DEVOPS
Scheduled Pre-Warm Before Replicate Traffic Peak
On a cron tuned to your daily traffic ramp, pre-warms a Replicate model with a batch of warm-up predictions and posts a readiness summary to Slack so the team knows the endpoint…
How it runs
The automated pipeline, trigger to output.
- TriggerCron before daily traffic peak
- ActionSubmit batch of warm-up predictions to ReplicateReplicate
- ActionRead back prediction timings to confirm warmReplicate
- LogicEnough workers warm within target latency?
- OutputPost readiness summary to SlackSlack
What it does
This workflow eliminates the first-wave cold start by warming a Replicate endpoint a few minutes before your known daily traffic spike. Instead of reacting to slow requests, it preemptively boots enough workers and confirms they're responding fast, then reports readiness to your team channel.
When to use it
Use it when your Replicate-backed feature has a predictable demand curve — a morning login rush, a marketing email send, a scheduled batch job — and you want guaranteed warm capacity exactly when users arrive, without paying for idle workers all night.
How it works
A scheduled trigger fires shortly before your peak window. An action submits several concurrent warm-up predictions to Replicate to provision and boot workers. A second action reads back the predictions' timings to verify they completed quickly (workers are now resident). A logic step checks whether enough workers warmed within the target latency. The flow then posts a Slack message summarizing how many workers are hot, measured warm latency, and a go/no-go readiness flag for the upcoming peak.
Set it up
What you configure once, before turning it on.
- 1Connect ReplicateImage, video, and model inference.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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