BlipMQ simplifies real-time communication between microservices and distributed systems with a lightweight, blazing-fast broker that just works — no complex setup, no compromises.
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Updated
May 2, 2026 - Rust
BlipMQ simplifies real-time communication between microservices and distributed systems with a lightweight, blazing-fast broker that just works — no complex setup, no compromises.
A Scalable Chat Application, built using reactjs and express, and the architecture consists of 5 services. Used Redis and kafka for event streaming and decoupling responsibility providing real time updates.
This is a distributed logging system for microservices. It uses Python, Fluentd, Apache Kafka, and Elasticsearch to enable real-time log aggregation, monitoring, and alerting, ultimately enhancing operational visibility and system resilience.
Cut the overhead: tiny React state management with precise subscriptions and built-in batching.
Implementação back-end de um sistema de enquetes com atualização em tempo real de score.
Vanilla JS, Web Component, Store, PUB/SUB
This service will handle all the notification for order completion..
A python cross-file event emitter 一个跨文件Python事件发射器
⚡ Blazingly fast in-memory pub-sub system based on Python Fast API
Implemented a Kafka-design distributed system by designing publisher, consumer and broker.
Developed a full-stack, real-time chat application using NextJS, PostgreSQL, NextAuth, and Prisma. Implemented WebSocket for real-time messaging, integrated Redis Pub/Sub for scalability.
This microservice repo contains Kafka Pub-sub model and other services
The project underwent significant development over time, culminating in its presentation by my former company to the Finance Ministry of Bangladesh.
This Java-based project enables real-time communication between multiple publishers and subscribers using a network of Brokers to handle message routing with flexibility and efficiency.
Redis messaging queue
A Scalable Chat Application, built using reactjs and express, and the architecture consists of 5 services. Used Redis and kafka for event streaming and decoupling responsibility providing real time updates.
OOA design patterns Trading Engine : Java, ActiveMQ, enterprise design patterns, pub-sub, iterator, ...
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