I built an AI-powered AWS
Harshil Yogi
I built an AI-powered AWS log investigation system that allows teams to query logs stored in their existing S3 buckets using natural language.
The solution uses AWS Lambda, API Gateway, S3, Bedrock, and Terraform to:
- Convert natural-language questions into structured log searches
- Automatically discover and filter JSON, CSV, JSONL, and compressed log files
- Search across multiple S3 buckets without migrating log data
- Use Bedrock to summarize results and provide actionable insights
- Keep the log-search function private with IAM-based access control
The serverless architecture delivers typical queries in 2–4 seconds at approximately $0.001 per query, while keeping log data within the AWS environment.
Technologies:- AWS Lambda · API Gateway · S3 · AWS Bedrock · Terraform · IAM · Python
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Posted Aug 12, 2026
I built an AI-powered AWS log investigation system that allows teams to query logs stored in their existing S3 buckets using natural language. The solution u...
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