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Monitoring your cloud expenses is critical, especially when unexpected spikes occur. AWS provides tools like Cost Anomaly Detection and Cost Explorer to help track and manage billing issues proactively.
In the example discussed, CloudFront costs surged due to large image files being mistakenly distributed. The article by Kavindu Vindika explains how they identified and resolved the issue using Lambda@Edge to optimize file delivery and reduce expenses.
🔗 Read the full article here: Saving your AWS Cloudfront Cost
You Should Know: AWS Cost Optimization Techniques
1. Enable AWS Cost Anomaly Detection
AWS Cost Anomaly Detection uses machine learning to identify unusual spending patterns.
Steps to enable it:
1. Open AWS Cost Management Console.
2. Navigate to Cost Anomaly Detection.
- Click “Create Monitor” and define your spending segments.
- Set up alerts via Amazon SNS to get notified of anomalies.
AWS CLI Command to check anomalies:
aws ce get-anomaly-monitors
- Use AWS Cost Explorer for Detailed Analysis
AWS Cost Explorer helps visualize and analyze costs over time.
Command to generate a cost report:
aws ce get-cost-and-usage \ --time-period Start=2024-01-01,End=2024-01-31 \ --granularity MONTHLY \ --metrics "BlendedCost" "UnblendedCost" "UsageQuantity"
3. Implement Lambda@Edge for CloudFront Optimization
Lambda@Edge allows you to modify requests/responses at CloudFront edge locations.
Example Lambda function to block large files:
exports.handler = async (event) => {
const request = event.Records[bash].cf.request;
const headers = request.headers;
// Check file size before processing
if (headers['content-length'] && headers['content-length'][bash].value > 10485760) { // 10MB limit
return {
status: '403',
statusDescription: 'Forbidden',
body: 'File size too large.'
};
}
return request;
};
4. Set Up Billing Alarms
Use Amazon CloudWatch to create billing alarms.
AWS CLI command to set a billing alarm:
aws cloudwatch put-metric-alarm \ --alarm-name "HighAWSBill" \ --metric-name "EstimatedCharges" \ --namespace "AWS/Billing" \ --statistic "Maximum" \ --period 21600 \ --evaluation-periods 1 \ --threshold 100 \ --comparison-operator "GreaterThanThreshold" \ --alarm-actions "arn:aws:sns:us-east-1:123456789012:MyBillingAlarm"
What Undercode Say
Managing AWS costs requires proactive monitoring and automation. Key takeaways:
– Use Cost Anomaly Detection to catch unexpected expenses early.
– Leverage Lambda@Edge to optimize CloudFront delivery.
– Set billing alerts to avoid surprises.
– Regularly audit S3 and CloudFront configurations to prevent misconfigurations.
Additional Linux/Windows Commands for Cost Monitoring:
Check AWS S3 bucket sizes (Linux)
aws s3 ls --summarize --human-readable --recursive s3://your-bucket
Analyze log files for large requests (Linux)
awk '{print $9, $10}' access.log | sort -nr | head -20
Windows PowerShell command to check network traffic
Get-NetTCPConnection | Where-Object { $_.State -eq "Established" } | Measure-Object
Expected Output:
A well-optimized AWS environment with controlled CloudFront costs, automated anomaly detection, and proactive billing alerts.
🔗 Relevant URL: AWS Cost Management
References:
Reported By: Darryl Ruggles – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
