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High-Performance In-Memory Message Broker with Scalable Tree Data Structures

scalac.io

Gambling

Gaming

Sports

Challenge

Ematiq requires a message broker capable of handling extremely high-velocity updates to an in-memory data structure (specifically tree data structures) and delivering these updates to relevant subscribers with sub-millisecond latency. Existing solutions are not meeting the stringent performance requirements, hindering the scalability and responsiveness of their core business operations.

About the Client

A cutting-edge technology company specializing in innovative backend solutions for high-performance applications, particularly in the sports betting industry.

Project Objectives

Develop a message broker with the ability to process 50,000 leaf updates per second.
Ensure message delivery to subscribers within 1 millisecond of the corresponding data update.
Implement a robust and scalable architecture to handle increasing data volumes and subscriber counts.
Maintain data consistency and integrity across the message broker.
Provide a user-friendly Domain Specific Language (DSL) for easy integration and configuration.

Functional Requirements

Support for tree data structures as the underlying data model.
Publish-subscribe messaging model with flexible subscription patterns.
Low-latency message delivery (target: < 1ms).
Support for wildcard subscriptions.
A refined DSL for configuring message routing and data structures.
Client libraries for various programming languages.
Comprehensive monitoring and logging capabilities.

Preferred Technologies

Akka Actors

Akka gRPC

gRPC

Raw TCP (for performance optimization)

Integrations Required

Existing backend services (specify integration points).
Monitoring and logging platforms (e.g., Prometheus, Grafana).

Key Non-Functional Requirements

High performance (low latency, high throughput).
Scalability (ability to handle increasing data volumes and subscriber counts).
Stability and reliability.
Security (data encryption, access control).
Observability (monitoring, logging, tracing).

Estimated Impact

Successful implementation will significantly improve the responsiveness and scalability of Ematiq's backend services, enabling them to handle higher transaction volumes, reduce latency for subscribers, and maintain a competitive edge in the sports betting market. Improved performance directly translates to increased revenue potential and enhanced customer satisfaction. Furthermore, the robust codebase will reduce development and maintenance costs in the long term.