We're always releasing new features for TimescaleDB, a fully-managed relational database service for time-series data, including the Public Preview of Timescale Cloud, which offers a fully-managed cloud service with independent scaling of compute and storage. The team has also released TimescaleDB 1.7.2, which includes updates to continuous aggregates, downsampling, and compression. Additionally, they've created step-by-step guides for connecting with various programming languages, such as Python, Ruby, and Node.js, to get started with Time-series analysis using TimescaleDB. The community has also been sharing their experiences with TimescaleDB, including a fintech startup that chose the database for its scalability and a radio transmission analytics project using WsprDaemon. The team is proud to now offer two fully-managed relational database services for time-series data and will continue to release new content and events, including virtual sessions and community spotlights.