Introducing the next generation of serverless time series for Amazon OpenSearch Service

This article introduces the next generation of serverless time series collections for Amazon OpenSearch Service, featuring architectural improvements for managing demanding time series workloads.

• Autoscaling in seconds with compute added on-demand, up to 20 times faster than previous architecture
• Scale to zero capability reduces costs by eliminating charges during idle periods after 10 minutes
• Data tiering transitions indices from hot tier (fast, low-latency) to warm tier (infrequent access) based on age
• Complete separation of compute from storage with S3-backed durability for long-term data retention
• Flexible timestamp field control allows custom time fields instead of default @timestamp
• Data retention policies decouple query performance from data retention duration for compliance needs
• Integration with next-generation OpenSearch UI provides observability workspace with alerting and anomaly detection

Next-generation serverless time series collections eliminate capacity planning compromises by providing elastic, affordable infrastructure that automatically scales to meet workload demands while maintaining data durability and compliance requirements.