cloudleak 1.0.3

Production-grade AWS FinOps CLI scanner

cloudleak

Production-grade, read-only AWS FinOps CLI scanner. Find the resources in your AWS account that are spending money for no productive reason.

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What is cloudleak?

cloudleak connects to your AWS account using your existing credentials and scans resources across one region or all regions, producing a prioritised finding report. Each finding includes the specific evidence that triggered it, an estimated monthly waste figure, and a concrete recommendation.

143 rules across EC2, EBS, Networking, RDS, S3, Lambda, CloudWatch, AI/ML, Containers, Security, Governance, Analytics, Messaging, Desktop, and more.

Why not just use Cost Explorer?

Cost Explorer tells you what you spent. cloudleak tells you why you're over-spending and which specific resources to address. It integrates AWS Compute Optimizer right-sizing signals, checks for resources that are running but idle, and catches governance anti-patterns that inflate your bill invisibly (untagged resources, missing lifecycle policies, provisioned throughput sitting empty).

Key properties

• Read-only always. Zero mutations. Safe to run in production accounts with least-privilege.
• Graceful permission degradation. AccessDenied marks a rule SKIPPED — it never crashes.
• Offline pricing. Prices are loaded from a local prices.json cache. No live pricing calls during a scan.
• Parallel execution. Rule groups run concurrently via a thread pool.
• Configurable thresholds. Every idle-day window, CPU threshold, and size limit is driven by cloudleak.yaml.
• No telemetry. Safe for air-gapped and regulated environments.

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Installation

AWS credentials must be configured before running a scan (any standard method: SSO, env vars, ~/.aws/credentials, instance role).

pip / pipx (recommended)

Requires Python 3.10+.

# pipx keeps cloudleak isolated from your other Python environments
pipx install cloudleak

# or plain pip
pip install cloudleak

Standalone binary (no Python required)

Download the pre-built binary for your OS from GitHub Releases:

OS	File
Linux x86-64	cloudleak-linux-x86_64
macOS (Apple Silicon)	cloudleak-macos-arm64
Windows x86-64	cloudleak-windows-x86_64.exe

# Linux / macOS — make executable first
chmod +x cloudleak-linux-x86_64
./cloudleak-linux-x86_64 --version

Standalone binaries are the recommended installation for air-gapped and regulated environments where pip install is not available.

Docker

docker run --rm \
  -e AWS_ACCESS_KEY_ID \
  -e AWS_SECRET_ACCESS_KEY \
  -e AWS_SESSION_TOKEN \
  -e AWS_DEFAULT_REGION=us-east-1 \
  ghcr.io/ragnild/cloudleak scan aws region us-east-1

# Or mount your ~/.aws directory for SSO / named profiles
docker run --rm \
  -v ~/.aws:/root/.aws:ro \
  ghcr.io/ragnild/cloudleak scan aws region us-east-1 --profile my-profile

Homebrew (macOS / Linux)

brew tap ragnild/cloudleak
brew install cloudleak

Install from source

git clone https://github.com/ragnild/CloudLeak
cd CloudLeak
pip install -e ".[dev]"

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Quick start

Step 1 — Check permissions

cloudleak doctor aws

This runs a pre-flight check against your current credentials. It reports which permissions are available and which rules will be SKIPPED due to missing permissions.

Step 2 — Refresh the pricing cache

cloudleak prices update

Downloads on-demand pricing from the AWS Pricing API and writes ~/.cloudleak/prices.json. Run this once, then again whenever you want fresh prices (the scanner warns you if the cache is older than 30 days).

Step 3 — Scan a region

cloudleak scan aws region us-east-1

That's it. cloudleak prints a colour-coded report to your terminal and exits.

