Use case
Fix serverless over-billing (DynamoDB and Lambda)
Serverless still over-bills — provisioned DynamoDB that should be on-demand, idle provisioned concurrency. Lizrd spots the mismatch and the switch to make.
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
“Serverless” doesn’t mean “cost-optimized.” A DynamoDB table left on provisioned capacity for a bursty, unpredictable workload pays for throughput it rarely uses; Lambda provisioned concurrency keeps warm capacity that no traffic needs. The defaults quietly cost more than they should.
How Lizrd fixes it
Lizrd reads the usage pattern behind each serverless resource and flags the mismatch — a provisioned DynamoDB table whose traffic fits on-demand better, idle provisioned concurrency — with the evidence and the exact billing-mode change to make.
The outcome
Your serverless bill starts matching your actual traffic shape. The change is a configuration switch, fully reversible, and Lizrd validates the saving on the next sync.
“A DynamoDB table on provisioned capacity for a spiky workload was quietly wasteful. One switch to on-demand and the bill matched reality.”
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.