Endpoint requests, ingestion operations, Kafka messages, sink executions, and job runs. Five sources, one page, zero tab-switching.

Tinybird is a real-time data analytics platform for building fast and scalable data pipelines, offering tools for data ingestion, processing, and visualization. From this blog users can learn about stream processing, data warehousing, and analytics techniques to unlock insights from their data and make data-driven decisions.

Tinybird

Tinybird has launched a unified Logs page that consolidates all operational logs from a workspace into a single timeline. Previously, debugging required checking separate log sources for endpoints, data sources, Kafka connectors, sinks, and jobs. The new Logs page merges all five sources with composable filters for time range, source type, error status, HTTP status codes, and free-text search. Filters persist in the URL for easy sharing. Clicking a resource opens a split-screen detail panel. A new `tb logs` CLI command provides the same unified view in the terminal, supporting JSON output, custom time ranges, source filtering, and piping into tools like jq.

A unified logs explorer for your entire Tinybird workspace