FastScore DevHub

The FastScore DevOps Hub

Welcome to the FastScore DevOps hub. You'll find comprehensive guides and documentation to help you start integrating FastScore microservices into your infrastructure and deploying analytics as quickly and repeatably as possible, as well as support if you get stuck. Let's jump right in!

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Release Notes for FastScore v1.6.1


Version 1.6 of FastScore introduces multiple input and output streams connected to an engine, Octave and MATLAB runner, and access to the R SDK.


  • REST Transport and Python3 fixes
  • Stream Sampling for inline and REST transports
  • Model Schema is used when missing from Stream Descriptor
  • Loop is set to false by default in Stream Descriptors
  • Stream profiling sensors
  • S3 Authenticated Stream Transport

1.6.1 Model Deploy

  • Multiple I/O Streams

1.6 Features

  • Multiple input and output streams
  • Octave and MATLAB model language support
  • R SDK
  • 8 default sensors installed
  • Executable stream type
  • LDAP configuration through the dashboard
  • Ability to download assets from the dashboard
  • Authenticated Kafka stream type
  • Additional sub-commands in the CLI
  • General improvements to performance and stability

Additional Notes

JSON-format PFA models are not supported in the new version of the FastScore CLI and must be added through the dashboard. YAML-format PFA models are unaffected.

Release Notes for FastScore v1.6.1