Find cloud waste.
Deliver remediation.

WasteLine scans your AWS environment for orphaned, idle, and overprovisioned resources, then generates prioritized findings with cost impact and ready-to-execute remediation artifacts. Results in minutes, not weeks.

For FinOps, platform engineering, cloud architects, and infrastructure teams.

Book a Free Scan 15 min, guided with us
Download the starter pack 10 min, runs in your coding agent
Try the live demo 30-second preview, no install
Read-only, no write API calls No SaaS backend Zero outbound calls Data stays in your account Deterministic rules, not generative AI
What you get

Scan results you can act on, not just read

Every scan produces a prioritized findings table and a ranked remediation plan. Filterable, sortable, export-ready.

Overview Open live demo
WasteLine executive overview dashboard showing 18 findings, $4,021.82 monthly waste, $48,262 annualized, with charts breaking down waste by category, account, confidence level, and blast radius
Your executive snapshot at a glance. Total findings, monthly and annualized cost impact, waste broken down by category and account, plus confidence and blast-radius distributions so you know where to focus first.
Findings Open live demo
WasteLine findings dashboard listing waste resources with category, confidence score, cost impact, and blast radius. Sortable and filterable
Browse, filter, and build your recommended actions. Sort by category, confidence, or blast radius. Pick your quick wins. Each finding includes full detail and remediation scripts. You decide what to act on.
Recommended Actions Open live demo
WasteLine recommended actions showing remediation actions ranked P1 to P4 with effort estimates and pre-built CLI and Terraform scripts
A ranked queue built from your selections. Each finding you include becomes a prioritized action (P1 to P4) with effort estimate and pre-built remediation script ready to execute.
CLI
WasteLine CLI help output showing available commands: setup, scan, demo, doctor, report, browser, deploy, and more
One CLI powers the entire flow. Scan, open the dashboard, generate reports. One command each. No agents, no persistent infrastructure, no data leaves your environment.
Try it live

The real dashboard, running now

Interactive preview with sample data. Click around, filter, sort - it is the actual app.

wasteline.vercel.app Open full view

The dashboard is optimized for larger screens. Open it on a laptop for the full experience - or tap below to try it anyway.

Open full view
The problem

Cloud waste is visible.
Acting on it is not.

Most teams know waste exists. The gap is not detection. It is the effort required to validate findings, calculate impact, and build remediation artifacts that pass review.

  • 1 Native recommendations are fragmented across services and accounts
  • 2 Manual validation and cost estimation consumes engineering hours
  • 3 Scripting remediation per finding is repetitive and error-prone
  • 4 Low-value waste persists because it is tedious to address at scale
  • 5 Leadership needs defensible numbers, not another dashboard

WasteLine closes the gap

One tool that detects waste, quantifies the cost, ranks findings by business impact, and delivers CLI scripts, Terraform snippets, and approval workflows your team can apply directly.

49 detection rules across 7 waste categories, including SageMaker and Bedrock. Executive-ready PDF reports. Full scan on a single account at no cost.

Install, scan, and hand prioritized recommended actions to leadership in one session.

See it in action

Watch the walkthrough

A 5-minute overview of a full scan, from install to executive report.

Recording in production

Claude Code quickstart walkthrough coming soon

We're recording a hands-on walkthrough of a full WasteLine scan driven from Claude Code inside a sandboxed Lima VM. In the meantime, grab the starter pack below and try it yourself - about 10 minutes end-to-end.

Jump to the quickstart ↓

How it works

From scan to remediation in five steps

Each step produces artifacts your team can review, approve, and act on.

1

Detect

Scan for orphaned, idle, overprovisioned, commitment-mismatched, and schedule-blind resources.

wasteline scan
2

Quantify

Each finding includes estimated monthly cost impact from CloudWatch metrics and pricing data.

3

Prioritize

Findings ranked P1-P4 by cost impact, confidence, blast radius, and estimated effort.

4

Remediate

Pre-built AWS CLI scripts, Terraform snippets, and OpenOps approval workflows per finding.

wasteline remediate
5

Track

Compare scans over time. Detect new waste and monitor remediation progress.

wasteline scan --baseline
Quickstart

Deploy WasteLine from Claude Code, Codex, Cursor, Gemini CLI, or Kiro

Download the starter pack. Paste the bootstrap prompt into your AI coding assistant. It discovers the CLI, proposes the config, and runs your scan - with your approval at every step.

1

Download

Grab the Quickstart VM ZIP. Lima VM config, README, and bootstrap prompt - nothing to install beyond Lima.

2

Open in your assistant

Claude Code, Codex, Cursor, Gemini CLI, Kiro. WasteLine exposes itself via --help and MCP, so agents discover commands without reading docs.

3

Scan and remediate

The assistant proposes the scan config, waits for your approval, and hands you back the same findings and remediation scripts as the direct CLI.

The AI assistant orchestrates the CLI. It does not run the detection logic. All 49 rules and every remediation script are deterministic and rule-based - the output is identical whether you run the CLI directly or through an assistant.

