This example shows a serverless Azure Function that computes a single row of a Mandelbrot set and writes it to blob storage, demonstrating parallel execution by partitioning the workload across multiple function invocations. The code uses an `IBinder` to dynamically create a blob output for each batch, with `Generate.LinearSpaced` generating the x-coordinates and LINQ’s `Select` mapping each x-value to a `MandelbrotPoint` at a fixed y-coordinate. Each function run processes one batch and serializes the resulting row as JSON via `JsonConvert.SerializeObject`, saving it as a GUID-named blob in the specified folder. The visualization implicitly relies on the aggregation of these row blobs, though the rendering itself is not shown here.