Projects

A financial services enterprise ran containerized workloads across multiple AWS accounts and needed to monitor application health, track access and changes, and retain logs for 7 years to meet regulatory requirements. Logs were scattered across accounts with no centralized visibility.

A media company ran video processing on on-premises servers where content creators upload raw videos that go through transcoding, thumbnail generation, quality analysis, and metadata extraction before CDN distribution. Upload volumes varied dramatically with 80% during business hours.

A regional manufacturer with 5 VMs, 2 SQL databases, an 8TB file server, and a physical ERP system relied on nightly NAS backups and weekly tape replication. They had never performed a full DR test and needed to modernize with RTO of 8 hours and RPO of 4 hours.

A venture-backed fintech startup with 50 engineers needed to orchestrate 50+ interconnected microservices for real-time payments, fraud detection, and compliance reporting. They required advanced scheduling, service mesh capabilities, and fine-grained networking control.

A large financial services company generated logs from hundreds of microservices, Kubernetes containers, network devices, and legacy applications. The observability team needed a unified platform for ingestion, storage, search, and visualization in near real-time.

A legal services startup needed to modernize their manual document intake process where clients uploaded documents manually, staff manually categorized and reviewed everything, and the approval process was entirely email-driven, creating bottlenecks and delays.

FinCore was running microservices on Fargate in production with inadequate monitoring. During a recent incident, it took 4 hours to trace a failed transaction across just 5 microservices. The compliance team lacked audit trails and developers couldn't debug production performance issues.

A growing enterprise with 5 AWS accounts and 20+ microservices had inconsistent log storage, local log aggregation by some teams, no centralized security visibility, and slow incident investigations. They needed to centralize all logging with near real-time search capabilities.

A fintech company processing payments for 500 merchants (growing to 10,000) ran a legacy monolithic MySQL database. They experienced performance degradation during peak times, and database crashes occurred during end-of-month reconciliation. They needed to handle 1M transactions daily with 500 TPS peaks.