Redis provides in-memory data structures for caching, rate limiting, and session management. Posts cover Redis integration in high-throughput payment platforms, distributed lock patterns, and the operational considerations for Redis in latency-sensitive financial workloads.
1 post tagged with redis. ← All posts
The transaction engine had to absorb 30K+ TPS across partner integrations, never lose a transaction, and survive partial failures. The architecture: Go, Kafka, Pub/Sub, Redis, K8s, with idempotency at every layer.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.