Time-series data is often collected at a higher rate than it's displayed, requiring downsampling or rolling up the data into larger granularities. However, when downsampled data is used with high-frequency data, time zone support is crucial to ensure accurate results. The new TimescaleDB 2.8 release introduces full time zone support for the `time_bucket` function, eliminating the need for workarounds and simplifying analytical requests that require time zone information. Users can now provide a time zone parameter to adjust day boundaries, months, and years accordingly. This feature was developed with community input and is available as part of the latest release, which also includes experimental support for policy management and speed improvements.