Simpler metric queries in Logfire
Blog post from Pydantic
Logfire has simplified the process of querying telemetry data by allowing users to write SQL queries for metrics without dealing with the complexities of exponential histogram calculations. Previously, querying histogram metrics required extensive manual coding, but now users can perform the same operations using concise SQL queries, thanks to a unified 'value' column and a set of 'metric_*' functions that automatically handle the complexities of different metric types. This update not only reduces the time and potential errors involved in writing queries but also optimizes the performance of dashboards and alerts. The new system enhances both human and AI interactions with the data by simplifying the syntax and improving the speed of query execution, while maintaining compatibility with existing queries through backward compatibility. This advancement allows for more efficient data analysis and visualization in Logfire's platform, making it easier to obtain observation percentiles and other statistical insights from telemetry data.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 4 | 6,196 | 1,155 | 243 | -32% |
| OpenTelemetry | 3 | 967 | 177 | 57 | +2% |
| Kubernetes | 1 | 2,148 | 318 | 105 | +9% |
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