DRF Result Caching: Improving API Performance

2023 · by caching commonly used data, you can reduce the number of database queries needed to generate a response and improve load times. 2023 · hello everyone, just looked at sentry’s profiling of my api and noticed that frequently called endpoint that does 4 queries has total duration anywhere from 300ms to. 2024 · caching is one of the most effective ways to optimize an api by reducing the time spent processing requests. Drf supports several caching strategies out of the box:. By implementing these caching strategies in your drf application, you can achieve substantial improvements in api response times while simultaneously reducing the load on your servers.

Result = cache. get(cache_key, none) if not result: Caching in rest framework works well with the cache utilities provided in django. Using cache with apiview and viewsets. Django provides a method_decorator to use decorators with class. 2024 · improved api response times: Cached responses are served much faster, enhancing api performance. By reducing computational load, caching. 2024 · implement rate limiting and caching to improve performance. Secure your api with token authentication, throttling,. 2023 · scaling a django application with django rest framework (drf) for high traffic is a crucial aspect of ensuring that your web application can handle increased user. Implement caching for frequently accessed data. By storing frequently accessed data, you reduce the number of database queries and enhance.