infrastructure-verification

Verify AWS infrastructure configuration before deployment. Use when validating VPC endpoints, NAT Gateway capacity, security groups, or debugging network path issues that cause Lambda connection timeouts.

16 stars

Best use case

infrastructure-verification is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Verify AWS infrastructure configuration before deployment. Use when validating VPC endpoints, NAT Gateway capacity, security groups, or debugging network path issues that cause Lambda connection timeouts.

Teams using infrastructure-verification should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/infrastructure-verification/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/devops/infrastructure-verification/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/infrastructure-verification/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How infrastructure-verification Compares

Feature / Agentinfrastructure-verificationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Verify AWS infrastructure configuration before deployment. Use when validating VPC endpoints, NAT Gateway capacity, security groups, or debugging network path issues that cause Lambda connection timeouts.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Infrastructure Verification Skill

**Tech Stack**: AWS CLI, Terraform, VPC, CloudWatch, bash

**Source**: Extracted from PDF S3 upload timeout investigation (2026-01-05) and Infrastructure-Application Contract principle.

---

## When to Use This Skill

Use the infrastructure-verification skill when:
- ✓ Before deploying Lambda-in-VPC code
- ✓ Investigating Lambda connection timeouts
- ✓ Debugging deterministic failure patterns (first N succeed, last M fail)
- ✓ Validating network path to AWS services (S3, DynamoDB, RDS)
- ✓ After adding VPC endpoints
- ✓ Before concurrent Lambda executions

**DO NOT use this skill for:**
- ✗ Application code debugging (use error-investigation)
- ✗ Performance optimization (different focus)
- ✗ IAM permission issues (use AWS CLI directly)

---

## Core Verification Principles

### Principle 1: Infrastructure Dependency Validation

**From CLAUDE.md Principle #15:**
> "Before deploying code that depends on AWS infrastructure (S3, VPC endpoints, NAT Gateway), verify infrastructure exists and is correctly configured. Network path issues cause deterministic failure patterns."

**When to validate:**
- Before deploying Lambda functions that make AWS service calls
- After Terraform infrastructure changes
- When investigating Lambda timeout patterns
- Before increasing concurrency limits

### Principle 2: Pattern Recognition

**Failure Pattern Types:**

| Pattern | Root Cause | Investigation Priority |
|---------|------------|----------------------|
| **First N succeed, last M fail** | Infrastructure bottleneck (NAT, connection limits) | HIGH - VPC endpoint missing |
| **Random scattered failures** | Performance issue (slow API, memory) | MEDIUM - Optimize code |
| **All operations fail** | Configuration issue (permissions, endpoint) | HIGH - Fix config |
| **Intermittent failures** | Rate limiting, transient network | LOW - Add retries |

**Deterministic pattern** (first N succeed, last M fail) is strongest signal of infrastructure bottleneck.

---

## Verification Workflows

### Workflow 1: VPC Endpoint Verification

**Use when:** Lambda-in-VPC needs to access S3 or DynamoDB

**Steps:**

```bash
# 1. Check if VPC endpoint exists
aws ec2 describe-vpc-endpoints \
  --filters "Name=vpc-id,Values=vpc-xxx" \
            "Name=service-name,Values=com.amazonaws.ap-southeast-1.s3" \
  --query 'VpcEndpoints[*].{ID:VpcEndpointId,State:State,Service:ServiceName}' \
  --output table

# Expected output (if endpoint exists):
# -----------------------------------------
# | DescribeVpcEndpoints                  |
# +-------+-------+------------------------+
# | ID    | State | Service                |
# +-------+-------+------------------------+
# | vpce-xxx | available | com.amazonaws.ap-southeast-1.s3 |
# +-------+-------+------------------------+

# If empty → No S3 VPC Endpoint (traffic goes through NAT Gateway)

# 2. Verify endpoint state
aws ec2 describe-vpc-endpoints \
  --vpc-endpoint-ids vpce-xxx \
  --query 'VpcEndpoints[0].State' \
  --output text

# Expected: "available"
# If "pending" → Wait for creation
# If "failed" → Check Terraform logs

# 3. Verify route table attachment
aws ec2 describe-vpc-endpoints \
  --vpc-endpoint-ids vpce-xxx \
  --query 'VpcEndpoints[0].RouteTableIds' \
  --output table

# Expected: List of route table IDs (must include Lambda subnet route tables)

# 4. Check Lambda subnet route tables
aws lambda get-function-configuration \
  --function-name my-function \
  --query 'VpcConfig.SubnetIds' \
  --output text | xargs -I {} aws ec2 describe-subnets --subnet-ids {}

# Compare: Lambda subnets' route tables should be in VPC endpoint's RouteTableIds

# 5. Verify S3 prefix list in route tables
ROUTE_TABLE_ID=$(aws ec2 describe-route-tables \
  --filters "Name=vpc-id,Values=vpc-xxx" \
  --query 'RouteTables[0].RouteTableId' \
  --output text)

aws ec2 describe-route-tables \
  --route-table-ids $ROUTE_TABLE_ID \
  --query 'RouteTables[*].Routes[?GatewayId==`vpce-xxx`]'

# Expected: Route with DestinationPrefixListId (S3 prefix list)
```

