Parallel execution with Azure Functions PART1

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Parallel execution with Azure Functions PART1

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Last edited May 9, 2017

Created on May 9, 2017

This example demonstrates a serverless approach to computing a Mandelbrot set in parallel using Azure Functions. It shows how an HTTP-triggered function decomposes a rendering task into discrete horizontal strips, each queued as a separate work item via `IAsyncCollector<MandelbrotBatch>`. The code uses `HttpRequestMessage` to receive a `MandelbrotSetRequest`, generates evenly spaced y-coordinates with `Generate.LinearSpaced`, and enqueues each batch with a unique output folder GUID. The function returns the folder ID to the caller, while the queue orchestrates distributed processing of each row, leveraging Azure Queues for scalable parallelism.

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