Observability 2.0 centers around “wide events,” breaking down the silos between metrics, logs, and traces. This article outlines the core ideas and technical challenges of this new paradigm, and introduces how GreptimeDB, a native open-source database for wide events, provides a unified and efficient foundation for next-gen observability platforms.

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Observability 2.0 moves beyond the traditional three pillars of metrics, logs, and traces to adopt wide events, which serve as high-cardinality, context-rich data sources for comprehensive system insights. GreptimeDB, an open-source database, is designed to support this new paradigm by efficiently storing and processing wide events. It offers features like high-throughput real-time data ingestion, query APIs, and integration with existing tools like OpenTelemetry. The shift aims to eliminate data silos, reduce redundant data, and enable flexible, scalable observability solutions.

Observability 2.0 and the Database for It

What is Observability 2.0 and Wide Events ​

Challenges of Observability 2.0 Adoption ​

What shapes the database for observability 2.0 ​