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Minor architecture diagram improvements
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docs/overview.md

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## Architecture Diagram
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docs/workloads/async/async.md

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The pool of workers running your containers autoscales based on the average number of messages in the queue and can scale down to 0 (if configured to do so).
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docs/workloads/batch/batch.md

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You can make GET requests to the BatchAPI endpoint to get the status of the Job and metrics such as the number of batches completed and failed.
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docs/workloads/realtime/realtime.md

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The proxy is responsible for receiving incoming requests, queueing them (if necessary), and forwarding them to your pod when it is ready. Autoscaling is based on aggregate in-flight request volume, which is published by the proxy sidecars.
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docs/workloads/task/task.md

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You can make GET requests to the Task API endpoint to retrieve the status of the Task.
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