This blog post by Ido Halevi outlines a method for shipping and analyzing AWS Cost and Usage reports using AWS Lambda and Logz.io’s ELK Stack. It provides a step-by-step guide on setting up a pipeline with a Lambda shipper to process the reports, which are CSV files delivered to an S3 bucket and updated up to three times daily. These reports help track AWS service usage and costs, though their size can make them challenging to analyze. The post details the process of enabling reports in an AWS account, including creating an S3 bucket, setting permissions, and configuring report settings. It also describes creating a Lambda function to ship data to Logz.io, with specific instructions for setting triggers and permissions, aiming to facilitate cost optimization and monitoring through Kibana queries and visualizations.