Anjeer Labs built a real-time analytics dashboard for a ₹20L/month business using Next.js, Node.js, Redis, PostgreSQL, and WebSockets. The system delivers sub-second, duplicate-free live metrics for revenue, users, and conversions. With a monolithic architecture, Redis pipelines, and scalable DigitalOcean infrastructure, founders get accurate, actionable data instantly—enabling faster decisions at scale.
How Anjeer Labs Built a Real-Time Analytics Dashboard for a Business Processing 20L/Month
What it takes to build a dashboard founders can actually trust — and act on.
The Problem With Most Analytics Dashboards
Most analytics dashboards lie — not with wrong data, but with old data.
By the time a founder opens their dashboard and sees a spike in drop-offs or a sudden revenue dip, the moment to respond has already passed. For businesses operating at scale, that delay isn't just inconvenient. It's costly.
When a client came to us processing over 20 lakhs in monthly transactions, they had exactly this problem. They were flying blind in near-real-time watching metrics that were always minutes or hours behind, unable to trust whether the numbers were even accurate.
They needed a live analytics dashboard:
- Real active user counts
- Real revenue figures
- Real conversion rates
- Updating as events happened, not after the fact
This is how we built it.
Starting With Strategy, Not Code
Before any architecture decisions, we defined what success looked like:
- Live metrics with sub-one-second latency
- Reliable data with no duplicate counting
- A system that could scale without a full rebuild
We also established:
- Weekly client updates
- Working prototypes from day one
This isn't just good communication — it's good engineering. Catching a flawed data model or a broken tracking assumption in a prototype costs a fraction of fixing it after full implementation.
Every major technical decision was tested against a real business requirement. That discipline shaped everything that followed.
The Technology Stack — And Why Each Choice Was Made
Frontend: Next.js (React + TypeScript)
We chose Next.js for the dashboard interface because it gives us:
- Fast initial loads via server-side rendering
- A rich, dynamic client experience after hydration
For a dashboard that business teams open first thing every morning, first-load performance matters.
The UI displays live charts — active users, revenue, conversions using responsive components designed to stay smooth even as data updates continuously.
Backend: Node.js (Monolithic Architecture)
We deliberately chose a monolithic Node.js backend over microservices.
For this project, that meant:
- Faster development
- Simpler testing
- Easier deployment
- No cross-service latency
We centralized:
- Caching logic
- API layer
- Real-time event handling
The structure still allows future extraction into services if needed, but the monolith gave us speed and stability without unnecessary complexity.
Data Layer: PostgreSQL + Redis
We used two data stores, each for a specific purpose.
PostgreSQL → Persistent & Historical Data
Used for:
- Historical reports
- Aggregated summaries
- Complex time-range queries
Configured with:
- Managed PostgreSQL
- PgBouncer connection pooling
- Support for thousands of concurrent requests
Redis → Real-Time Data
Used for:
- Pageviews
- Active sessions
- Click events
- Revenue counters
All stored as in-memory hashes, updated per event, retrievable in milliseconds.
We use Redis pipelines to batch dashboard queries into a single round trip, enabling always-current metrics with minimal overhead.
Real-Time Updates: WebSockets
Instead of polling every few seconds, we maintain a persistent WebSocket connection.
When new data arrives:
- A purchase happens
- A session starts
- A conversion fires
The server pushes updates instantly to all connected dashboards.
Charts move. Counters tick. No refresh. No delay.
Infrastructure: DigitalOcean
We deployed the system on DigitalOcean using:
- Droplets for compute
- Managed PostgreSQL
- Load balancers with WebSocket sticky sessions
Services are containerized with Docker, enabling:
- Autoscaling during traffic spikes
- Reliable deployments
- Cost-effective operation at scale
For this volume, we needed infrastructure that is stable, quiet, and predictable.
How Real-Time Data Actually Flows
From user action to dashboard update:
-
Tracking Library
A lightweight client script captures events (page view, click, purchase).
Each user gets a persistent ID + session ID to prevent double-counting.
Events are batched and sent to the API. -
Event Ingestion
The backend receives the event and increments the correct Redis counter.
Example:- Purchase → revenue hash for today
- Page view → session counter
-
Aggregation
On dashboard request, Redis pipelines fetch all relevant counters in one batch.
The backend computes:- Totals
- Trends
- Period-over-period comparisons
-
Live Delivery
New events trigger WebSocket pushes to connected clients.
The UI updates instantly.
Result: fast, accurate, duplicate-proof metrics stakeholders can trust.
Quality, Testing, and What Happens After Launch
We test every feature before release:
- Unit tests (Jest) → API logic & data computation
- End-to-end tests (Cypress) → Real dashboard user flows
- Continuous performance monitoring →
- Slow queries
- API latency
- Runtime errors
Post-launch, we provide:
- Performance tuning
- Security updates
- Feature expansion
At Anjeer Labs, we build for the long term and stay accountable to outcomes — not just deliverables.
10+ projects delivered. 98% client satisfaction.
What This Means for Founders
The best analytics tools aren't just fast — they're trustworthy.
When a number changes on your dashboard, you should be able to act immediately, knowing it reflects what is happening right now in your business.
We built a system where:
- Latency is measured in milliseconds
- Accuracy is built into the architecture
- Infrastructure scales quietly as the business grows
If your business is operating at scale and your data can't keep up, you're not just behind on metrics — you're behind on decisions.
Anjeer Labs builds high-performance web applications and analytics systems for founders who need software that works at scale.
Get in touch →
Tags
Analytics Dashboard Real-Time Data Next.js Node.js Redis WebSockets Startup Tech SaaS Development Anjeer Labs