IntelliCloud Project

AI-Powered Cloud Optimization Platform - Detailed Technical Implementation

Core Technologies

Machine Learning with TensorFlow
Kubernetes for Container Orchestration
Terraform for Infrastructure as Code
Prometheus & Grafana for Monitoring
CI/CD with GitHub Actions

65% Cost Reduction

300%

Deployment Frequency

99.95%

Uptime

40%

Infrastructure Cost

System Architecture

Scalable and resilient cloud-native design

AI Optimization Engine

Data Collection

Gather metrics from cloud providers and applications

Processing Pipeline

Transform and prepare data for ML models

ML Models

Predictive analytics for resource optimization

Automation Engine

Implement optimization recommendations

Dashboard & Reporting

Visualize savings and performance metrics

CI/CD Pipeline

Automated deployment process with zero downtime

Code Commit

Developers push code to GitHub repository

Automated Testing

Run unit tests, integration tests, and security scans

Container Build

Build Docker images and push to container registry

Staging Deployment

Deploy to staging environment for validation

Production Rollout

Blue-green deployment to production cluster

Technology Stack

Modern tools and platforms used in the solution

Cloud Infrastructure

AWS

EC2, S3, RDS, Lambda, EKS
Google Cloud

GKE, BigQuery, Cloud Functions
Terraform

Infrastructure as Code

Development & Ops

Docker

Containerization
Kubernetes

Container Orchestration
GitHub Actions

CI/CD Automation