
Parallel API Orchestration—Simultaneous Call for Faster Response
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4 days
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What you get with this Offer
I will build a parallel API orchestration system — executing independent API calls simultaneously, aggregating results, handling partial failures without blocking successful results, and delivering a unified response that combines data from all parallel sources. Parallel API orchestration reduces total response latency from the sum of all API call times to approximately the time of the slowest single call — a response requiring data from three 300ms APIs takes 300ms in parallel rather than 900ms sequentially, a 3x latency improvement that directly impacts user experience.
The system covers dependency analysis to identify parallelisable calls, async parallel execution, partial failure handling (return available results when some sources fail), result aggregation with conflict resolution for overlapping data, and latency comparison confirming the parallel execution benefit.
The system covers dependency analysis to identify parallelisable calls, async parallel execution, partial failure handling (return available results when some sources fail), result aggregation with conflict resolution for overlapping data, and latency comparison confirming the parallel execution benefit.
What the Freelancer needs to start the work
Please share your API list and their dependencies, your aggregation logic for combined results, your partial failure tolerance, your backend language preference, and your latency targets.
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