Software Development · Scaling

From 100 Users
to 100,000

Your product works. Now it needs to scale. We diagnose bottlenecks, redesign the parts that don't scale, and migrate you to infrastructure that grows with your business — without a full rewrite.

DockerAWS ECSRedis CachingLoad BalancingCDNDatabase Optimisation
What We Fix

The Scaling Problems
We Solve

[SQL_QUERY_OPTIMIZE]
Slow Database Queries

Missing indexes, N+1 query problems, unoptimised joins, full table scans. We identify every slow query with EXPLAIN ANALYZE and fix them systematically. 10× speed improvement is common.

[DECOUPLED_SERVICES]
Monolith → Microservices

Split a tightly coupled monolith into independently deployable services — gradually, without rewriting from scratch. Each service scales independently and failures stay isolated.

[REDIS_CACHE_LAYER]
Adding Redis Caching

Cache frequently-read data, database query results, session tokens, and rate limit counters. The right caching strategy can cut database load by 80% and response times by 10×.

[DOCKER_CONTAINER]
Containerisation

Move from bare-metal or shared hosting to Docker containers. Environment consistency, zero-downtime deployments, horizontal scaling, and infrastructure-as-code.

[LOAD_BALANCER_CDN]
Load Balancing & CDN

Nginx load balancing across multiple app instances. CloudFront or Cloudflare CDN for static assets. The combination that handles 10× traffic spikes without hardware upgrades.

[SENTRY_OBSERVABILITY]
Observability & Monitoring

If you can't see it, you can't fix it. Structured logging, error tracking (Sentry), uptime monitoring, and performance dashboards so problems are caught before users report them.

FAQ

Common Questions

Almost never. 80% of scaling problems come from slow database queries, missing caching, and lack of connection pooling. These are fixable without touching your application architecture. A full rewrite is a last resort, not a first move.
Database migrations using Alembic with backwards-compatible changes. Blue-green deployments for infrastructure changes. Feature flags to roll out changes incrementally. Most migrations are done with zero planned downtime.
Share your codebase and I'll spend 2–3 hours reviewing the database schema, query patterns, API design, and infrastructure setup. You get a written report with prioritised recommendations and estimated effort for each fix. This is the most efficient ₹25,000 you'll spend on your product.

Is your system
about to hit a wall?

Let's do a free 30-minute architecture review. Share what you're running — I'll tell you where the bottlenecks are before they become outages.

Book Architecture Review → Pricing
⚡ System Architect WhatsApp Direct Book Audit