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llfix Live Cloud Demo

This repository contains the live cloud demo for llfix.

The llfix FIX server is publicly accessible and runs continuously on a basic AWS EC2 instance with limited CPU and memory resources. This demonstrates llfix's efficiency and suitability for always-on 24/7 trading systems, where predictable resource usage and long-term stability are critical.

A public Grafana dashboard provides real-time server statistics, including process RSS memory usage and uptime. The dashboard demonstrates llfix's low memory footprint and operational stability during continuous operation.

The demo is intentionally deployed on a minimal cloud environment rather than dedicated high-performance hardware, showing that llfix can deliver low resource consumption even on constrained infrastructure.

Architecture diagram

You can view the public Grafana dashboard here:

https://gallantgravy37.grafana.net/public-dashboards/86bfd130cd0a4b9fac04e49942a07209

Note that metric updates may take a short while to appear in Grafana.

The FIX server responds to all incoming NewOrderSingle messages (35=D) with fully filled ExecutionReport messages (35=8).

To connect to the server and send orders, you can use the session details below:

Parameter Value
IP 13.41.188.117
Port 5030
Target Comp ID EXECUTOR
Defined client comp ids you can use CLIENT1 CLIENT2 CLIENT3 CLIENT4 CLIENT5 CLIENT6 CLIENT7 CLIENT8
Logon message reset flag 141=Y (ResetSeqNumFlag=Y)

Alternatively, you can use the 'clients' application in this repository to connect to the server and send orders.

To build it:

  1. git clone https://github.com/CorewareLtd/llfix.git
  2. Copy the 'clients' folder into the examples directory
  3. cd into examples/clients directory
  4. To build:
mkdir build
cd build
cmake ..
make

For any questions, please contact us at enquiries@llfix.net.

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Public live cloud demo of llfix, with a test FIX server, sample clients app, and Grafana monitoring

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