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.
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.
SnappyFlow’s advanced compression algorithms can reduce storage requirements by 40 times and reduce storage costs.
Log search is available for both live and archived logs.
Achieve the perfect balance between retention period and costs with advanced archival.
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.
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.