Message Queue & Latency Lab

Watch how message brokers (RabbitMQ / LavinMQ) absorb sudden traffic surges versus synchronous REST HTTP that crashes under worker backpressure.

[REST MODE] Clients hold open HTTP connections waiting for backend workers. When worker latency spikes, connections exhaust the web server pool causing 504 Gateway Timeouts.
Throughput
0 req/s
Queue Backlog
0 pkts
p99 Latency
18 ms
Dropped / 504 Errors
0.0%
Topology: Clients → Ingress → Queue → Worker Lanes • Circuit Active
[00:00.00] System initialized. Waiting for incoming traffic...
Incoming Traffic Rate: 40 req/s
Worker Pool Size: 3 workers
Worker Processing Delay: 50 ms

Why AMQP & Event-Driven Architecture Powers Trading Systems

At PT Traders Family Indonesia, market ticks and trading orders cannot wait on synchronous HTTP handshakes.

1. AMQP RPC (Remote Procedure Call)

Enables ultra-fast request/response over persistent TCP message queues using correlation IDs, eliminating HTTP connection setup overhead.

2. Zero Packet Loss with Backpressure

When market volatility creates a 10x spike, LavinMQ / RabbitMQ buffers millions of messages in memory. Worker nodes process steadily at maximum capacity without crashing upstream clients.

3. Decoupled Service Scaling

Worker pools scale independently with Docker Swarm. Adding more consumer containers instantly increases throughput without restarting the API gateway.

4. Observability & Distributed Tracing

Coupled with Prometheus and Grafana Tempo, each message carries a trace ID across queues and consumers, pinpointing microsecond bottlenecks immediately.

EA

Erlando Aubrey

Senior Backend & Distributed Systems Engineer

Experienced in building event-driven systems using RabbitMQ, LavinMQ, and Node.js/TypeScript. Open to high-impact Individual Contributor (IC) roles and technical consulting.