01
Spread across services
Waste hides across storage, compute, networking, and data layers, often across multiple regions, accounts, and projects.
Cloud Waste Hunter gives teams a detector-driven way to find hidden waste across AWS and GCP, estimate savings, and focus on the fixes with the clearest cost impact.
Findings
6
Est. monthly savings
$420
Est. annual savings
$5,040
Finding
Monthly
BigQuery Storage Billing Mismatch
Monthly
$160
Unattached EBS volumes
Monthly
$140
S3 Incomplete Multipart Uploads
Monthly
$120
The problem
Most cloud waste is not a headline event. It is quiet, distributed, and easy to miss until storage, networking, or data charges keep compounding in the background.
01
Waste hides across storage, compute, networking, and data layers, often across multiple regions, accounts, and projects.
02
Teams can see spend is climbing without knowing which stale disk, idle gateway, or lifecycle gap is worth fixing first.
03
Operators need detector-level findings, savings ranges, and remediation guidance they can act on quickly.
How it works
The workflow stays intentionally narrow: detect concrete waste patterns, estimate impact, and point operators toward the next fix.
Inspect AWS accounts and GCP projects for resources that commonly drift into silent spend.
Flag patterns such as unattached disks, cleanup gaps, idle gateways, and stale data retention.
Explain how to verify the issue manually and which remediation path usually makes sense.
Estimate monthly and annual savings so cleanup work can be ranked against engineering time.
Credibility
Cloud Waste Hunter is being developed from years of CloudOps cost investigations across AWS and GCP. The detector library is shaped by repeat cost reviews, not theoretical best-practice lists.
Field
Built from hands-on investigations into unexpected spend across production environments.
Pattern
Focused on repeatable waste patterns such as orphaned storage, idle infrastructure, and cleanup gaps.
Workflow
Each detector is written to help operators verify impact and choose a practical remediation path.
Detector library
Published detector guides already show concrete AWS and GCP waste coverage, expected savings ranges, and practical remediation paths.
14 published detector guides
AWS + GCP coverage from day one
Technical mini-guides before product launch
Unattached EBS volumes keep billing after an EC2 instance is deleted, replaced, or scaled down. The cost is easy to miss because the storage survives even when the workload is gone.
Potential savings
$40 to $2,200 / month
$480 to $26,400 / year
Detector ID
aws-ebs-unattached
S3 incomplete multipart uploads create storage cost when failed or abandoned uploads leave billable parts behind. This usually happens after artifact, export, or ingestion jobs stop before cleanup runs.
Potential savings
$25 to $600 / month
$300 to $7,200 / year
Detector ID
aws-s3-incomplete-multipart-uploads
BigQuery storage billing model mismatch creates avoidable cost when a dataset stays on the wrong billing model for its churn, compression, and retention pattern. Teams often miss it because query cost gets reviewed more often than dataset storage behavior.
Potential savings
$150 to $3,000 / month
$1,800 to $36,000 / year
Detector ID
gcp-bigquery-storage-billing-model-mismatch
Early Access
The detector library is live now. Join the waitlist for launch updates, new detector coverage, and first access when Cloud Waste Hunter opens up.
Use the library today to inspect the detector direction and the kind of operational guidance the product is being built around.
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Waitlist
Join early access for product updates, priority onboarding, and detector coverage expansion across AWS and GCP.
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