Blogs Posted

During my participation in the FCAJ program, I completed and published three technical blog posts on the AWS Study Group community to share knowledge and practical experience:

• Blog 1 - Automating Recommendation Engine Training with Amazon Personalize and AWS Glue: This blog introduces a serverless architecture to automate data ingestion and training for a recommendation system. It details using AWS Glue to crawl, clean, and consolidate data from different sources into S3, and then using Amazon Personalize to automatically train recommendation models.
• Blog 2 - Analyzing the Attack Flow Logs Feature in AWS Shield Advanced: This blog introduces and analyzes the new Attack Flow Logs feature in AWS Shield Advanced. It explains how to capture detailed metadata of DDoS attack traffic (IPs, ports, countries, mitigation actions) and configure a log delivery pipeline to S3/CloudWatch for security analysis.
• Blog 3 - Optimizing LLM Inference on Amazon SageMaker AI with BentoML LLM Optimizer: This blog details a workflow to optimize deployment costs and inference performance for open-source Large Language Models (LLMs). It demonstrates utilizing the BentoML LLM Optimizer on Amazon SageMaker AI to run automated load-testing and find the best AWS instance type and quantization configurations.