Tokio Gives Progress, Not Ordering: Scheduling 1M Tasks
How spawning 1M Tokio tasks preserved throughput while letting polling order drift from event submission order, and why task creation needs an application-level bound.
Summary
The article discusses how managing one million Tokio tasks can maintain system throughput despite variations in task execution order. It also emphasizes the importance of setting application-level limits on task creation for optimal performance.
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