**Verification checklist:**
- [ ] VPC endpoint exists (`describe-vpc-endpoints` returns result)
- [ ] State is "available" (not "pending" or "failed")
- [ ] Route tables attached (includes Lambda subnet route tables)
- [ ] S3 prefix list routes created (check route tables)

**Common issues:**
- Missing VPC endpoint → Create with Terraform
- State "pending" → Wait 2-3 minutes
- Route tables not attached → Update Terraform `route_table_ids`
- Lambda subnets not covered → Verify subnet route table IDs

### Workflow 2: NAT Gateway Diagnosis

**Use when:** Investigating Lambda connection timeouts with external services

**Steps:**

```bash
# 1. Check NAT Gateway exists
aws ec2 describe-nat-gateways \
  --filter "Name=vpc-id,Values=vpc-xxx" \
  --query 'NatGateways[*].{ID:NatGatewayId,State:State,PublicIp:NatGatewayAddresses[0].PublicIp}' \
  --output table

# Expected: State "available"

# 2. Check route tables using NAT Gateway
aws ec2 describe-route-tables \
  --filters "Name=vpc-id,Values=vpc-xxx" \
  --query 'RouteTables[*].Routes[?NatGatewayId!=`null`].[RouteTableId,DestinationCidrBlock,NatGatewayId]' \
  --output table

# Expected: Route 0.0.0.0/0 → nat-xxx (default route through NAT)

# 3. Analyze connection saturation pattern
# Run this during concurrent Lambda executions
aws logs filter-log-events \
  --log-group-name /aws/lambda/my-function \
  --start-time $(date -d '5 minutes ago' +%s)000 \
  --filter-pattern "START RequestId" \
  --query 'events[*].timestamp' \
  --output text | xargs -n1 date -d @

# Check execution pattern:
# - All start within 1 second → Concurrent execution
# - Some timeout after 600s → NAT Gateway saturation

# 4. Check for connection timeout errors
aws logs filter-log-events \
  --log-group-name /aws/lambda/my-function \
  --filter-pattern "ConnectTimeoutError" \
  --query 'events[*].message' \
  --output text

# If errors found → NAT Gateway connection limit reached

# 5. Calculate concurrent connection demand
CONCURRENT_LAMBDAS=$(aws logs filter-log-events \
  --log-group-name /aws/lambda/my-function \
  --start-time $(date -d '1 minute ago' +%s)000 \
  --filter-pattern "START RequestId" \
  --query 'length(events)' \
  --output text)

echo "Concurrent Lambdas: $CONCURRENT_LAMBDAS"
echo "NAT Gateway connection limit: ~55,000 (but establishment rate limited)"
```

**NAT Gateway saturation indicators:**
- ✅ Deterministic pattern (first N succeed, last M fail)
- ✅ ConnectTimeoutError in logs
- ✅ Long execution times (600s = boto3 default timeout)
- ✅ Timeline shows concurrent starts → split success/failure

