Reducing API Latency with Optimized Alert Aggregation

Overview

ImagineX partnered with a Fraud Operations platform team to address performance and scalability challenges in a critical alert aggregation API powering the dashboard. Through redesigning the API and optimizing query patterns, ImagineX delivered a high-performance solution that significantly improved response times and user experience.

Problem

• Inefficient aggregation API triggered hundreds of DB calls per request

• High latency (2–4+ seconds) is impacting FraudOps dashboard responsiveness

• Overloaded API design mixing aggregation, search, and response shaping

• Lack of clear API contracts led to scalability and maintenance challenges

Solution

ImagineX redesigned the aggregation layer by introducing a purpose-built alert summary API with clear separation of concerns. Leveraged optimized native SQL queries and indexing to consolidate multiple database calls into a single query. Refactored API design to align with REST principles, improving maintainability, scalability, and performance.

Outcome

• Reduced database calls by over 95%, eliminating redundant queries

• Improved API latency from ~2.5–4 seconds to under 400ms (as low as ~60ms)

• Enhanced FraudOps dashboard performance and user experience

• Established scalable API design patterns for future development

• Increased system reliability and reduced backend load under high traffic

Services

• Enterprise Cloud-Native Engineering

• Quality Engineering & Automation

Technologies Used

• Java

• Spring Boot

• PostgreSQL

• Native SQL

• REST APIs