Google Cloud Scheduler Cost: Jobs, Targets, and Retries

Cloud Scheduler pricing is based on the number of jobs, not how often each job runs. Google currently lists three jobs per month free for each billing account and charges $0.10 per job per 31 days after that allowance. The allowance is shared across projects attached to the billing account, so inventory jobs account-wide before applying it.

Paused jobs still count, while billable usage is calculated per day. For a planning estimate, count active and paused jobs, subtract the available account-level allowance, and prorate short-lived billable jobs by the days they exist. Confirm the current official pricing page before approving a budget because rates and allowances can change.

The Scheduler job fee does not include the work performed by its target. Add the applicable cost of the HTTP service, Cloud Run service or function, Pub/Sub topic and subscriber, or App Engine application, plus logging, storage, database operations, and network transfer caused by each invocation.

Estimate target usage as scheduled runs × successful deliveries × work per delivery. Frequency usually changes the target bill even though it does not change the Scheduler fee for an existing job. Separate hourly, daily, and batch workloads so an inexpensive cron definition does not hide an expensive query or compute task.

Cloud Scheduler uses at-least-once delivery and can retry failures with exponential backoff. A retry does not create another Scheduler job charge, but every additional delivery can consume target compute, Pub/Sub, database, API, and logging resources. Track attempt counts and investigate timeout or acknowledgement mismatches before they become recurring downstream cost.

Make handlers idempotent so a repeated request does not duplicate paid work or business actions. Review stale and paused jobs regularly, set an appropriate attempt deadline and retry policy, and monitor both job inventory and target-service metrics. For scheduled container work, compare the downstream execution model separately from the small Scheduler control-plane fee.

Estimate Cloud Run jobs, tasks, and scheduled workload costs