Case Studies

Results that speak
for themselves.

Real engagements. Real problems. Real outcomes. Details are anonymized to protect client confidentiality.

API Architecture SaaS Platform

Reducing API response time from 1.4s to 18ms for a B2B SaaS platform

The Situation

A B2B workflow automation platform serving 200+ enterprise clients was seeing API timeouts during business hours. Their monolithic API was handling authentication, business logic, and database queries in a single synchronous chain every request waited on everything else.

What We Did

We introduced a layered Clean Architecture refactor, separated read/write paths using CQRS, and implemented response caching at the API gateway layer. Heavy computation was offloaded to a background queue.

The Outcome

Average response time dropped from 1.4s to 18ms. Server costs decreased 40% due to fewer resources needed per request. Zero client-reported timeouts in the 6 months following the engagement.

78x

Faster response time

-40%

Infrastructure cost

0

Timeouts since go-live

Database Optimization E-Commerce

Eliminating checkout failures during peak traffic for an e-commerce brand

The Situation

A fast-growing e-commerce platform was experiencing checkout failures and deadlocks during promotional events when concurrent orders spiked above 200/minute. Their PostgreSQL instance was hitting CPU ceiling within seconds of each flash sale.

What We Did

We audited their transaction isolation levels, identified missing composite indexes on their orders table, and implemented advisory locks to serialize inventory writes without blocking reads. A Redis inventory layer handled the concurrency at the application level.

The Outcome

Deadlocks dropped to zero. The system successfully handled 1,200 concurrent checkouts during a Black Friday event 6x their previous peak with no degradation in response time.

0

Deadlocks after fix

6x

Throughput increase

-85%

DB CPU reduction

Cloud Infrastructure Digital Agency

Moving a digital agency from shared hosting to zero-downtime AWS in 3 weeks

The Situation

A digital agency managing 40+ client applications was deploying via FTP to a single shared server. Any deployment risked downtime for all clients simultaneously. There was no staging, no rollback, and no monitoring.

What We Did

We designed a multi-tenant ECS architecture on AWS with isolated task definitions per client group, an ALB-based routing layer, and a GitHub Actions CI/CD pipeline with blue/green deployments. CloudWatch alarms with PagerDuty escalation were configured for each service.

The Outcome

Deployment time went from 45-minute manual FTP processes to 4-minute automated pipelines. The agency onboarded 8 new enterprise clients in the following quarter, citing infrastructure confidence as a selling point.

4min

Deploy time (was 45min)

99.9%

Uptime SLA hit

3wk

Full migration time

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