Reliable, Tested, Performant IT Solutions

A consumer goods firm was experiencing severe latency and frequent timeouts during nationwide promotional events. Their backend code used inefficient synchronous processing and lacked proper caching layers. We profiled their server-side scripts, refactored key bottlenecks, and introduced a distributed caching mechanism using Redis. This reduced page load latency by more than 60% and allowed the system to handle double the concurrent user volume without degradation.

A SaaS startup faced recurring crashes during overnight backups. Analysis revealed that poorly structured database joins on large tables caused out-of-memory errors. We redesigned their database schema, normalized the most resource-heavy tables, and optimized query execution plans. After deployment, backup jobs completed consistently and overall database performance improved by approximately 40%.

A client relied on a third-party paid API critical to their operations, but rising usage costs were unsustainable. Billing disputes and delayed payments led the API vendor to throttle service periodically, disrupting business continuity. We audited their integration and found repeated API triggers even within the same user session, with many identical requests across users. By restructuring the triggering logic and introducing caching for stable input–output pairs, we reduced monthly API costs by a factor of seven and stabilized their vendor relationship.

A long-standing client with a legacy frontend wanted to refresh their user experience without losing existing functionality or alienating users accustomed to the old design. We developed a contemporary, responsive frontend using modern frameworks while retaining the legacy interface in parallel for a transition period. This hybrid deployment allowed real users to gradually migrate to the new UI, ensuring no data loss or feature regression during the rollout.