Works with Claude Code Codex Cursor Gemini CLI Kiro
Download the starter pack

Lima VM config, README, bootstrap prompt, IAM policy, and Kiro steering file inside.

Detection coverage

49 rules across 7 waste categories

Each rule detects waste, estimates cost impact, and generates remediation artifacts.

9 rules

Orphaned

EBS volumes, Elastic IPs, security groups, AMIs, snapshots, empty S3 buckets, ECR lifecycle, stale multipart uploads, unused secrets

8 rules

Idle

EC2 instances, load balancers, CloudWatch log groups, NAT gateways, S3 buckets, Lambda functions, DynamoDB tables, Redshift clusters

9 rules

Overprovisioned

EC2 compute, EBS storage, RDS databases, S3 storage classes and versioning, CloudWatch log retention, DynamoDB provisioning, ECS Fargate scaling, CloudTrail duplicate trails

5 rules

Commitment gap

Reserved Instance utilization and expiration, Savings Plans coverage and utilization, ElastiCache reserved node coverage

2 rules

Schedule blind

Non-production EC2 running 24/7, Redshift clusters without pause schedule

7 rules

Modernization

Older-generation EC2, EBS, and RDS instance types; x86 to Graviton migration for EC2, Lambda, and ECS; RDS extended-support engine versions

9 rules

FinOps for AI

SageMaker idle notebooks and inference endpoints, stale Studio apps, on-demand training without Spot; Bedrock under-utilized Provisioned Throughput, superseded and orphaned custom models, over-provisioned capacity

Deployment posture

Your data never leaves your account

WasteLine runs entirely inside your AWS environment. No SaaS backend, no shared state, no outbound calls.

Read-only

Get/List/Describe only

No write calls. Enforced by AST analysis in CI and runtime SDK guards.

Network

Zero outbound calls

No telemetry, no phone-home, no license server. Deploy in private subnets with existing NAT or VPC endpoints.

Data

Results stay in your S3

Static dashboard reads a local JSON file. No server, no shared state, no cross-tenant exposure.

Audit

SHA-256 signed findings

Deterministic scans with manifest hash verification. Safe for CI/CD and change management.

Built from practice

Productized from enterprise FinOps delivery

WasteLine is not a generic scanner. It is built from patterns observed across real FinOps engagements, where teams need defensible recommended actions, not another cost dashboard.

Every detection rule, prioritization model, and remediation template is designed to fit governance and approval workflows. The output is structured for teams that need to present findings to leadership and execute changes through established processes.

WasteLine is part of OptimNow. Simple, Smart, and Sustainable Cloud Financial Management.

Pricing

Start free. Scale when you're ready.

See your full waste exposure at no cost. Unlock detailed findings, remediation, and automation as you grow.

Free
$0
No credit card required
See what you're wasting. Full scan across all 49 rules, with detailed findings for the 5 most common waste types.
  • All 49 detection rules scanned
  • 5 rules fully detailed (EBS, EIPs, S3, SGs, Bedrock)
  • 44 rules shown as summaries
  • Interactive dashboard
  • JSON & CSV output
Book a Free Scan
Professional
$2,500
Per year
All 49 rules fully unlocked with remediation scripts, executive reports, and multi-account scanning.
  • All 49 rules with full detail
  • CLI, Terraform & OpenOps remediation
  • PDF/HTML executive reports
  • Multi-account scanning
  • AI-powered narrative & drift tracking
Talk to us about Pro
Enterprise
$12,500/yr
Per year
Continuous, automated cloud waste detection for teams running their own FinOps practice.
  • Everything in Professional
  • Automated Fargate scanning
  • CUR integration (actual costs)
  • AWS-native recommendation ingestion
  • White-label dashboard
  • CloudFormation one-click deploy
Talk to OptimNow
Enterprise+
$25,000/yr
Per year · Managed
Everything in Enterprise, plus a dedicated FinOps advisor. 1 day/month of hands-on support.
  • Everything in Enterprise
  • Monthly facilitated review
  • Progress & maturity coaching
  • Stalled-remediation accountability
  • Strategic commitment & scheduling advice
  • Direct OptimNow FinOps expertise
Talk to OptimNow

All plans are annual. Need a custom scope? We also offer ad-hoc workshops and standalone consulting engagements.

Ad-Hoc Workshops

Standalone consulting engagements: scoped, deliverables-based, priced per engagement.

Commitment Management

Optimize your RI and Savings Plan portfolio. Utilization analysis, term strategy, marketplace exit planning, and renewal timing.

FinOps for AI

Right-size AI/ML infrastructure spend with WasteLine's native SageMaker and Bedrock detection, plus strategic guidance on GPU instance selection, commitment strategy, unit economics, and spot/on-demand mix.

Budget, Forecast & Governance

Design your cloud cost governance framework. Remediation SLAs, budget allocation, tagging governance, and executive reporting cadence.

Run the full scan. See what you find.

49 rules, executive report, and remediation artifacts on your account, at no cost. Book a 15-minute walkthrough, or run it yourself.

Book a Free Scan Download the starter pack