  We deploy and demonstrate the CoinTossX low-latency, high-throughput,
open-source matching engine with orders sent using the Julia and Python
languages. We show how this can be deployed for small-scale local desk-top
testing and discuss a larger scale, but local hosting, with multiple traded
instruments managed concurrently and managed by multiple clients. We then
demonstrate a cloud based deployment using Microsoft Azure, with large-scale
industrial and simulation research use cases in mind. The system is exposed and
interacted with via sockets using UDP SBE message protocols and can be
monitored using a simple web browser interface using HTTP. We give examples
showing how orders can be be sent to the system and market data feeds monitored
using the Julia and Python languages. The system is developed in Java with
orders submitted as binary encodings (SBE) via UDP protocols using the Aeron
Media Driver as the low-latency, high throughput message transport. The system
separates the order-generation and simulation environments e.g. agent-based
model simulation, from the matching of orders, data-feeds and various
modularised components of the order-book system. This ensures a more natural
and realistic asynchronicity between events generating orders, and the events
associated with order-book dynamics and market data-feeds. We promote the use
of Julia as the preferred order submission and simulation environment.

Distributed, Parallel, and Cluster Computing;Multiagent Systems;Computational Finance;Trading and Market Microstructure