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AI-Powered Multi-Account AWS Fleet Optimization Platform
Built a centralized AWS operations platform to monitor Auto Scaling Groups across multiple accounts, analyze Spot vs On-Demand usage, surface FinOps opportunities, and generate AI-assisted optimization recommendations.
The Problem:
Managing Auto Scaling Groups across multiple AWS accounts can become messy very quickly. Capacity, scaling behavior, instance mix, utilization, and cost optimization often have to be reviewed account by account. I wanted to build a single operational view that brings fleet visibility, cost intelligence, and reliability insights together.
The Solution:
I designed and built a centralized AWS CloudOps dashboard that collects ASG information across multiple AWS accounts using cross-account IAM roles. The platform provides a single UI for fleet visibility, capacity analysis, Spot and On-Demand comparison, historical trends, and optimization recommendations.
Key Capabilities-
Use this compact section:
-Multi-account AWS Auto Scaling visibility
-Cross-account IAM role integration
-Spot vs On-Demand capacity analysis
-7–30 day fleet trend analytics
-Cost and FinOps insights
-Estimated savings opportunities
-Workload resilience scoring
-CloudWatch metrics integration
-AI-assisted recommendations using Amazon Bedrock
-Centralized authentication and operations dashboard.
Architecture / Tech Stack:
AWS Lambda, STS/IAM, Auto Scaling, EC2, CloudWatch, DynamoDB, API Gateway, Cognito, Amazon Bedrock
Development: Python, React, REST APIs
Focus: DevOps, FinOps, Cloud Operations, AI Automation.
Outcome:
The project demonstrates how DevOps, FinOps, and AI automation can be combined into a single operational platform. Instead of checking AWS accounts individually, infrastructure teams can use one interface to understand fleet health, capacity distribution, optimization opportunities, and recommended actions.
Built as an independent cloud engineering project focused on real-world AWS operations, reliability, FinOps, and AI-assisted automation.
https://lnkd.in/p/gv8HXd23
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