Best of Tinybird — March 2025

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   Article

   Tinybird·1y

   Local first.

   Tinybird introduces Tinybird Local, a Docker container that allows developers to run a full instance of Tinybird's data processing platform on their laptops. This local-first approach enables development, testing, and deployment of data applications both locally and in the cloud seamlessly. The container includes core Tinybird functionalities and several optimizations for performance but lacks some cloud-specific features. The initiative aims to provide a more controlled, offline, and versatile development environment.

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   Article

   Tinybird·1y

   Writing tests sucks. Use LLMs so it sucks less.

   The post discusses the challenges and solutions for testing in data engineering. It highlights several key obstacles, such as data variability, complex transformations, and lack of tooling. Tinybird aims to address these issues with tools like 'tb mock' for generating realistic test data, and 'tb test' for validating data transformations. The use of LLMs to handle mundane aspects of test generation is emphasized, making testing less tedious and more efficient.

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   Article

   Tinybird·1y

   Run Tinybird on your own infrastructure

   Tinybird Self-Managed is now available in beta, allowing users to deploy Tinybird's real-time data platform on their own AWS infrastructure, with support for GCP and Azure coming soon. This version provides greater control over data environments, integrating with private data sources and optimizing hardware resources as needed. Future updates will include expanded cloud support, automated upgrades, and advanced monitoring.

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