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CLI Reference

cloudleak scan aws region <region>                  Scan a single region
cloudleak scan aws --all-regions                    Scan all active regions
cloudleak scan aws region <region> --profile <name> Use a named AWS CLI profile
cloudleak scan aws region <region> --export json    Export findings to JSON
cloudleak scan aws region <region> --export csv     Export findings to CSV
cloudleak scan aws region <region> --export html    Export findings to HTML report
cloudleak scan aws region <region> --export all     All formats simultaneously
cloudleak scan aws region <region> --config ./cloudleak.yaml  Custom config file
cloudleak scan aws --rules ec2,rds,s3 region <region>         Scope to rule groups
cloudleak scan aws region <region> --severity HIGH            Only HIGH findings
cloudleak doctor aws                                Pre-flight permission check
cloudleak prices update                             Refresh local pricing cache
cloudleak rules list                                List all rules
cloudleak rules describe <rule-id>                  Full spec for one rule

cloudleak scan aws

Flag	Default	Description
region <region>	—	Scan a specific AWS region
--all-regions	false	Enumerate and scan all active regions
--profile <name>	(env/default)	Named AWS CLI profile
--export <format>	console	json, csv, html, all
--output-file <path>	stdout	Write export to file
--config <path>	(searched)	Path to cloudleak.yaml
--rules <groups>	all	Comma-separated rule groups: ec2, ebs, networking, rds, s3, lambda, cloudwatch, aiml, containers, security, governance, analytics, messaging, desktop
--severity <level>	all	Filter: HIGH, MEDIUM, LOW
--verbose	false	Show per-rule PASS/FOUND/SKIP detail

cloudleak doctor aws

Checks every IAM permission in the manifest against your current credentials. Exits 0 if all available, 1 if any missing.

cloudleak prices update

Calls the AWS Bulk Pricing API (us-east-1 endpoint) and writes ~/.cloudleak/prices.json. Requires pricing:GetProducts permission. Does not need to run in a specific region.

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Configuration

cloudleak searches for cloudleak.yaml in: ./, ~/.cloudleak/, /etc/cloudleak/.

Copy cloudleak.yaml.example from the repo as your starting point — every key is documented inline.

Key sections

Section	Controls
scan.lookback_days	CloudWatch metric lookback window (default: 14)
scan.parallel_workers	Max concurrent rule groups (default: 10)
thresholds.ec2.*	EC2 idle/stopped thresholds
thresholds.ebs.*	EBS unattached/snapshot/AMI age thresholds
thresholds.networking.*	LB/NAT/VPN/TGW idle thresholds
thresholds.rds.*	RDS/Aurora/ElastiCache idle thresholds
thresholds.s3.*	S3 request/lifecycle/EFS thresholds
thresholds.lambda.*	Lambda/SFN/SQS idle thresholds
thresholds.cloudwatch.*	Log group retention/idle/alarm thresholds
thresholds.aiml.*	SageMaker/Bedrock/Comprehend/Rekognition/Kendra/Lex thresholds
thresholds.containers.*	ECS/ECR/EKS/AppRunner thresholds
thresholds.security.*	Secrets Manager/KMS/IAM idle thresholds
thresholds.governance.*	Required tags list
thresholds.analytics.*	Redshift/OpenSearch/Glue/Kinesis/MSK/EMR idle thresholds
thresholds.messaging.*	Amazon MQ/Firehose idle thresholds
thresholds.desktop.*	WorkSpaces/AppStream idle thresholds
pricing.cache_file	Path to prices.json
pricing.warn_if_stale_days	Age after which a stale-cache warning is shown

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IAM Setup

Attach the managed policy

The iam/cloudleak-read-policy.json file in this repo is a deployable IAM policy that grants every read permission cloudleak needs.

# Create the policy in your account
aws iam create-policy \
  --policy-name CloudLeakReadOnly \
  --policy-document file://iam/cloudleak-read-policy.json

# Attach to a role (CI/CD)
aws iam attach-role-policy \
  --role-name your-scanner-role \
  --policy-arn arn:aws:iam::<account-id>:policy/CloudLeakReadOnly

# Or attach to a user
aws iam attach-user-policy \
  --user-name your-scanner-user \
  --policy-arn arn:aws:iam::<account-id>:policy/CloudLeakReadOnly

Verify permissions

After attaching, run cloudleak doctor aws to confirm which permissions are active.

