg standardizes how giant analytical information units are saved and developed on object storage, with ACID transactions, snapshot isolation, time journey, and schema evolution. It’s a impartial desk layer that any suitable compute engine can use, together with Spark, Flink, Trino/Presto, Dremio, and the foremost cloud information platforms. That turns telemetry into first-class information that lives alongside buyer, finance, and product tables with out limitless copy pipelines.
