A financial services provider needed to modernize their data layer to support high-throughput transaction processing at scale. Redis was selected as the foundation for a reusable caching, session management, and real-time data platform serving multiple application teams.
Siloed caching implementations across application teams created inconsistency, duplicated infrastructure, and performance bottlenecks under transaction load. The organization needed a unified Redis strategy that could serve as a shared data layer while maintaining the performance required for financial services workloads.
Cloud-based financial services platform; multiple application teams; high transaction volumes; regulatory compliance requirements.
AceMQ designed a Redis Enterprise architecture as a shared data layer, defining caching strategies, data structures, and operational standards for use across application teams. The engagement included capacity planning, high-availability configuration, and guidance on Redis modules relevant to financial data workloads.
The financial services provider deployed a unified Redis data layer serving multiple application teams, reducing infrastructure duplication, improving cache hit rates, and providing the performance headroom needed for continued transaction growth.
AceMQ diagnosed Redis connection timeout issues causing service disruptions in a legacy fintech platform being modernized, identifying client-side resource exhaustion as the root cause and delivering a remediation plan for high-concurrency caching.
AceMQ's Redis Health and Architecture Assessment identifies cluster vulnerabilities, performance bottlenecks, and optimization opportunities before they become production incidents — delivering a prioritized remediation roadmap.
Whether you need architecture advisory, 24/7 support, or full managed services, AceMQ has the expertise to help.