Improvement of API Request Throughput of Article Platform with Cache Memory on Headless CMS Platform
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Abstract
This study examines the impact of caching techniques on the throughput and response time of RESTful APIs in a headless CMS architecture developed with PHP Laravel that connected with external CMS. End users frequently experience issues such as slow page loading, delayed content updates, and occasional system errors. These factors contribute to a diminished user experience and undermine the overall reliability of the system. The primary objectives are to enhance the API response time between the Presentation Layer and the CMS and to evaluate the most effective caching technique for optimizing Laravel’s API performance. Various caching drivers, including file-based caching, MySQL caching, and Redis caching, were tested to assess their effects on API throughput. All three caches have their own advantages and disadvantages, with File and Redis being built-in cache mechanisms, while MySQL is a database adapted for caching purposes. WRK was used to simulate realistic API usage by generating concurrent user requests to the API. Each test involved sending requests to the application with a single concurrent user per thread for 60 seconds, using varying payload sizes of 20KB, 200KB, and 2000KB. The results indicate that caching significantly improves API performance, with file-based caching achieving a throughput of 126.82 requests per second compared to 5.55 requests per second without caching at payload 20 KB. Among the three cache drivers tested, file-based caching provided the greatest performance improvement, with 20 times increase compared to no caching. However, file-based caching while easy to config, has limitations in terms of scalability and deployment flexibility, making it more suitable for small applications. Redis was found to be a superior alternative for high-performance applications due to its horizontal scalability. In contrast, MySQL caching was not recommended due to its relatively low performance, except in scenarios of low cache loads where other caching options were impractical.
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