**Solution:** Add VPC Gateway Endpoint for S3/DynamoDB to bypass NAT

### Workflow 3: Network Path Validation

**Use when:** Verifying Lambda can reach AWS services

**Steps:**

```bash
# 1. Identify Lambda VPC configuration
aws lambda get-function-configuration \
  --function-name my-function \
  --query 'VpcConfig.{VpcId:VpcId,SubnetIds:SubnetIds,SecurityGroupIds:SecurityGroupIds}' \
  --output json

# Save VPC ID, Subnet IDs, Security Group IDs

# 2. Check security group egress rules
aws ec2 describe-security-groups \
  --group-ids sg-xxx \
  --query 'SecurityGroups[*].IpPermissionsEgress[*].{Proto:IpProtocol,Port:FromPort,Dest:IpRanges[0].CidrIp}' \
  --output table

# Expected: 0.0.0.0/0 allowed (all egress)
# If restricted → Add rule for destination service

# 3. Check route table for Lambda subnet
SUBNET_ID=$(aws lambda get-function-configuration \
  --function-name my-function \
  --query 'VpcConfig.SubnetIds[0]' \
  --output text)

ROUTE_TABLE_ID=$(aws ec2 describe-route-tables \
  --filters "Name=association.subnet-id,Values=$SUBNET_ID" \
  --query 'RouteTables[0].RouteTableId' \
  --output text)

aws ec2 describe-route-tables \
  --route-table-ids $ROUTE_TABLE_ID \
  --query 'RouteTables[*].Routes[*].[DestinationCidrBlock,GatewayId,NatGatewayId]' \
  --output table

# Expected routes:
# - local → vpc-xxx (VPC internal)
# - 0.0.0.0/0 → nat-xxx (internet via NAT) OR vpce-xxx (S3 via endpoint)

# 4. Test actual network path (requires test Lambda invocation)
# Deploy temporary test Lambda:
# - Attempts connection to S3
# - Logs connection details
# - Reports success/failure

# 5. Analyze test results
aws logs tail /aws/lambda/network-test --since 1m

# Look for:
# - Connection established (success)
# - Connection timeout (NAT saturated)
# - Connection refused (security group blocked)
# - DNS resolution failure (VPC DNS issue)
```

**Network path checklist:**
- [ ] Lambda in VPC (`VpcConfig` not empty)
- [ ] Security group allows egress to destination
- [ ] Route table has path to destination (NAT or VPC endpoint)
- [ ] VPC endpoint exists for AWS service (S3, DynamoDB)
- [ ] Test invocation confirms connectivity

### Workflow 4: Post-Deployment Infrastructure Validation

**Use when:** After deploying infrastructure changes (VPC endpoints, security groups)

**Steps:**

```bash
# 1. Verify Terraform outputs
cd terraform
terraform output s3_vpc_endpoint_id        # Should return vpce-xxx
terraform output s3_vpc_endpoint_state     # Should return "available"

# 2. Run smoke test Lambda invocation
aws lambda invoke \
  --function-name my-function \
  --payload '{"test": true}' \
  /tmp/response.json

# Check response
cat /tmp/response.json | jq .

# 3. Verify CloudWatch logs show success
aws logs tail /aws/lambda/my-function --since 1m --follow

# Expected:
# - No ConnectTimeoutError
# - Operation completes in expected time (2-3s not 600s)
# - Success message logged

# 4. Test concurrent execution (simulate production load)
for i in {1..10}; do
  aws lambda invoke \
    --function-name my-function \
    --payload "{\"id\": $i}" \
    --invocation-type Event \
    /tmp/response_$i.json &
done
wait

# 5. Analyze concurrent execution results
aws logs filter-log-events \
  --log-group-name /aws/lambda/my-function \
  --start-time $(date -d '5 minutes ago' +%s)000 \
  --filter-pattern "ConnectTimeoutError" \
  --query 'length(events)' \
  --output text

# Expected: 0 (no timeout errors)
# If > 0 → Infrastructure issue still exists

# 6. Verify 100% success rate
aws logs filter-log-events \
  --log-group-name /aws/lambda/my-function \
  --start-time $(date -d '5 minutes ago' +%s)000 \
  --filter-pattern "✅" \
  --query 'length(events)' \
  --output text

# Expected: 10 (all concurrent executions succeeded)
```

**Post-deployment checklist:**
- [ ] Terraform outputs confirm resource created
- [ ] Smoke test invocation succeeds
- [ ] CloudWatch logs show no errors
- [ ] Concurrent execution test (10+ invocations)
- [ ] 100% success rate (no timeouts)
- [ ] Execution time within expected range (2-3s not 600s)