Note on pricing

The cloudleak prices update command additionally requires pricing:GetProducts. This is a separate permission from scan permissions. If you only want to run scans using a pre-built prices.json, you do not need to grant pricing:GetProducts to the scanner role.

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Output Formats

Console (default)

Colour-coded by severity, grouped by service. Includes a summary table at the end.

╔══════════════════════════════════════════════════════════════════╗
║  cloudleak  ·  Account: 123456789012  ·  Region: us-east-1      ║
╚══════════════════════════════════════════════════════════════════╝

── EC2 & Compute ──────────────────────────────────────────────────

  🔴 HIGH  EC2-001  Stopped EC2 Instances
     i-0abc123def456789  (m5.2xlarge)  stopped 23 days
     Attached EBS: 200 GB gp3  →  est. waste: $16.00/mo
     └─ Terminate or start. Create AMI first if needed.

── SUMMARY ────────────────────────────────────────────────────────
  Total findings:           34    Est. monthly waste:  $1,847.23
  HIGH: 18   MEDIUM: 12   LOW: 4   Skipped rules: 2

JSON (--export json)

Structured output with scan metadata, summary, findings array, and skipped rules list. Schema defined in PRODUCT_SPEC.md §7.

CSV (--export csv)

Flat table, one row per finding. Columns: rule_id, rule_name, severity, service, resource_id, resource_name, resource_arn, region, estimated_monthly_cost_usd, recommendation, evidence_json.

HTML (--export html)

Self-contained single-file report. No external CDN. Includes summary cards, a bar chart of the top 10 most expensive findings, and a sortable/filterable table.

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All 114 Rules

EC2 & Compute

Rule ID	Name	Severity
EC2-001	Stopped EC2 Instances	HIGH
EC2-002	Idle EC2 Instances (Low CPU)	HIGH
EC2-003	Oversized EC2 Instances (Compute Optimizer)	MEDIUM
EC2-004	On-Demand Candidates for Reserved Instances / Savings Plans	HIGH
EC2-012	Unattached Elastic IPs	HIGH
EC2-013	Detached Network Interfaces (ENIs)	MEDIUM
EC2-014	Idle EC2 Dedicated Hosts	HIGH
EC2-015	Burstable Instance Candidates (Wrong Family)	MEDIUM
EC2-016	Unused EC2 Key Pairs	LOW
EC2-018	Empty Placement Groups	LOW
EC2-019	Unused EC2 Capacity Reservations	HIGH

EBS & Block Storage

Rule ID	Name	Severity
EC2-005	Unattached EBS Volumes	HIGH
EC2-006	Zero-Activity EBS Volumes	HIGH
EC2-007	Oversized EBS Volumes (Compute Optimizer)	MEDIUM
EC2-008	Old EBS Snapshots (No Linked AMI)	MEDIUM
EC2-009	Snapshots from Terminated Instances	HIGH
EC2-010	Old Unused AMIs	MEDIUM
EC2-011	Invalid or Broken AMIs	LOW
EC2-017	Oversized Root Volume vs Instance Needs	MEDIUM
EC2-020	EBS gp2 Volumes Eligible for gp3 Migration	LOW

Load Balancers & Networking

Rule ID	Name	Severity
NET-001	Idle Load Balancers	HIGH
NET-002	Load Balancers with No Healthy Targets	HIGH
NET-003	Empty Target Groups	MEDIUM
NET-004	Idle NAT Gateways	HIGH
NET-005	NAT Gateway with No Route Table References	HIGH
NET-006	VPN Connections with Both Tunnels Down	MEDIUM
NET-007	Idle Transit Gateway Attachments	MEDIUM
NET-008	Idle VPC Interface Endpoints	MEDIUM
NET-009	Unused Customer Gateways	LOW
NET-010	Unused Internet Gateways	LOW
NET-011	Idle Global Accelerators	MEDIUM
NET-012	WAF WebACLs with No Associated Resources	MEDIUM
NET-013	Idle CloudFront Distributions	MEDIUM
NET-015	Direct Connect Virtual Interfaces in Down State	MEDIUM

