
AI Summary
New open-source project Cerberus aims to unify observability data by translating PromQL, LogQL, and TraceQL queries for ClickHouse storage.
- •Software engineer Thiago Souza released Cerberus, a tool translating PromQL, LogQL, and TraceQL queries for ClickHouse storage.
- •The project aims to simplify observability workflows by allowing developers to use familiar query languages against ClickHouse infrastructure.
- •Documentation and performance benchmarks remain sparse, leaving questions about how the tool handles high-cardinality data compared to native solutions.
Thiago Souza has introduced Cerberus, a new open-source project that bridges observability query languages with ClickHouse databases. The tool provides translation layers for PromQL, LogQL, and TraceQL, allowing teams to query metrics and logs without needing dedicated TSDB hardware. However, since the repository is in its initial release, testing documentation and stability reports for production environments are currently unavailable. Whether Cerberus offers a viable alternative to existing observability stacks depends on its latency benchmarks under heavy write loads.
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