---

## Common Infrastructure Issues

### Issue 1: Missing S3 VPC Endpoint

**Symptom:**
- Lambda timeout after 600s
- Error: `ConnectTimeoutError: Connect timeout on endpoint URL: "https://bucket.s3.region.amazonaws.com/..."`
- Pattern: First N concurrent operations succeed, last M timeout

**Diagnosis:**

```bash
# Check for S3 VPC endpoint
aws ec2 describe-vpc-endpoints \
  --filters "Name=vpc-id,Values=vpc-xxx" \
            "Name=service-name,Values=com.amazonaws.region.s3"

# If empty → No endpoint (S3 traffic goes through NAT)
```

**Fix:**

```hcl
# terraform/s3_vpc_endpoint.tf
data "aws_route_tables" "vpc_route_tables" {
  vpc_id = data.aws_vpc.default.id
}

resource "aws_vpc_endpoint" "s3" {
  vpc_id            = data.aws_vpc.default.id
  service_name      = "com.amazonaws.${var.aws_region}.s3"
  vpc_endpoint_type = "Gateway"

  route_table_ids = data.aws_route_tables.vpc_route_tables.ids

  policy = jsonencode({
    Version = "2012-10-17"
    Statement = [{
      Effect    = "Allow"
      Principal = "*"
      Action    = "s3:*"
      Resource  = "*"
    }]
  })

  tags = {
    Name = "s3-endpoint"
  }
}

output "s3_vpc_endpoint_id" {
  value = aws_vpc_endpoint.s3.id
}

output "s3_vpc_endpoint_state" {
  value = aws_vpc_endpoint.s3.state
}
```

**Verification:**

```bash
cd terraform
terraform apply
terraform output s3_vpc_endpoint_state  # Should be "available"

# Test Lambda invocation
aws lambda invoke --function-name my-function --payload '{}' /tmp/response.json
aws logs tail /aws/lambda/my-function --since 1m
# Expected: No timeout, completes in 2-3s
```

### Issue 2: NAT Gateway Connection Saturation

**Symptom:**
- Deterministic failure pattern (first 5 succeed, last 5 timeout)
- All timeouts occur after ~10 minutes (boto3 default + retries)
- Timeline analysis shows concurrent Lambda starts

**Diagnosis:**

```bash
# Check timeline of Lambda executions
aws logs filter-log-events \
  --log-group-name /aws/lambda/my-function \
  --start-time $(date -d '30 minutes ago' +%s)000 \
  --filter-pattern "START RequestId" \
  | jq -r '.events[] | .timestamp as $ts | ($ts/1000 | strftime("%H:%M:%S")) + " " + (.message | split(" ")[2])'

# Look for:
# - All start within 1 second (concurrent)
# - Check which RequestIds have errors
aws logs filter-log-events \
  --log-group-name /aws/lambda/my-function \
  --filter-pattern "ConnectTimeoutError" \
  | jq -r '.events[].message' | grep -o "RequestId: [a-z0-9-]*"

# Pattern: Last N RequestIds consistently fail
```

**Root Cause:**
- NAT Gateway has limited connection establishment rate
- Concurrent Lambdas try to establish S3 connections simultaneously
- First N connections succeed → Upload completes in 2-3s
- Last M connections queued → Eventually timeout after 600s

**Fix:** Add S3 VPC Gateway Endpoint (see Issue 1)

**Why this works:**
- VPC Gateway Endpoint bypasses NAT Gateway
- S3 traffic routed directly within AWS network
- No connection establishment limits
- Free (Gateway endpoints have no hourly charge)

### Issue 3: Security Group Blocking Egress

**Symptom:**
- Lambda unable to connect to AWS service
- Error: Connection refused or timeout
- All invocations fail (not deterministic pattern)

**Diagnosis:**

```bash
# Check security group egress rules
aws lambda get-function-configuration \
  --function-name my-function \
  --query 'VpcConfig.SecurityGroupIds[0]' \
  --output text | xargs -I {} aws ec2 describe-security-groups --group-ids {}

# Look for egress rules allowing HTTPS (port 443)
# Expected: 0.0.0.0/0 or specific AWS service prefix list
```

**Fix:**

```hcl
# terraform/security_groups.tf
resource "aws_security_group_rule" "lambda_egress_https" {
  type              = "egress"
  from_port         = 443
  to_port           = 443
  protocol          = "tcp"
  cidr_blocks       = ["0.0.0.0/0"]
  security_group_id = aws_security_group.lambda.id
}
```

