Bacancy Boosts StockMetric's Performance With WordPress REST API Caching

MIAMI - June 20, 2025 - PRLog -- Bacancy, recognized for its advanced WordPress development solutions, extended support to StockMetric, a data-centric trading insights platform, by addressing latency and performance bottlenecks in its WordPress architecture. Businesses facing similar slowdowns are encouraged to hire WordPress developers with expertise in performance optimization to ensure fast and scalable platforms.

StockMetric encountered recurring slowdowns due to its high-frequency data fetch requests made via WordPress REST APIs. These delays impacted the platform's ability to deliver real-time insights and created an inconsistent user experience. Bacancy stepped in to optimize their system by applying REST API caching and WordPress server-side performance enhancements.

Challenges Faced by StockMetric in WordPress Performance

StockMetric faced the following core challenges:

1. Heavy REST API Requests: The backend handled extensive API calls with real-time demands, resulting in increased server response time.

1. User Experience Disruptions: Users experienced sluggish page rendering and data lags, undermining the platform's reliability during market volatility.

To solve these challenges, StockMetric chose to hire WordPress Developers (https://www.bacancytechnology.com/hire-wordpress-developers) from Bacancy.

Solutions Implemented by Bacancy for StockMetric

Bacancy introduced REST API caching using transient-based storage and Object Cache Pro integration, enabling faster response times and reducing redundant server queries. Redis-based object caching further ensured persistent performance, especially under peak usage.

As an advanced WordPress development company (https://www.bacancytechnology.com/wordpress-development), Bacancy also refined StockMetric's theme and plugin architecture, resolving performance leaks and ensuring future-ready scalability.

By combining REST API caching and architectural optimization, Bacancy reinforced StockMetric's capability to handle real-time financial data efficiently.