Anomalies detection system for periodic metrics.

• Designed for periodic metrics.
• Easy to get started.
• Automatically anomalies detection.
• Alerting rules admin panels.
• Detection result visualization.
• Built for a large quantity of metrics.

• Go>=1.4
• godep

1. Run make.
2. Run ./banshee -c <path/to/config.json>.

The default configuration is exampleConfig.json.

1. Install statsd-banshee on the statsd servers: npm install statsd-banshee.

2. Add module statsd-banshee to statsd's backends:

   {
   , backends: ['statsd-banshee']
   , bansheeHost: 'localhost'
   , bansheePort: 2015
   }

See alerter/exampleCommand.

Very simple line-based:

<Name> <Timestamp> <Value>\n

For example:

$ telnet 0.0.0.0 2015                                                                                                                                                                                            18 ↵ (go1.5.2 node@v5.0.0)
Trying 0.0.0.0...
Connected to 0.0.0.0.
Escape character is '^]'.
counter.foo 1451471948 3.14

1. Anomalies detection: 3-sigma.

   if abs(v-avg) > 3*stdev:
       return True  # anomaly

2. Metric trendings following: ewma and ewms:

   avg_old = avg
   avg = avg*(1-f) + v*f
   stdev = sqrt((1-f)*stdev*stdev + f*(v-avg_old)*(v-avg))

MIT Copyright (c) 2015 - 2016 Eleme, Inc.