🦎 Lizrd is in private beta. Request early access →

Use case

Cover steady usage with the right commitments

Savings Plans and committed-use discounts are free money on steady baselines — if you size them right. Lizrd finds your safe, always-on floor to commit against.

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

Commitments — Savings Plans, Reserved Instances, committed-use discounts — pay for themselves on steady workloads. But size them too high and you’re locked into capacity you don’t use; too low and you leave the discount on the table. Most teams guess, and guess conservatively.

How Lizrd fixes it

Lizrd looks at your actual usage over time and identifies the always-on floor that’s safe to commit against — the steady baseline under the spiky top — so you can buy coverage for what you genuinely run around the clock, and keep on-demand for the rest.

The outcome

You capture the commitment discount on your steady spend without over-committing. It’s a pricing change, not an infrastructure change — and Lizrd keeps the picture current as your baseline moves.

“We under-committed for years because nobody could confidently say what our steady baseline was. Lizrd drew the line, so we committed to it without holding our breath.”
— FinOps lead, SaaS ~15% on compute

More ways to save

Find this in your own cloud

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