Overview
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.
Challenge
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.
Environment
Cloud-based financial services platform; multiple application teams; high transaction volumes; regulatory compliance requirements.
Approach
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.
Solution
- Redis Enterprise architecture design as a shared organizational data layer
- Caching strategy and data structure recommendations for financial workloads
- High-availability and disaster recovery configuration
- Capacity planning for transaction volume targets
- Cross-team Redis usage standards and operational runbooks
Outcome
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.
Technologies
Redis
Kubernetes
Terraform
MySQL
Prometheus
NGINX
