DRF Result Caching: Improving API Performance

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. 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: 2024 · implement rate limiting and caching to improve 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 · 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. Using cache with apiview and viewsets. Implement caching for frequently accessed data. 2024 · caching is one of the most effective ways to optimize an api by reducing the time spent processing requests. 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. By reducing computational load, caching. 2016 · this code works fine in normal django query: 2024 · implement rate limiting and caching to improve performance. 2023 · by caching commonly used data, you can reduce the number of database queries needed to generate a response and improve load times. 2024 · improved api response times: Django provides a method_decorator to use decorators with class. By storing frequently accessed data, you reduce the number of database queries and enhance.