<ul><li>Timescale Cloud database service is now handling a trillion metrics daily and storing nearly two petabytes of data.</li><li>This feat challenges the common belief that Postgres cannot scale effectively.</li><li>The operation runs entirely on Timescale Cloud without special treatment or hidden infrastructure.</li><li>The feature, Insights, provides detailed query analytics for Timescale Cloud users.</li><li>Initially collecting a dozen metrics per query, the database now captures significantly more data points.</li><li>The data volume has grown due to an expanding customer base, increased query loads, and enhanced metrics collection.</li><li>Despite the massive growth in data and queries, the architecture largely remains the same as described in the original post.</li><li>The use of continuous aggregates and tiered storage has helped to efficiently manage and query the vast amount of stored data.</li><li>Timescale's tiered storage, hypertables, and continuous aggregates have enabled efficient scaling and processing of massive workloads.</li><li>Insights has showcased that Postgres, when engineered for scale, can effectively handle immense workloads.</li></ul>

You, Too, Can Scale Postgres to 2 PB and 1 T Metrics per Day

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