Gerrrr commented on code in PR #28: URL: https://github.com/apache/hunter/pull/28#discussion_r1929955752
########## README.md: ########## @@ -4,409 +4,38 @@ Hunter – Hunts Performance Regressions _This is an unsupported open source project created by DataStax employees._ -Hunter performs statistical analysis of performance test results stored -in CSV files or Graphite database. It finds change-points and notifies about -possible performance regressions. - -A typical use-case of hunter is as follows: +Hunter performs statistical analysis of performance test results stored +in CSV files, PostgreSQL, BigQuery, or Graphite database. It finds change-points and notifies about +possible performance regressions. + +A typical use-case of hunter is as follows: - A set of performance tests is scheduled repeatedly. -- The resulting metrics of the test runs are stored in a time series database (Graphite) - or appended to CSV files. -- Hunter is launched by a Jenkins/Cron job (or an operator) to analyze the recorded +- The resulting metrics of the test runs are stored in a time series database (Graphite) + or appended to CSV files. +- Hunter is launched by a Jenkins/Cron job (or an operator) to analyze the recorded metrics regularly. - Hunter notifies about significant changes in recorded metrics by outputting text reports or sending Slack notifications. - -Hunter is capable of finding even small, but systematic shifts in metric values, + +Hunter is capable of finding even small, but systematic shifts in metric values, despite noise in data. -It adapts automatically to the level of noise in data and tries not to notify about changes that -can happen by random. Unlike in threshold-based performance monitoring systems, -there is no need to setup fixed warning threshold levels manually for each recorded metric. -The level of accepted probability of false-positives, as well as the -minimal accepted magnitude of changes are tunable. Hunter is also capable of comparing +It adapts automatically to the level of noise in data and tries not to notify about changes that +can happen by random. Unlike in threshold-based performance monitoring systems, Review Comment: How about [5ad2229](https://github.com/apache/hunter/pull/28/commits/5ad22291ac0f40f8237ed8a28c36d13cf9bc1e31)? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@hunter.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
