1 个仓库
Extracting performance metrics from relational databases via SQL queries.
Distinct from LLM SQL Querying: Focuses on extracting observability metrics from SQL, not LLM interaction or UI editors.
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This project provides an observability data pipeline designed to collect, transform, and route logs, metrics, and traces from diverse sources into standardized formats for analysis. It operates as a plugin-based component architecture using modular receivers, processors, and exporters to move telemetry data through sequential processing chains. The system utilizes an interface-driven component model that allows for interchangeable connectors and community-contributed extensions. It distinguishes itself through a domain-specific language for telemetry filtering, metadata-based resource attribu
Extracts metrics from SQL databases using custom queries and column-based filtering.