AI-Driven Cloud Infrastructure Monitor

Automated deployment of a serverless monitoring system using CloudFormation (IaC). Configured AWS Lambda functions to process CloudWatch metrics with AI-based log analysis.

AWS Lambda
CloudFormation
CloudWatch
SNS
Python
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Project Overview

An intelligent infrastructure monitoring solution that combines traditional CloudWatch metrics with AI-driven analysis to provide predictive insights into system health. The system uses Infrastructure as Code principles for reproducible deployments and implements serverless architecture for cost-effective operations.

Key Features & Achievements
  • Automated deployment of a serverless monitoring system using CloudFormation (IaC).
  • Configured AWS Lambda functions to process CloudWatch metrics and send alerts via SNS.
  • Integrated AI-based log analysis for predictive insights into infrastructure health.
  • Enabled one-command reproducible deployments to showcase operational excellence.
Technical Architecture

infrastructure

CloudFormation templates for Infrastructure as Code

compute

AWS Lambda for serverless processing

monitoring

CloudWatch for metrics collection and analysis

notifications

SNS for alert distribution

ai

Python-based machine learning for predictive analytics

deployment

Automated CloudFormation stack deployment

Technical Challenges
  • Designing serverless architecture for real-time metric processing
  • Implementing AI algorithms for predictive infrastructure analysis
  • Creating comprehensive Infrastructure as Code templates
  • Optimizing Lambda function performance and cost efficiency
Explore the Code