### Issue 4: Route Table Not Attached to VPC Endpoint

**Symptom:**
- VPC endpoint exists and is "available"
- Lambda still times out connecting to S3
- Deterministic or random failures

**Diagnosis:**

```bash
# Check VPC endpoint route table attachment
aws ec2 describe-vpc-endpoints \
  --vpc-endpoint-ids vpce-xxx \
  --query 'VpcEndpoints[0].RouteTableIds' \
  --output table

# Get Lambda subnet route table
aws lambda get-function-configuration \
  --function-name my-function \
  --query 'VpcConfig.SubnetIds[0]' \
  --output text | xargs -I {} aws ec2 describe-route-tables \
  --filters "Name=association.subnet-id,Values={}" \
  --query 'RouteTables[0].RouteTableId' \
  --output text

# Compare: Lambda's route table should be in endpoint's RouteTableIds
```

**Fix:**

```hcl
# terraform/s3_vpc_endpoint.tf
data "aws_route_tables" "vpc_route_tables" {
  vpc_id = data.aws_vpc.default.id
}

resource "aws_vpc_endpoint" "s3" {
  # ... other config ...

  # Attach to ALL route tables (includes Lambda subnets)
  route_table_ids = data.aws_route_tables.vpc_route_tables.ids
}
```

---

## Integration with Other Skills

### With error-investigation
- Use infrastructure-verification BEFORE error-investigation when:
  - Investigating Lambda timeout patterns
  - Debugging connection failures
  - Analyzing deterministic failure patterns
- Use error-investigation AFTER infrastructure-verification when:
  - Infrastructure confirmed correct but errors persist
  - Need to analyze application logs
  - Debugging business logic failures

### With deployment skill
- Use infrastructure-verification:
  - BEFORE deploying Lambda-in-VPC code
  - AFTER deploying infrastructure changes (Terraform apply)
  - During post-deployment validation
- Complements deployment smoke tests with infrastructure-specific checks

### With testing-workflow
- Infrastructure verification is a form of pre-deployment testing
- Validates infrastructure-application contract (CLAUDE.md Principle #15)
- Catches configuration issues before code deployment

---

## Quick Reference

### VPC Endpoint Types

| Type | Services | Cost | Use Case |
|------|----------|------|----------|
| **Gateway** | S3, DynamoDB | FREE | High-throughput data access |
| **Interface** | Most AWS services | ~$7.50/month | Other services (Secrets Manager, etc.) |

### NAT Gateway Limits

| Limit | Value | Impact |
|-------|-------|--------|
| **Concurrent connections** | 55,000 | Theoretical max |
| **Connection establishment rate** | Limited | Causes saturation with concurrent Lambdas |
| **Data transfer cost** | $0.045/GB | Expensive for large transfers |

**Recommendation:** Use VPC Gateway Endpoints for S3/DynamoDB (free, unlimited, faster)

### Common AWS CLI Commands

```bash
# VPC endpoint
aws ec2 describe-vpc-endpoints --vpc-endpoint-ids vpce-xxx

# NAT Gateway
aws ec2 describe-nat-gateways --nat-gateway-ids nat-xxx

# Security groups
aws ec2 describe-security-groups --group-ids sg-xxx

# Route tables
aws ec2 describe-route-tables --route-table-ids rtb-xxx

# Lambda VPC config
aws lambda get-function-configuration --function-name my-function --query 'VpcConfig'
```

---

## File Organization

```
.claude/skills/infrastructure-verification/
└── SKILL.md              # This file (complete skill)
```

---

## References

- [VPC Endpoints](https://docs.aws.amazon.com/vpc/latest/privatelink/vpc-endpoints.html)
- [NAT Gateway](https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-gateway.html)
- [Lambda VPC Configuration](https://docs.aws.amazon.com/lambda/latest/dg/configuration-vpc.html)
- [Bug Hunt Report](../../bug-hunts/2026-01-05-pdf-s3-upload-timeout.md) - Real-world investigation
- CLAUDE.md Principle #15 (Infrastructure-Application Contract)
- CLAUDE.md Principle #2 (Progressive Evidence Strengthening)

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