RDS & Databases

Rule ID	Name	Severity
RDS-001	Idle RDS Instances	HIGH
RDS-002	Stopped RDS Instances	HIGH
RDS-003	Oversized RDS Instances	MEDIUM
RDS-004	Old Manual RDS Snapshots	MEDIUM
RDS-005	RDS Instances Using gp2 Storage	MEDIUM
RDS-006	Idle Aurora Clusters	HIGH
RDS-007	Aurora Serverless v1 Without Auto-Pause (Idle)	HIGH
RDS-008	Idle ElastiCache Clusters	HIGH
RDS-009	Oversized ElastiCache Nodes	MEDIUM
RDS-010	Idle DynamoDB Tables (Provisioned Mode)	MEDIUM
RDS-011	DynamoDB Provisioned Capacity Under-Utilization	MEDIUM
RDS-012	Old Manual Aurora Cluster Snapshots	MEDIUM
RDS-013	Idle DocumentDB Clusters	HIGH
RDS-014	Idle Neptune Clusters	HIGH
RDS-015	Idle MemoryDB for Redis Clusters	HIGH
RDS-016	Idle RDS Proxy Endpoints	MEDIUM

S3 & Storage

Rule ID	Name	Severity
S3-001	S3 Buckets with No Requests	MEDIUM
S3-002	S3 Buckets with No Lifecycle Policy	LOW
S3-003	S3 Buckets with No Storage Tiering Transition	LOW
S3-004	S3 Versioning Enabled Without Version Expiry Rule	LOW
S3-005	S3 Intelligent-Tiering on Predictably-Accessed Buckets	LOW
S3-006	Requester Pays Disabled on Cross-Account Shared Buckets	LOW
S3-007	Empty Glacier Vaults	LOW
S3-008	Idle EFS File Systems	HIGH
S3-009	EFS Over-Provisioned Throughput	MEDIUM
S3-010	Idle FSx File Systems	HIGH

Lambda & Serverless

Rule ID	Name	Severity
LAM-001	Lambda Functions with No Invocations	MEDIUM
LAM-002	Lambda Provisioned Concurrency Underutilized	HIGH
LAM-003	Lambda Functions with Over-Allocated Memory	MEDIUM
LAM-004	API Gateway APIs with No Requests	MEDIUM
LAM-005	API Gateway REST APIs with No Backend Integrations	MEDIUM
LAM-006	Idle Step Functions State Machines	LOW
LAM-007	EventBridge Rules with No Targets	LOW
LAM-008	SQS Queues with No Activity	LOW
LAM-009	Lambda Function URLs with No Traffic	LOW
LAM-010	Idle API Gateway WebSocket APIs	MEDIUM

CloudWatch & Logging

Rule ID	Name	Severity
CW-001	CloudWatch Log Groups Without Retention Policy	LOW
CW-002	CloudWatch Log Groups with Zero Ingestion	LOW
CW-003	CloudWatch Alarms Stuck in INSUFFICIENT_DATA	LOW
CW-004	DynamoDB Contributor Insights Enabled on Idle Tables	MEDIUM
CW-005	X-Ray Sampling Rules for Services with No Traces	LOW
CW-006	CloudWatch Metric Streams with No Active Consumers	MEDIUM

