Case study / 
GlobalLogic
A faster path between people and data.
Improving application performance with WebSocket connections, distributed caching, and carefully built Spring Boot APIs.
Software Engineer
Application communication, distributed caching, and REST APIs.
WebSocket communication & caching
The application needed better performance. The implementation combined real-time communication through WebSockets with Hazelcast distributed caching, alongside REST APIs built with Spring Boot.
Improved application performance using WebSocket connections and Hazelcast distributed caching.
Designed and implemented REST APIs using Spring Boot.
Received an Integrated Team Award and a Spot Award for contributions to the project.
The delivered scope and outcome are based on my professional experience. Internal benchmarks, production topology, rollout records, and alternative evaluations are not published here. The engineering considerations below describe how I reason about this class of system; they do not assert undisclosed implementation details.
Engineering considerations for this class of system. The delivered work is described in the contribution and implementation sections.
WebSockets provide a persistent, bidirectional transport. Application correctness still depends on slow-consumer handling, disconnects, reconnection, and deciding whether missed messages must be recovered. Evaluate end-to-end tail latency and connection pressure alongside perceived responsiveness; the transport choice by itself is not a benchmark.
IETF: the WebSocket protocol (opens in a new tab)Name the source of truth, invalidation strategy, acceptable staleness, and behavior when the cache is unavailable. Hazelcast documents the consistency trade-offs of near caching; that is useful background, not a claim that this project used Near Cache. Cache hit rate is meaningful only together with the freshness and failure behavior the application requires.
Hazelcast: cache invalidation and consistency (opens in a new tab)Performance work starts with understanding the path from a request to useful data. Communication patterns and caching are tools for shortening that path, with consistency and operational complexity as part of the decision.
Application-performance improvements using WebSocket connections, Hazelcast caching, and Spring Boot APIs, with recognition through Integrated Team and Spot Awards.
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