When implementing concurrent operations, carefully balance performance gains with resource consumption and system stability. Set conservative concurrency limits initially and adjust based on performance metrics rather than assuming higher parallelism is always better.
When implementing concurrent operations, carefully balance performance gains with resource consumption and system stability. Set conservative concurrency limits initially and adjust based on performance metrics rather than assuming higher parallelism is always better.
Key considerations:
Example of optimized async workflow:
// Instead of waiting for all inspects to complete before processing
const results = await Promise.all(
args.map((arg) => detectInspectMonitor(arg, options))
);
// Process incrementally to start dependent operations sooner
const snapshots: Array<Promise<Result>> = [];
for (const path of args) {
const inspectResult = await inspect(path);
// Start snapshot saving immediately, don't wait
snapshots.push(saveSnapshot(inspectResult, options));
}
const results = await Promise.all(snapshots);
This approach reduces overall execution time while maintaining controlled resource usage and predictable behavior.
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