Adaptive Alerting Save

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

Project README

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Adaptive Alerting (AA)

Streaming anomaly detection with automated model selection and fitting.

Wiki documentation

Build

To build the Maven project:

$ ./mvnw clean verify

To build the Docker images:

$ make docker_build

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.
Open Source Agenda is not affiliated with "Adaptive Alerting" Project. README Source: ExpediaGroup/adaptive-alerting
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