Interactive workbench
Database Capacity Planner
Project storage, indexing, and backup growth for transactional data systems.
How much storage, index overhead, and backup space will this data model need over time?
How to use & What you leave with
Configuration Suite
Surgically adjust parameters for Database Capacity Planner
Methodology
This tool automates the core architectural decisions required for high-performance scale. It eliminates spreadsheet errors and gut feeling by using post-2026 optimized algorithms.
Output Precision
- Surgical accuracy for production loads
- Ready for direct export to Terraform/Docs
Engine determines overhead multiplier and optimization advice.
Average daily insert volume.
Typical row payload including all columns.
How long data is kept before archival or deletion.
Storage overhead from indexes — typically 1.3–2.0×.
Number of full backup copies maintained.
Expected monthly data growth for 12-month projection.
PRO TIP: Changes reflect in real-time. Use shortcuts for fast navigation.
Live footprint
701.75 GB
Effective storage
2,421.04 GB
Total rows
328.5M
Monthly growth
57.68 GB
Month 12 projection
2,002 GB
Storage cost
$168/mo
Key Insights
- postgresql engine with 701.75 GB live data (328.5M rows). Engine overhead adds 15% → 2,421.04 GB effective.
- At 10% monthly growth, live data reaches 2,002 GB in 12 months. Plan for storage scaling and potential partitioning.
- Estimated write IOPS: ~11/sec. gp3 baseline IOPS sufficient.
- Storage cost: ~$168/mo on General purpose. Backups add 1,403.5 GB (2 copies).
Actionable Next Steps
- Plan table partitioning or archival strategy before hitting 500+ GB live data.
- Review backup retention policy — each copy adds 701.75 GB to your storage bill.
- gp3 baseline is sufficient — monitor IOPS utilization monthly.
- Export the capacity forecast and share with the DBA team for procurement planning.
Analysis Metrics
Benchmarks & Comparison
| Storage tier | $/GB/mo | IOPS included | Monthly cost | Annual cost | Fits workload |
|---|---|---|---|---|---|
| General purpose | $0.08 | 3,000 | $168 | $2,021 | Yes |
| High IOPS | $0.125 | 64,000 | $263 | $3,158 | Yes |
| Cold / archive | $0.045 | 500 | $95 | $1,137 | Yes |
Actionable Exports
Decision Log
This tool automates the core architectural decisions required for high-performance scale.
Surgical Precision
Eliminate spreadsheet errors and gut feeling with post-2026 AI.
Seamless Workflow
Move results straight to Terraform, Jira, or Confluence.
The Lab Result
Post-2026 Audit Complete
This workflow has been surgically optimized by AutonomOps AI for Architecto Power Users.
FAQ
Questions teams ask before they adopt this workflow.
When should teams use Database Capacity Planner?
This tool is most useful when the team needs an answer they can carry into diagrams, documentation, and design reviews without rewriting the same context three times.
Who benefits most from Database Capacity Planner?
Architects, platform teams, and technical leads benefit most because they need explicit assumptions, clear review cues, and artifacts that survive implementation handoff.
How does Database Capacity Planner connect back to Architecto?
Architecto uses the free content surface as the top of a larger workflow. Once the team needs richer diagrams, schema visibility, change comparison, or technical documentation, the matching product module keeps the same decision context alive.
Related workflow paths
Keep moving with the next tool, guide, or product module.
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Comparison
Architecto vs Cloudcraft
Architecto vs Cloudcraft with a workflow-first comparison across diagrams, architecture review, technical documentation, and code-adjacent implementation evidence.
Continue in Architecto
Use the exported artifact from Database Capacity Planner as the first review input, then move into Db Visualizer when the team needs a deeper design, diagram, or review workflow.
Open matching moduleRelated modules