Skip to main content

​
AWS CloudFront Integration - Coming Soon

We’re developing comprehensive AI Traffic Analytics integration with AWS CloudFront to provide enterprise-scale monitoring of AI agent interactions with your content delivery network.
This integration will be perfect for high-traffic websites, enterprise applications, and global content distribution networks that need detailed AI crawl analytics.

​
What’s Coming

Our AWS CloudFront integration will provide:

Real-Time Log Analysis

Process CloudFront access logs in real-time to identify AI agent traffic patterns across global edge locations.

Geographic AI Insights

Track AI agent behavior by region and optimize content delivery for different AI platforms globally.

Edge Performance Monitoring

Monitor how AI agents interact with your cached content and identify optimization opportunities.

Enterprise-Scale Analytics

Handle high-volume AI traffic analysis with AWS infrastructure integration.

​
Planned Features

​
Advanced AI Traffic Monitoring

CDN-Level Insights: Track AI agent behavior across your entire content delivery network with millisecond precision.
Cache Performance Analysis: See how AI agents interact with cached vs. origin content and optimize accordingly.
Global AI Agent Patterns: Identify geographic variations in AI crawl behavior and content preferences.

​
Integration Capabilities

The CloudFront integration will support:
  • AWS CloudWatch Integration: Native dashboards and alerting
  • S3 Access Log Processing: Automated log analysis pipeline
  • Lambda Function Triggers: Real-time AI agent detection
  • API Gateway Integration: RESTful data access
  • CloudFormation Templates: One-click deployment
  • CloudFront: All distribution types and configurations
  • S3: Access logs and real-time logging
  • CloudWatch: Custom metrics and dashboards
  • Lambda: Serverless log processing
  • Kinesis: Real-time data streaming
  • Elasticsearch: Advanced log search and analysis
Enhanced detection for enterprise environments:
  • Custom user-agent pattern matching
  • Behavioral analysis beyond user-agent strings
  • IP-based AI service identification
  • Request pattern recognition
  • Bot vs. legitimate AI agent classification
Enterprise-grade security features:
  • GDPR-compliant data processing
  • SOC 2 certified infrastructure
  • Custom data retention policies
  • Encryption in transit and at rest
  • Role-based access controls

​
Prerequisites (When Available)

To prepare for the CloudFront integration, ensure you have:
  • AWS account with CloudFront distributions
  • CloudFront access logging enabled
  • S3 bucket for log storage configured
  • IAM roles with appropriate permissions
  • GrowthOS Enterprise account

​
Implementation Timeline

1

Q3 2025 - Beta Release

Limited beta for select enterprise customers with basic log processing capabilities.
2

Q3 2024 - Public Launch

Full public release with complete feature set and documentation.
3

Q4 2024 - Advanced Features

Machine learning-powered AI agent behavior prediction and advanced analytics.

​
Get Early Access

Join Beta Program

Sign up for early access to the CloudFront integration beta program and help shape the final product.

​
Beta Program Benefits

  • Early Access: Be among the first to use CloudFront AI analytics
  • Direct Feedback: Influence feature development with your requirements
  • Priority Support: Dedicated support during beta testing
  • Volume Discounts: Special pricing for beta participants

​
Alternative Solutions

While you wait for CloudFront integration, consider these alternatives:

Custom Integration

Our team can build a custom solution for your AWS infrastructure needs.

Vercel Integration

If you’re using Vercel with CloudFront, start with our Vercel integration.

​
Technical Preview

Here’s what the CloudFront integration configuration will look like: 
AWSTemplateFormatVersion: '2010-09-09'
Resources:
  GrowthOSAnalyticsRole:
    Type: AWS::IAM::Role
    Properties:
      AssumeRolePolicyDocument:
        Version: '2012-10-17'
        Statement:
          - Effect: Allow
            Principal:
              Service: lambda.amazonaws.com
            Action: sts:AssumeRole
      
  LogProcessingFunction:
    Type: AWS::Lambda::Function
    Properties:
      Runtime: python3.9
      Handler: index.process_cloudfront_logs
      Code:
        ZipFile: |
          import json
          import boto3
          
          def process_cloudfront_logs(event, context):
              # AI agent detection logic
              # Real-time processing
              # GrowthOS API integration
              return {'statusCode': 200}

​
Stay Updated

Subscribe to Updates

Get notified when the AWS CloudFront integration becomes available.
Have specific AWS CloudFront requirements? Contact our enterprise team to discuss custom solutions and early access opportunities.
⌘I