AI/ML Services

Rule ID	Name	Severity
ML-001	SageMaker Endpoints with No Invocations	HIGH
ML-002	SageMaker Notebook Instances Stopped Too Long	MEDIUM
ML-003	SageMaker Studio Apps Running Idle	MEDIUM
ML-004	Stuck SageMaker Training Jobs	HIGH
ML-005	Bedrock Provisioned Throughput with No Invocations	HIGH
ML-006	Amazon Comprehend Endpoints with No Requests	HIGH
ML-007	Rekognition Custom Labels Models Running Idle	HIGH
ML-008	SageMaker Model Packages Unused After 90 Days	LOW
ML-009	Kendra Indexes with No Query Activity	HIGH
ML-010	Lex V2 Bot Aliases with No Conversations	MEDIUM

Containers

Rule ID	Name	Severity
CON-001	ECS Services with Zero Running Tasks	HIGH
CON-002	ECR Repositories with No Recent Image Pulls	LOW
CON-003	Old ECR Images Never Pulled	MEDIUM
CON-004	EKS Clusters with No Active Nodes	HIGH
CON-005	ECS Fargate Services with Low CPU Utilization	MEDIUM
CON-006	App Runner Services with No Requests	HIGH

Security & Identity

Rule ID	Name	Severity
SEC-001	Shield Advanced with No Protected Resources	HIGH
SEC-002	Unused ACM Certificates	LOW
SEC-003	Secrets Manager Secrets Not Accessed	MEDIUM
SEC-004	Unused KMS Customer Managed Keys	MEDIUM
SEC-005	IAM Roles with No Recent Activity	MEDIUM
SEC-007	Macie Enabled with No Classification Jobs	MEDIUM

Tagging & Governance

Rule ID	Name	Severity
GOV-001	Untagged Critical Resources	MEDIUM
GOV-002	CloudFormation Stacks in ROLLBACK_COMPLETE	HIGH
GOV-003	Service Catalog Tainted Provisioned Products	MEDIUM
GOV-004	RDS Instances Without Cost Allocation Tags	LOW

Analytics & Data

Rule ID	Name	Severity
ANA-001	Idle Redshift Clusters	HIGH
ANA-002	Idle OpenSearch / Elasticsearch Domains	HIGH
ANA-003	Glue Development Endpoints Running Idle	HIGH
ANA-004	Idle Kinesis Data Streams	MEDIUM
ANA-005	Idle MSK (Managed Kafka) Clusters	HIGH
ANA-006	EMR Clusters with No Active Steps	HIGH
ANA-007	Glue ETL Jobs Scheduled but Never Successfully Executed	MEDIUM
ANA-008	Redshift Serverless Namespaces with No RPU Activity	MEDIUM

Messaging & Streaming

Rule ID	Name	Severity
MSG-001	Idle Amazon MQ Brokers	HIGH
MSG-002	Firehose Delivery Streams with No Records	MEDIUM

Desktop & Streaming

Severity varies by resource configuration: HIGH for always-on resources, LOW for auto-stop or on-demand resources.

Rule ID	Name	Severity
DSK-001	Amazon WorkSpaces Not Used	HIGH / LOW
DSK-002	AppStream 2.0 Fleets with No Active Sessions	HIGH / LOW

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Contributing

Adding a rule

1. Create a file in src/rules/<group>.py (or add to an existing group file).
2. Implement the Rule protocol: rule_id, name, service, group, severity, description, rationale, permissions, thresholds, and check(ctx) -> list[Finding].
3. Call register(_YourRuleClass()) at the bottom of the rule module — the rule self-registers when the module is imported.
4. Add a decision contract doc to docs/rules/.
5. Write a unit test in tests/unit/ with a mocked AWS response fixture.
6. Run cloudleak rules list to confirm it appears.

Development setup

git clone https://github.com/ragnild/cloudleak
cd cloudleak
pip install -e ".[dev]"
pytest tests/unit/

Principles — always enforce before merging

• No write API calls (Create, Delete, Update, Put, Stop, Modify)
• No hardcoded thresholds — always read from config with a default
• AccessDenied → SKIPPED, never a crash
• No live pricing calls during a scan
• Every Finding has resource_id, resource_arn, evidence, estimated_monthly_cost_usd, recommendation

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License

MIT — see LICENSE.