FINOPS · WASTE CLEANUP
Find the waste. Know what it costs. Clean it up safely.
Zaysa scans AWS, Azure, Google Cloud and DigitalOcean for resources you pay for and do not use, puts a monthly cost on each one, and groups abandoned projects into one finding. Every cleanup starts with a safety checklist.
THE USUAL WAY
The bill grows, and nobody knows what is safe to delete.
Example data.
Waste Cleanup
Total waste items
0
Potential savings
$0/mo
Critical items
0
Monthly waste cost
$0/mo
Optimization scan
Finding wasteful resources across four cloud accounts.
The report shows each resource’s category, severity and potential saving.
Details
Finding details
Resource, cost, severity and next step are kept together.
Choose a finding to review
From finding to recorded action
01Read the issue and monthly cost
02Show recommendation
03Complete the safety checklist
04Record the action in History
Your cloud remains yours
Cleanup records the action and its projected saving. Make the resource change in your cloud after checking it.
- 01Scan every cloud
- 02Waste, in dollars
- 03One dead project, not eight lines
- 04What to do about it
- 05Safety first
- 06On record
- 07Your rules, on top of ours
Example data.
How it works
Scan, price, clean up
Scan
Scan AWS, Azure, Google Cloud and DigitalOcean for wasteful resources.
Example data.
Price
Read each finding with its category, severity, monthly cost and potential saving.
Unattached · Critical
vol-0b2e91 · 500 GiB gp3 · eu-west-2
$40/mo potential saving
Example data.
Clean up safely
Check the resource, complete the safety checklist and record the action. Make the cloud change yourself.
Safety checklist · vol-0b2e91
DELETE
Confirm delete → Record action
Example data.
Waste categories
Six kinds of waste
Switch between Idle, Unattached, Oversized, Orphaned, Stopped and Old to see what each finding means, what resource is affected and its monthly amount.
analytics-worker-2
$283/mon2-standard-8 · europe-west2 · Google Cloud · 28 days
High · Idle
Running with almost no use.
Show recommendation
Example data.
Dead Project Detective
Find the project behind the line items
Within one account, Dead Project Detective groups idle and waste resources by a Project, Application, App, Service, Workload, Stack, Team or Owner tag, or by a shared name prefix. High, Medium or Low confidence reflects how much of the group is waste, names or tags suggesting an old environment, the mix of resource types and the number of resources. Totals use the account’s own currency.
AWS · shop-prod · one account
↓ grouped by project
8 resources · instances, volumes, load balancer · confidence High
Example data.
Guided cleanup
Cleanup you can stand behind
Cleanup does not change your cloud. It records the action and the projected saving; you make the change in your cloud after checking the resource is safe to change.
Show recommendation, dismiss a resource that is fine, or use Cleanup to record Delete resource, Stop resource or Schedule for later. Resize and detach appear for matching categories. You can use bulk cleanup or bulk dismiss, export CSV, then review recorded actions in History and waste trends and savings estimates in Analytics.
Want compute stopped on a schedule? AutoStopping →vol-0b2e91 · Delete resource
Unattached for 41 days. Check the snapshot, then delete it.
Safety checklist
Cleanup does not change your cloud. It records the action and the projected saving; you make the change in your cloud after checking the resource is safe to change.
Example data.
ON THE PRO PLAN
From a list of waste to money saved
Finding waste is on Free. Pro adds the tools to review and record cleanup. Savings remain projected until you make the cloud change.
Guided cleanup
Review the recommendation and safety checklist before recording an action.
Dead Project Detective
See related waste resources as one project, with the signals behind its confidence.
Your own waste rules
Add checks to the scans while Zaysa’s own checks continue to run.
Scheduled scans
Run scans on a schedule to keep finding waste.
Questions
Frequently asked questions
Optimization scans AWS, Azure, Google Cloud and DigitalOcean for wasteful resources. Reports show per-resource savings and severity.
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