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NOTE: After clone of this project the following 2 git commands must be run in order to also clone the source

  • git submodule init
  • git submodule update

Pronghorn Powered by CloudBees

Pragmatic approach to a staged event driven single machine embedded micro-framework.

  • Garbage free message passing design eliminates garbage collector stalls providing predictable data rates.
  • Lock free non-blocking message passing enables cores to make continuous progress at all times.
  • Staged pipeline scheduler enables optimization of the workload across cores.
  • Small memory footprint
  • Smart thread scheduling


Please refer to the website for documentation, how to get started, and examples.

For a catalog of all availables stages and schemas, please click here.

JavaDocs are available here:


Below is a recorded live demo of an application written using Pronghorn that quickly encodes and decodes JPG to raster (such as BMP) and vice versa.

Every Pronghorn project receives an automatically generated, live telemetry page such as the one featured below.

Decoding JPGs GIF Encoding JPGs GIF

Why Pronghorn?

1. Broad compatibility

  • Java profile compact1
  • No use of Unsafe, Java 9 module compatibility

2. Simple concurrency model

  • Quickly write correct code with actors
  • Easily leverage hundreds or more cores
  • All pipes are defined as produced from one actor and consumed by one other

3. Separation of design concerns

  • Business aware scheduling

    • Actors who do not have work are not scheduled
    • Schedulers can be custom designed or existing solutions applied
  • Strong types generated externally

    • Types between actors are externally defined
    • New fields can be added and mapped to new business specific usages

4. Multiple APIs

  • Embedded friendly use of wrapping arrays
  • Integrate with a wide variety of existing interfaces
  • Visitors for reading and writing
  • Object proxies for reading and writing
  • Zero copy direct access to input and output fields
  • Replay of messages until they are released

5. Simple debug and refactoring

  • Messages have full provenance and actor chain upon exception
  • Test framework supports automated regression test construction for refactor
  • Fuzz testing based on message pipes definitions
  • Generative contract testing based on behavior definitions for stages

6. Static memory allocations

  • No need to release memory and no GC
  • Simplify memory usage analysis of the application
  • Minimize runtime failures, including out of memory

7. Copy preferred over lock usage

  • No stalled cores, block free, wait free, continuous progress
  • Efficient power usage
  • Leverages new fast memory subsystems
  • Enables efficient NUMA usage

8. Sequential memory usage

  • Leverages CPU pre-fetch and caches for fastest possible throughput
  • Persistence and immediate start up for free with non-volatile memory
  • All media is sequential, mechanical sympathy
  • Maximum use of hardware bandwidth

9. Software sketches

  • Extensive requirements gathering put into a graph
  • Involve non-technical people in the early stages
  • Refine the design before making any commitments, or beginning iterations

10. Minimized deployed application

  • For embedded systems, only the needed applications and interfaces are deployed
  • Configuration is done at compile time
  • Ultra-small attack surface
  • Scales well in docker and cloud deployments
  • Targets absolute minimum resources consumed


To use this in your Maven project, add the following dependency:


For more technical details please check out the file. Looking for the release jar? This project is under active development.

Please consider getting involved and sponsoring the completion of Pronghorn

Nathan Tippy, Principal Software Engineer OCI
Twitter: @NathanTippy