Fastapi/python endpoint requires redis caching

Hello, I'm a Web services developer with 6+ YoE and with prior experience on implementing endpoints caching using Redis. The caching implementation depends on the following details: - What are the varying entries that affect the endpoint response: auth token, language, ...? - The cache invalidation strategy is based on cache duration or the cache can be invalidated following an action? - The caching implementation will be on the code side (using python decorators) or on the gateway side (using openAPI specification) ? - What are the GCP tools and technologies are using or are you willing to use that can influence the implementation decision (always running autoscale-instances like Cloud Engine vs pay-as-you-go like Cloud Run and Cloud Functions, are you using API management solutions like Apigee or Cloud Endpoints) ? - What endpoint data are you willing to cache (the in-memory python object or the json rendered string) ? We can discuss any details over chat.

Hi, I would suggest the best solution would be to add a cache at the API gateway level so that response could be provided from the gateway itself without hitting the real API. If you're interested, let's connect on chat. Thanks.

Hi, We are making Amazon Machine Trunk's Replica and we are using there Fast API, we can try to resolve your issue as we have good idea of Fast API. Yeah we don't have Good Hand on GCP but we can try only. Thanks