How APIs Use Bulk Operations to Reduce Latency at Scale cover art

How APIs Use Bulk Operations to Reduce Latency at Scale

How APIs Use Bulk Operations to Reduce Latency at Scale

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Episode 78 dives into a practical API pattern that backend teams at Uber and GitHub use to cut round trips by up to 90 percent: bulk endpoints. Lucas and Luna walk through the difference between repeated single calls and a single batch request, using concrete examples like Uber's batch ride-status check and GitHub's GraphQL bulk mutations. They discuss trade-offs like error handling, payload size limits, and idempotency guarantees, and show how a well-designed batch endpoint can turn a hundred sequential HTTP requests into a single response. If you've ever managed API clients calling the same endpoint in a loop, this episode gives you a clear pattern to replace the loop with a list. Also: a brief note on how listener support through Buy Me a Coffee keeps this ad-free show running. #BulkAPI #BatchRequests #GraphQL #Uber #GitHub #Optimization #Latency #HTTP #Idempotency #API #WebAPI #JSON #REST #Backend #Engineering #Performance #Technology #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo
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