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Use case

Catch cost and waste in code review, before it merges

Lizrd reviews infrastructure pull requests and comments the cost delta and waste before merge — grounded in your graph, not just the diff.

Cost Optimization $6,932/mo found
1
Rightsize Downsize the prod EKS node group

eks · prod-workers

$4,800/mo

High

2
Idle Stop the idle staging database

rds · analytics-staging

$1,180/mo

Medium

3
Rightsize Trim the over-provisioned checkout API

ecs · checkout-api

$640/mo

High

4
Orphaned Delete 14 unattached EBS volumes

ec2 · 14 × gp3

$312/mo

High

The problem

The cheapest waste to fix is the waste that never ships. But an infrastructure pull request is just a diff — a reviewer sees instance_class go up, not that the box already runs at 18% CPU, that it costs $320/mo today, or that Lizrd already recommended shrinking it. So over-provisioning and anti-patterns sail through review and land on next month’s bill.

How Lizrd fixes it

Lizrd reviews every infrastructure pull request on GitHub and GitLab and comments before merge with the projected monthly cost delta and any waste anti-patterns. What sets it apart from a generic review is the knowledge graph: for a change to a resource Lizrd already tracks, it grounds the comment in the real cost, measured utilization, and the recommendation it already made — and flags a change that runs counter to that advice. It’s read-only — a comment and a commit status, never a change to your code.

The outcome

Cost and waste get caught in review, where the fix is a one-line change and nobody has paid for the mistake yet. The same evidence-backed analysis as the rest of Lizrd, shifted left to the pull request.

“A PR doubled a database we already knew ran at 18% CPU. Lizrd flagged it in the review with the number attached — we caught it before it shipped, not on next month's bill.”
— Platform engineer, B2B SaaS caught before merge

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Connect read-only and Lizrd surfaces the highest-impact fixes — with the exact change to make.