Use case
Rightsize Redshift and BigQuery
Warehouses are among the biggest, least-watched cloud lines. Lizrd finds over-provisioned Redshift clusters and BigQuery reservations — and the fix.
eks · prod-workers
$4,800/mo
High
rds · analytics-staging
$1,180/mo
Medium
ecs · checkout-api
$640/mo
High
ec2 · 14 × gp3
$312/mo
High
The problem
Data warehouses grow to fit a launch or a backfill and rarely shrink back. A Redshift cluster or a BigQuery reservation ends up sized for a peak that passed months ago — and because it’s shared and business-critical, no one wants to be the one to touch it.
How Lizrd fixes it
Lizrd reads warehouse utilization and configuration and proposes a right-sized target — a smaller Redshift node configuration, or a BigQuery slot commitment matched to steady usage — with the utilization evidence, a confidence level, and the projected saving so the change is defensible, not a guess.
The outcome
The biggest line on the bill gets an owner and a starting point. You resize with data behind you, and Lizrd validates the realized saving once it lands.
“Our warehouse was the single biggest line on the bill and nobody owned it. Lizrd showed the utilization and a defensible smaller configuration — finally a place to start.”
More ways to save
Cover steady usage with 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.
Cut idle networking waste
Idle NAT gateways, unattached elastic IPs, and load balancers with no traffic bill around the clock. Lizrd finds them and confirms what's safe to remove.
Delete orphaned resources
Unattached volumes, unused IPs, and stale snapshots keep billing with nothing using them. Lizrd finds them and confirms they're safe to remove.
Find this in your own cloud
Connect read-only and Lizrd surfaces the highest-impact fixes — with the exact change to make.