The Bitflow Project

Bitflow is an open source project developed at the Complex and Distributed IT Systems Group at the technical university of Berlin. It was first mentioned to be a framework to fast and easily implement and test machine learning based anomaly detection algorithms for automated cloud monitoring. The core functionallity is written in Java, GO and Python. Bitflow allows to read data from sources and process them in arbitrary ways. Compared to big data Frameworks like Apache Flink, Bitflow does not require dedicated hardware, its mentioned to run beside the actual workload.

Missing documentation:

1. Pipelines
2. Naming conventions in implementations:
   1. Naming of processing steps and parameters
   2. Naming of types in the code
3. Processing steps supported in all implementations:
   1. Filters
   2. Forks
4. Command line flags supported in all implementations
   1. Examples on how to start CLI tools. Docs for individual tools.