Model artifact growth, retention, replicas, and downloads. Reveal monthly costs, annual outlook, savings, and planning clarity for every engineering team.
Effective Artifact Size (MB) = Average Artifact Size × (1 − Compression % ÷ 100)
Monthly Stored GB = (Artifacts Per Month × Effective Size × Replicas × Retention Days ÷ 30) ÷ 1024
Monthly Storage Cost = Monthly Stored GB × Storage Rate
Monthly Access Cost = Retrieval GB × (Retrieval Rate + Egress Rate)
Monthly Total Cost = Monthly Storage Cost + Monthly Access Cost
Annual Total Cost = Monthly Total Cost × 12
Cost Per Artifact = Monthly Total Cost ÷ Artifacts Per Month
| Scenario | Artifacts/Month | Avg Size MB | Compression | Replicas | Retention Days | Stored GB | Monthly Cost |
|---|---|---|---|---|---|---|---|
| Small CI Team | 600 | 180 | 15% | 1 | 30 | 89.65 | $2.41 |
| Mid Product Team | 1200 | 250 | 20% | 2 | 45 | 351.56 | $11.59 |
| Large Multi-Region | 3000 | 420 | 25% | 3 | 60 | 1661.13 | $46.71 |
Values above illustrate typical storage-only patterns. Final cost changes when retrieval and egress are added.
It estimates artifact repository cost using storage volume, retention length, replica count, downloads, and projected growth. It helps engineering teams compare cleanup policies against budget impact.
Longer retention means more artifacts remain billable at the same time. Even when monthly creation stays constant, stored volume rises because fewer files are deleted.
Compression is applied as a reduction to average artifact size before storage is calculated. Higher compression lowers billed gigabytes and improves long-term savings.
Replica copies represent duplicated artifact data for redundancy, backup, or regional availability. More replicas increase resilience, but they also multiply stored capacity cost.
Yes, when your provider bills outbound transfers. Teams often miss this line item, especially when artifacts are downloaded across regions, runners, or external deployment environments.
It shows the average monthly storage burden allocated to each created artifact. This is useful when comparing pipeline efficiency across projects or release strategies.
Yes. It provides annual total cost and a twelve-month projection with growth. That makes it useful for budgeting, vendor comparison, and retention policy reviews.
Recalculate whenever build frequency, artifact size, compression efficiency, retention policy, download traffic, or provider pricing changes. Small parameter shifts can materially change annual spend.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.