Architecting Redis as a shared enterprise data layer for millions of daily financial transactions
RedisThe financial services provider deployed a unified Redis data layer serving multiple application teams, reducing infrastructure duplication, improving cache hit rates, and providing the performance he…
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
- 1Redis Enterprise architecture design as a shared organizational data layer
- 2Caching strategy and data structure recommendations for financial workloads
- 3High-availability and disaster recovery configuration
- 4Capacity planning for transaction volume targets
- 5Cross-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.
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