Case Study: How Procesio cut execution latency 60% with Redis

Key results

The challenge

Procesio's shift from a monolithic to a microservices architecture created performance bottlenecks, and its MySQL database could not deliver the low-latency access needed for real-time service communication. An open-source Redis cache used initially experienced data-loss incidents at scale, unacceptable for mission-critical work such as government e-invoicing.

The solution

Procesio adopted Redis Cloud as a high-throughput caching layer across its multi-cloud architecture spanning AWS, Azure, and on-premises. It caches process templates and execution states accessed by microservices in milliseconds, acting as the central backbone of the platform.

The results, in context

Procesio reports a 60% reduction in execution latency and an over-80% reduction in calls to its primary database with Redis Cloud, while delivering data-access latency of under 50 milliseconds. The platform supported a doubling of usage within three months without compromise.

Products used