Leveling Up My MERN Stack Observability with SigNoz
As a developer, there is nothing quite as frustrating as building a solid backend, pushing it, and then staring blankly at terminal logs when a route mysteriously slows down.
With an upcoming project sprint on the horizon, I decided to take on the SigNoz pre-event challenge to warm up. I wanted to move away from relying on console.log() and implement a proper observability backend. I decided to self-host SigNoz and wire it up to RoaVista, a full-stack room booking platform my team and I are currently developing.
Here is how it went, and why one specific feature completely changed how I look at my API routes.
The Setup: Self-Hosting and Wiring it Up
Getting SigNoz running locally was surprisingly frictionless. A quick docker-compose up -d and I had the entire observability stack running on my machine.
The next step was wiring it into RoaVista’s backend. Since we are using a Node.js/Express environment, I used OpenTelemetry to instrument the application. It essentially wraps the Express app and automatically pushes data to the SigNoz OTLP endpoint.
> JavaScript
> // tracing.js
> const { NodeTracerProvider } = require('@opentelemetry/sdk-trace-node');
> const { SimpleSpanProcessor } = require('@opentelemetry/sdk-trace-base');
> const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
> const provider = new NodeTracerProvider();
> const exporter = new OTLPTraceExporter({
> url: 'http://localhost:4318/v1/traces' // SigNoz endpoint
> });
> provider.addSpanProcessor(new SimpleSpanProcessor(exporter));
> provider.register();
> console.log('Tracing initialized');
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Once I fired up the server and started hitting our booking routes and authentication endpoints, data immediately started flowing into the SigNoz dashboard.
My Favorite Feature: Distributed Tracing
While the metrics and dashboards are beautiful, the absolute standout feature for me is Distributed Tracing.
In a MERN stack application, a single user action—like booking a hotel room—triggers a cascade of events. The frontend hits an Express route, auth middleware verifies the JWT, the controller checks room availability, and finally, MongoDB executes the read/write operations.
Before SigNoz, if the booking route took 800ms, I had no idea where the bottleneck was. Was it the database query? Was it the auth middleware?
With SigNoz’s tracing, I get a clear, visual flame graph of every single request.
Why Tracing is a Game Changer:
1. Database Query Visibility: I can see exactly how long my MongoDB aggregations take. If a query to fetch available rooms is scanning too many documents, the trace highlights the latency immediately.
2. Visualizing Middleware: It breaks down the time spent in each Express middleware function. I can easily spot if our authentication validation is slowing down the pipeline.
3. Error Pinpointing: If a request fails, the trace captures the exact point of failure along with the error logs, meaning no more hunting through terminal outputs to figure out what broke.
Final Thoughts
Self-hosting SigNoz and hooking it up to a real project like RoaVista was the perfect warm-up before diving into the next sprint. It has completely shifted my mindset from reactive debugging to proactive monitoring.
If you are building a Node.js API and are tired of guessing where your bottlenecks are, I highly recommend giving SigNoz a spin.
This post was written as part of the SigNoz Pre-Event Blog Prize.
Tags: #webdev #node #observability #javascript
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