Proof over
promise.
Every engagement is measured by what changed. These are the problems we were brought in to solve and the outcomes we delivered.
High-Throughput Transit Payment Platform
Asis required a payment and transaction platform capable of processing millions of daily tap events with sub-second response times, zero data loss, and full observability across a distributed microservices architecture.
The Challenge
The existing system could not handle bulk transaction volumes at scale. Processing bottlenecks emerged under high load, and the absence of guaranteed message delivery mechanisms meant data loss was a recurring operational risk. The engineering team needed a solution that could handle 5M+ daily tap events without compromising on reliability or response times.
Engineering Solution
We architected a high-throughput event-driven system using CQRS and the Outbox Pattern for guaranteed message delivery. EF Core Bulk Extensions delivered 10x performance gains for bulk operations. Parallel fare calculation workers with dynamic batching handle concurrent load efficiently. A Redis-based caching layer reduces database pressure, and comprehensive observability via OpenTelemetry provides real-time insight across the entire stack. The result is a platform achieving 99.9% uptime while processing 5M+ daily tap events with sub-second response times.
Outcome
The platform now processes over 5 million daily tap events with sub-second response times and zero data loss. The Outbox Pattern and automatic retry mechanisms ensure guaranteed message delivery under any load condition.
High-Throughput Transit Payment Platform
Asis required a payment and transaction platform capable of processing millions of daily tap events with sub-second response times, zero data loss, and full observability across a distributed microservices architecture.
The Challenge
The existing system could not handle bulk transaction volumes at scale. Processing bottlenecks emerged under high load, and the absence of guaranteed message delivery mechanisms meant data loss was a recurring operational risk. The engineering team needed a solution that could handle 5M+ daily tap events without compromising on reliability or response times.
Engineering Solution
We architected a high-throughput event-driven system using CQRS and the Outbox Pattern for guaranteed message delivery. EF Core Bulk Extensions delivered 10x performance gains for bulk operations. Parallel fare calculation workers with dynamic batching handle concurrent load efficiently. A Redis-based caching layer reduces database pressure, and comprehensive observability via OpenTelemetry provides real-time insight across the entire stack. The result is a platform achieving 99.9% uptime while processing 5M+ daily tap events with sub-second response times.
Technology Stack
Outcome
The platform now processes over 5 million daily tap events with sub-second response times and zero data loss. The Outbox Pattern and automatic retry mechanisms ensure guaranteed message delivery under any load condition.
Ready to be the
next case study?
We take on a limited number of engagements each year. If you have a problem worth solving, we would like to hear about it.
Start a Conversation