Advanced log management and analysis for a unified observability experience

Advanced log management and analysis for a unified observability experience

Ingest logs at petabyte scale with ease for your entire stack

  • SnappyFlow’s advanced compression algorithms can reduce storage requirements by 40 time reducing storage costs.
  • SnappyFlow uses a Custom log parsing language to extract useful information from unstructured logs.
  • Simple, effective with efficient CPU usage.

Parse logs in real time and extract useful information

  • Run advanced queries to extract useful information from logs. Allows processing of unstructured logs and enhances it by adding metadata extracted from the log
  • Effective to extract meaningful information from raw log data. Thus, pinpointing bottlenecks and bugs without sifting through millions of lines of logs.

Save on storage costs with
40X log compression

  • SnappyFlow’s advanced compression algorithms can reduce storage requirements by 40 times and reduce storage costs.

Search live and archived logs

  • Log search is available for both live and archived logs.
  • Achieve the perfect balance between retention period and costs with advanced archival.

Reduce troubleshooting times with contextual insights

  • SnappyFlow brings together logs, metrics and traces in one platform providing contextual information for each log.
  • Navigate from logs to related metrics and traces without losing application context.

Simple query language

  • SnappyFlow uses a custom log parsing language to extract useful information from unstructured logs.
  • This keyword driven, easy to adopt querying approach is simple, effective with efficient CPU utilization effective.
  • A query language purposely built for log management and made easy to use for Devops engineers, SRE’s and non-technical users with no coding background.