Metrics form the backbone of observability as it helps developers define key KPIs for infrastructure health. However, metrics solutions face unique challenges : handling large data volumes, ensuring data quality, scaling to meet evolving system needs, and contextualizing metrics with other data sources. They must also provide customizable alerting and visualization capabilities while remaining cost-effective.

SigScalr’s innovations in metrics storage and retrieval allows the ingestion of a high number of unique time series and cardinality. Our custom storage formats, encoding, and query engines allow for blazing fast ingestion and queries with minimal infrastructure requirements.

  • Filter through >4M unique series containing billions of datapoints within 100ms
  • Agile Tags Tree helps provide consistent query performance regardless of cardinality.
  • Contextualize metrics with other data sources
  • Provides a comprehensive understanding of your application performance.