observabli

Observabli is a term used in discussions of system observability to describe an integrated approach that combines traditional software observability with data observability. It emphasizes visibility into both the behavior of services and the quality and lineage of data as it flows through pipelines.

The core idea of Observabli is that monitoring should cover multiple layers: telemetry from applications (metrics, logs, traces), data truth (quality, freshness, schema compliance, lineage), and pipeline health (infrastructure, queues, workers). Observabli advocates a unified data model and consistent instrumentation across components to enable cross-domain queries and analysis.

Architecturally, an Observabli stack includes instrumented services that emit trace and metric data, collectors and brokers, a processing layer that enriches signals, centralized stores for time-series data and data-quality metadata, and an analysis layer that may incorporate AI or ML. Dashboards and alerting rules provide visibility, while data contracts and schemas align representations across teams and tools.

Standards and interoperability are central to Observabli, with an emphasis on open formats and adapters to connect with existing tooling ecosystems. By reducing tool fragmentation, it aims to support end-to-end observability across both application and data infrastructure.

Adoption of Observabli is typically described as a design principle rather than a single product. Organizations may implement it gradually by extending instrumentation, introducing data-quality checks, and establishing governance around data contracts, lineage, and access controls to improve debugging and decision-making. Related concepts include observability, data quality, data lineage, and OpenTelemetry.