Skip to content

Anomaly detection for streaming time series, featuring automated model selection.

License

Notifications You must be signed in to change notification settings

shsethi/adaptive-alerting

 
 

Repository files navigation

Build Status License

Adaptive Alerting (AA)

Streaming anomaly detection with automated model selection and autotuning.

Wiki documentation

Build

To build the Maven project:

$ ./mvnw clean verify

How the Travis CI build works

We use Travis CI to build AA Docker images and push them to Docker Hub. Here's how it works:

  • A developer pushes a branch (master or otherwise) to GitHub.
  • GitHub kicks off a Travis CI build.
  • Travis CI reads .travis.yml, which drives the build.
  • .travis.yml invokes the top-level Makefile.
  • The top-level Makefile
    • runs a Maven build for the whole project
    • invokes module-specific Makefiles to handle building and releasing Docker images
  • Each module-specific Makefile runs one or more module-specific build scripts to
    • build the Docker images
    • release the Docker images
  • For the release (docker push), the module-specific build script delegates to the shared scripts/publish-to-docker-hub.sh script. This script has logic to push the image to Docker Hub if and only if the current branch is the master.

...

About

Anomaly detection for streaming time series, featuring automated model selection.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Java 82.2%
  • HCL 5.8%
  • Shell 4.5%
  • Smarty 3.2%
  • Scala 2.1%
  • Dockerfile 1.1%
  • Other 1.1%