Summary
Our client is a prominent online jewelry store dedicated to providing a seamless shopping experience.
Known for its curated collection and commitment to customer satisfaction, the store prioritizes speed and ease of use on its platform.
However, catalog operation delays were impacting user experience.
Cooperation Period
2 months
Technologies
Solr, Kafka
Services
Industry
Business Challenge
The jewelry store faced challenges with slow catalog operations, which led to delayed product display and a less-than-optimal user experience. The heavy load on the database caused slow data retrieval times, affecting the overall site performance and making it difficult for customers to enjoy a smooth and quick browsing experience.
Solutions
To address the challenges, we implemented a two-part optimization strategy to improve catalog speed and data management efficiency:
1
Catalog Operation Optimization with Solr
Optimized Magento’s catalog functionality using Solr, enabling faster search and filtering capabilities to enhance the customer experience.
2
Streamlined Data Processing with Kafka
Introduced Kafka to improve the efficiency of updating the Solr index, reducing data retrieval time and database load.
3
Queue System
Established a queue system for the Observer in Magento and other services, enabling a smoother process for real-time catalog updates.
Project Results
The project was completed in just two months, resulting in a dramatic improvement in the online jewelry store’s performance and user experience:
Enhanced Browsing Speed
The optimized catalog operations allowed users to navigate the collection faster, improving satisfaction.
Reduced Database Load
The integration of Kafka significantly decreased the strain on the database, contributing to faster data retrieval and smoother site operations.
Better Shopping Experience
Customers can now enjoy a seamless and efficient shopping experience, with reduced lag and quicker access to the jewelry store’s exquisite collection.
