Optimizing API calls in serverless architecture

I’ve been working on a serverless app and noticed that redundant API calls were slowing things down; i’m experimenting with cache layers, but I’m curious how others optimize this in their cloud applications. Any tips or tools you recommend for maintaining efficiency while scaling?

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This drives me nuts too! Caching helps, but I’ve found batching API calls to be a game changer, especially dealing with redundant requests. It can cut down on response times significantly.

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One approach that worked well for me was implementing a rate limiter with a smart backoff strategy. This helped to reduce redundant API calls and manage spikes in traffic effectively. Have you considered using something like AWS Lambda’s built-in throttling features to enhance your caching strategy?

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Optimizing is key, and I’ve found leveraging a managed cache like AWS ElastiCache can make a real difference. It’s quick to set up and can drastically reduce the load on your APIs. Have you considered using any specific caching strategies alongside those layers?

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