Rightsize High confidence
Downsize the prod EKS node group
eks · prod-workers
$4,800/mo
CPU 22% · Mem 31% · 30-day avg
Code diff · eks/main.tf
- instance_type = "m6g.2xlarge"+ instance_type = "m6g.xlarge" Accept View guidance
Platform
Full Transparency and Guidance to Power Your Optimizations
Most tools stop at the chart. Lizrd is built for engineering teams and takes you all the way — from real data to the exact fix — so every optimization ships fast and lands as real savings. In four steps.
01 · Discover
See Everything You Run
Connect cloud and code read-only. Lizrd maps your resources, usage, and cost into one clear picture — no more guessing where the money goes.
Monthly Infrastructure Cost $19,800/mo
▾Compute · EC2 / EKS $13,700 · 69%
AWS $13,700
prod-eks · workers $4,000/mo
prod-eks · nodegroup $7,700/mo
api-service $990/mo
Networking · NAT / transfer $4,500 · 23%
Databases · RDS $660 · 3%
Cache · ElastiCache $500 · 3%
Storage · S3 / EBS $440 · 2%
Sized by monthly cost — the biggest tile is your biggest spend.
💻 Compute · $13,700
AWS prod-eks-cluster $4,000/mo
AWS eks-nodegroup-a $3,850/mo
AWS eks-nodegroup-b $3,850/mo
AWS api-service $990/mo
AWS web-service $500/mo
AWS worker $500/mo
🌐 Networking · $4,500
AWS prod-nat-gateway $1,800/mo
AWS staging-nat $1,800/mo
AWS vpc-endpoints $900/mo
Databases · $660
$660/mo
Cache · $500
$500/mo
Storage · $440
$220/mo
$220/mo
Code base AWS
✦ Web Flow
AWS · 1 account · $19,800/mo
📦 lizrd-ai/app
☁️ AWS account
028658486047
028658486047
💾 EBS volume
⚖️ Load balancer
🌐 NAT gateway
☸️ EKS cluster
🖥️ EC2 instance
🚀 ECS service
🗄️ Database
📍 Elastic IP
🪣 S3 bucket
⚡ ElastiCache
📇 K8s workload
Total Cost Trend
Currently $19,800/mo across all connected clouds
7D 30D 90D
$28K$21K$14K$7K$0
30 days agoToday
02 · Prioritize
The Most Powerful Optimizations, First
Every opportunity is ranked by impact and backed by evidence and a confidence level — so your team ships the changes that matter (and the biggest savings) instead of chasing noise.
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
03 · Implement
Not Just What — Exactly How
Each recommendation is a concrete change: the resource, the evidence, the saving, and the precise diff — with effort, risk, and rollback.
04 · Validate
Prove the Money Saved
After you apply a change, Lizrd measures the outcome and validates the realized savings against your real bill — numbers you can report, not estimates you have to defend.
Realized Savings
Validated
$41.3k realized
cumulative AprMayJunJulAugSep
Estimated $44.0k → Realized $41.3k (94%)
New AI & GPU infrastructure
The Same Four Steps, Now for AI Spend
GPU and inference costs grow fast and hide well. Lizrd applies the exact same discover → prioritize → implement → validate flow to your AI infrastructure — reading real GPU utilization, endpoint traffic, and accelerator sizing to find waste, then handing you the precise fix.
- ◆ Idle & underused GPU instances and managed inference endpoints
- ◆ Over-provisioned accelerators — the right accelerator at the right size
- ◆ Endpoints that should scale to zero; batch jobs that belong on Spot GPUs
- ◆ Across SageMaker & Bedrock, Vertex AI, and Azure ML & OpenAI
AI · Idle High confidence
Remove the idle inference endpoint
sagemaker · fraud-scoring-v2
$2,190/mo
ml.g5.xlarge · 0 calls in 14 days
Utilization · 30-day
GPU 1%
Calls 0%
Recommended action · No traffic in 14 days, but the GPU endpoint bills around the clock. Delete it (model and config retained) or move it behind a scale-to-zero config.
Accept View guidance
Works With Your Stack
Connect the Tools You Already Run
Point Lizrd at your clouds and code. It's strongest when your infrastructure is defined as code (Terraform and more): every recommendation ties to the exact file to change, so acting is a copy-paste diff. No infrastructure-as-code? Lizrd still finds the savings and guides you through them, step by step.
Clouds
Code repositories
🔒 Lizrd reads only your infrastructure data — never your customers' data.
Core Values
What Lizrd Stands For
Four principles behind every recommendation — from how we explain your cost to how we protect your access.
Total transparency
See exactly where every dollar goes — and why. Lizrd explains each resource in depth, not just charts it on a dashboard.
Per-resource detail Cost drivers Plain language
Built for engineers
Not another FinOps tool for finance teams. Lizrd speaks your stack and makes every optimization simple to grasp and act on.
Engineer-first No FinOps jargon
End-to-end guidance
From finding to fix: the exact code change, a risk assessment, one-click execution, and a safe rollback — the whole path, guided.
Code snippets Risk assessment One-click execute Rollback
Secure by design
We only ever read. Credentials are encrypted with AES-256-GCM under KMS-managed keys, with RBAC and Postgres row-level isolation keeping every tenant apart.
Read-only AES-256-GCM KMS keys RBAC Row-level isolation
See What Lizrd Finds in Your Cloud
Connect read-only and get your first prioritized optimizations — the exact fix included.