Transformations executed for mid-market and enterprise.
Outcome: 40% reduction in compute spend.
A growing payment processor was running deeply coupled applications on self-managed EC2 instances. Deployment velocity was zero, taking 3 weeks to push a minor update due to fear of outages.
We containerized the sprawling monolith and implemented an AWS EKS Kubernetes cluster. A customized Helm architecture allowed for shadow-staging deployments, meaning the team went from 1 deployment a month to 5 deployments a day in just 90 days.
A major healthcare logistics firm was experiencing daily database locks on their monolithic SQL server. The application would regularly crash during high-traffic daytime hours across thousands of clinics.
We performed a strategic architecture decoupling, breaking out read-heavy operations into a replicated MongoDB NoSQL layer and optimizing the core SQL instance for write-only truth data. We implemented Redis caching at the edge, reducing database load by over 80%. Crashes dropped to zero.
Outcome: 80% reduction in database load.
Outcome: 100% SLA during Black Friday.
A retail giant suffered massive server overloads every holiday season. They attempted to solve it by aggressively over-provisioning servers, spending hundreds of thousands in wasted idle compute time throughout the rest of the year.
We refactored their checkout microservices entirely into AWS Lambda and API Gateway. This serverless architecture scaled instantly to handle millions of requests during traffic spikes, and scaled down to zero when idle, saving massive capital and providing 100% uptime.
An international financial institution faced severe regulatory penalties due to their single-datacenter dependency. If their primary region went down, recovery time was estimated at over 4 hours, violating strict SLAs.
We architected an Active-Active multi-region topology on Google Cloud Platform (GCP). Using Cloud Spanner for globally consistent data and Anycast DNS for traffic routing, we achieved an RTO (Recovery Time Objective) of under 2 minutes and sub-10ms cross-region latency.
Outcome: RTO reduced from 4 hrs to 2 mins.
Outcome: P99 latency dropped by 65%.
A video streaming provider was dealing with huge buffering issues for users outside North America because all authentication and video manifest generation occurred in one central API cluster in Virginia.
We moved their logic to the Edge using Cloudflare Workers. Authentication, rate limiting, and customized manifest generation now run globally within 50ms of every user, drastically reducing origin server load and eliminating geographical buffering entirely.
A major telecommunications provider integrated 15 disparate third-party systems via fragile point-to-point API connections. When one system failed, cascading failures brought down entire service grids.
We replaced the web of point-to-point logic with an event-driven Kafka streaming backbone. Microservices now run independently, publishing to and consuming from topics. This loosely-coupled nervous system insulated the core platform from any individual third-party API outage.
Outcome: Eliminated cascading API failures.