Building High-Concurrency REST & GraphQL APIs for Enterprise Applications

Software & POS Development • 7 min read • Published 2025-02-16

Key Summary: Rate-limiting, Redis caching, pagination cursors, and JSON response optimization to handle thousands of requests per second smoothly.

Building Resilient REST & GraphQL APIs for Enterprise Workflows

As enterprise software expands across web apps, mobile inventory scanners, and third-party courier APIs, a brittle backend architecture creates endless maintenance bottlenecks. evonix builds high-concurrency micro-services using TypeScript, Node.js, and Golang capable of handling thousands of simultaneous requests.

Enterprise Architectural Highlights

  • GraphQL Schema Stitching: Allows frontend dashboards to query exactly the data fields required, reducing mobile cellular data consumption by 65%.
  • Redis In-Memory Caching: Frequently queried product catalogs and price lists serve with sub-5ms response times.
  • Automated OpenAPI / Swagger Documentation: Provides complete API endpoints, parameter schemas, and sandbox mock environments for rapid external developer integration.

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