Amazon OpenSearch Serverless Adds Time Series Collections That Scale With Telemetry Surges

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Amazon has introduced time series collections in OpenSearch Serverless, designed for logs, metrics, traces, and events. The collections scale compute within seconds during telemetry spikes and release it down to zero once the surge subsides. Recent data remains in a hot tier, while older data moves to a cheaper warm tier that stays searchable. Alerting and anomaly detection run on the same collection holding the data, with up to 100 TB of hot storage per collection. The article uses agent traces as an example, since agent activity produces bursty telemetry that can spike on unpredictable schedules.

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