BlobRouter

Storage Decision Engine

Decision Report

150 TB · AWS S3 · 120 days observed · scale band 4 · list pricing

Current / month

$8,798

Recommended / month

$3,783

Monthly opportunity

$5,015

29-day break-even · 35.9x ROI at 36 months · strategy custom-per-segment

75

Confidence

out of 100

Do not move

compute topology

A storage-price-only model would move this data to cheaper storage. The engine prices what happens after the move.

DO NOT MOVE — Model checkpoints (80 TB stays on aws-s3)

$4,381/ mo transfer penalty if moved

  • Compute reading this data lives in aws-s3 (computeDependency: same_cloud, 95% of reads from in-cloud compute)
  • Same-cloud reads are modeled as free; a cross-provider move bills every read at aws-s3 egress rates
  • Data criticality high — kept on aws-s3 INTELLIGENT_TIERING rather than moved

Moving 80 TB to backblaze-b2 adds ~$4,381/mo in cross-provider transfer while compute stays in aws-s3. Current placement costs $2,186/mo in storage.

DO NOT MOVE — Training data (30 TB stays on aws-s3)

$984/ mo transfer penalty if moved

  • Compute reading this data lives in aws-s3 (computeDependency: same_cloud, 80% of reads from in-cloud compute)
  • Same-cloud reads are modeled as free; a cross-provider move bills every read at aws-s3 egress rates
  • Data criticality critical — kept on aws-s3 GLACIER_INSTANT_RETRIEVAL rather than moved

Moving 30 TB to backblaze-b2 adds ~$984/mo in cross-provider transfer while compute stays in aws-s3. Current placement costs $342/mo in storage.

Where the money goes

20% of the data produces 60% of the opportunity. Inference assets is the segment worth acting on — not the largest one.

Inference assets30 TB

$3,752 $747$3,005/mo

RecommendedToday marker

Moves to Cloudflare R2 · Standard · compute none · criticality high

Model checkpoints80 TB

$3,267 $2,417$850/mo

RecommendedToday marker

Moves to AWS S3 · Intelligent-Tiering · compute same_cloud · criticality high

Training data30 TB

$1,384 $587$797/mo

RecommendedToday marker

Moves to AWS S3 · Glacier Instant Retrieval · compute same_cloud · criticality critical

Logs10 TB

$395 $32$363/mo

RecommendedToday marker

Moves to AWS S3 · Glacier Deep Archive · compute none · criticality low

Total

$8,798$3,783$5,015/mo

Year-1 average monthly cost under the Normal scenario; storage from measured segment size. Egress allocated by this segment's observed share of workload egress.

Recommended architecture

The answer is not a provider. It is a placement per segment.

80 TB · automated tiering

Model checkpoints

AWS S3 · Intelligent-Tiering

30 TB · hot edge delivery

Inference assets

Cloudflare R2 · Standard

30 TB · deep archive

Training data

AWS S3 · Glacier Instant Retrieval

10 TB · deep archive

Logs

AWS S3 · Glacier Deep Archive

Move Inference assets (30 TB) to cloudflare-r2 default

  • 17 TB/mo egress (31% of workload egress) priced at cloudflare-r2 $0/GB
  • No same-cloud compute dependency — moving this segment does not create a recurring transfer tax
  • User-facing with strict latency requirement — placed on hot_edge_delivery
Assumptions and guardrails(expand)

Pricing

Test-only list rates (FALLBACK_PRICING). Absolute dollars are directional; rankings and topology conclusions are the output.

Measured

segment sizescurrent storage classesmonthly egress and reads (CloudWatch)

Modeled

growth projectionfuture egressmigration costorganizational frictioncross-provider topology penalty

Scenarios

Quoted economics use the normal scenario: year 3 at $259,394.

  • Optimistic: $158,675 at year 3
  • Aggressive: $489,260 at year 3

Worst case (gated): modeled 3-year cost $3,926,887 (15.1x Normal) — growth compounding is not calibrated on real bills, so this figure is not quoted as a forecast

Scenarios are labeled assumption bands (growth and egress multipliers), not statistical confidence intervals.

Horizon

Modeled over 60 months; return on investment and savings are quoted at 36 months. Observation window 120 days, data quality excellent.

Storage maturity

74/100 — descriptive only, does not affect ranking.

This is a representative AI startup workload, not a customer account. The engine runs live on the profile; dollars use published list rates and are directional. The rankings and the topology conclusions are the output.