Estimate your autoscaling savings
1 / 3 · Workloads
Example- Annual compute spend
- $1,000,000
- 80% can scale with demand
- Demand profile
- Nights & weekends
- 118 quiet hours/week
- Quiet compute: 30% of busy
- Capacity & billing assumptions
- 80% of the opportunity reclaimed
80% of released capacity lowers bills - Scaling work
- 8 hours/week
- 50% recovered at $200/hour
Estimated annual cloud savings
$251,733
Cloud savings range:$201,387–$302,080/year
Estimated compute bill reduction: 25.2%.
Engineering time saved
Annual value of 4 hours/week freed up for building and improving your services.
Combined annual value: $293,333. Cloud savings plus the value of your team’s recovered time.
Estimated against running busy-period capacity throughout the week.
Where your savings come from
Quieter periods give your workloads room to scale down.
With room for performance headroom, your estimate uses 31.47% less compute and reduces compute bills by 25.2%.
Compare your savings scenarios
| Spare capacity reclaimed | Less compute | Cloud savings/year |
|---|---|---|
| 64% · lower | 25.17% | $201,387 |
| 80% · selected | 31.47% | $251,733 |
| 96% · higher | 37.76% | $302,080 |
See how savings change when you reclaim more or less spare capacity. Your workload, billing and team inputs stay the same.
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How this is calculated
- Cloud: annual compute spend × scalable share × quiet hours / 168 × (1 − quiet compute demand) × reclaimable share × billing realization.
- Engineering: team hours/week × automated share × 52 × loaded hourly cost.
Your estimate allows for performance headroom, minimum replicas and cloud charges that remain when workloads scale down. Engineering time is valued at the hourly cost you entered.