Backend Development Built for Scale, Security & Speed
Your product is only as reliable as the systems behind it. We design and build APIs, databases, and infrastructure that hold up under real load, with the monitoring, caching, and error handling production systems demand.
Trusted by teams at
99.9%
Uptime across systems and APIs we run
~200ms
Average API response times we engineer for
50%
Server-cost reduction through optimized architecture
10x
Response-time improvement in our latest rescue
Backends Fail Quietly, Until They Fail Loudly
Slow queries, missing indexes, and unmonitored failures don't show up in demos. They show up on launch day, under real traffic, in front of real customers.
Works in the Demo, Dies in Production
N+1 queries, missing indexes, and unbounded memory work fine with ten test users, then collapse the day real traffic arrives.
Scaling by Paying More
Throwing bigger servers at slow code is a tax, not a fix. Most 'we need to scale' problems are architecture problems wearing a hosting bill.
Silent Failures
No monitoring, no alerting, no logs worth reading. You find out the backend is broken when a customer tells you, the most expensive way to learn.
Server-Side Engineering That Holds Under Load
From API design to cloud deployment, built with the boring, essential discipline that keeps systems up.
API Design & Development
REST and GraphQL APIs with versioning, validation, rate limiting, and documentation, designed for the clients that consume them.
Database Architecture & Optimization
Schema design, indexing driven by query-planner evidence, and migrations that don't take production down.
Caching & Queues
Redis caching on measured hot paths, job queues, and dead-letter handling: the plumbing that keeps response times flat as load grows.
Security & Compliance
Authentication, authorization, encryption, and audit trails engineered to compliance-ready standards from the first commit.
Cloud Deployment & Scaling
Infrastructure on AWS and equivalents with autoscaling, backups, and cost architecture that doesn't bleed money at scale.
Monitoring & Observability
Every system ships with metrics, structured logging, and failure alerts. You know before your customers do.
Measured Before. Measured After. 10x.
Here's what backend engineering looks like when it's driven by profiling evidence, not guesswork.
From Crashing at 50 Users to Stable at 1,000+
The Challenge
A consumer app startup had an AI-generated backend that worked with ten test users and collapsed the day a marketing push brought real traffic.
What Solution We Built
- Performance profiling under simulated load: CPU, memory, queries
- N+1 query elimination: looped queries collapsed into batches
- Database indexing driven by query-planner evidence
- Redis caching on measured hot read paths
- Memory leak diagnosis and elimination
- k6 load-test suite covering launch-spike scenarios
The same discipline powers our greenfield work: an 11-source real-time integration hub (CAMCESS) runs on a backend we built with error handling, retry logic, and full audit trails, reconciling data across systems with zero manual work.
From Audit to Production in Four Steps
Whether it's a greenfield build or a rescue, the discipline is the same: measure first, fix what the evidence points to, verify under load.
Audit & Load Profile
We measure before we touch anything: profiling, query analysis, and load simulation to find the real bottlenecks.
Every finding backed by profiler output or query plans, not intuition.
Fixed Scope Proposal
Precise proposal within 48 hours: architecture, deliverables, timeline, price. Fixed.
Scope includes monitoring, alerting, and load-test verification. Not just the happy path.
Sprint Build & Weekly Demos
Weekly sprints with measurable checkpoints: response times, throughput, error rates.
Staging load-tested with production-shaped data before anything ships.
Verified Launch & Handover
Deployed with monitoring dashboards, runbooks, and load-test evidence. Available for 30 days post-launch.
Handover includes the k6 suites so your team can re-verify every future release.
Performance rescue → verified in 2–4 weeks. Greenfield backend → 6–10 weeks, phased. You'll know which before we start.
Why Teams Trust BestlaTech With Their Backend
Evidence Over Intuition
We profile before we optimize and load-test before we ship. Every improvement is measured against a before/after baseline.
Production-Ready, Not Prototypes
Retry logic, dead-letter queues, monitoring, and backups ship with every system. What we build survives launch spikes.
You Talk to the Founder
Shubham leads every engagement. No account managers, no PMs in the middle. Weekly demos and direct Slack access throughout.
Is Your Backend Ready for Your Growth Plans?
30-minute call. By the end, you'll know where your architecture stands and what a fixed-scope engagement involves.
Book Your Free Discovery Call (opens in new tab)Fixed scope. Fixed price. Zero surprises.
Frequently asked questions
Questions CTOs and founders ask us most.