Telemetry

Product

One path from structured events to shared action

Ingest useful events, explore new fields, write inspectable SQL, turn results into dashboards, and alert people when a meaningful signal changes.

Structured event ingestion

Turn application behavior into queryable event tables

Send pragmatic JSON events for product flows, APIs, jobs, webhooks, agents, and business operations. Telemetry creates and evolves the table schema so the data is ready for SQL.

Explore capability

SQL workbench and Query API

Ask detailed questions with the same SQL humans and agents can inspect

Run DataFusion SQL over recent and historical event data, save important queries, export larger results asynchronously, and use the output in dashboards or downstream systems.

Explore capability

Explore

Filter, aggregate, and visualize a table without starting from blank SQL

Explore gives operators and product teams a fast path from event fields to samples, tables, lines, bars, and stacked areas while keeping the generated query visible.

Explore capability

Shared dashboards

Keep operational and product signals readable in one shared view

Combine Explore results, SQL query charts, result tables, section headers, and explanatory notes into dashboards that coding agents can seed and humans can refine.

Explore capability

Threshold alerts

Notify people when a queryable signal moves outside its expected range

Create threshold alerts from Explore or SQL results, evaluate complete time-series points on a schedule, and deliver actionable context to email recipients.

Explore capability

AI-assisted analysis

Turn a plain-language question into SQL you can inspect and improve

Use table metadata and a focused prompt to get a first DataFusion query or visualization plan, then review the generated logic against the schema and real result.

Explore capability

Start with one workflow and one answer

Telemetry does not require an all-at-once observability rollout. Instrument the workflow that creates the most uncertainty, verify its events, build the first useful query, and expand from evidence.