Which solution provides a low-cost option for analyzing logs and creating visualizations with minimal development effort?

Using AWS Glue to crawl logs and store them in Amazon Athena is an effective low-cost option for analyzing logs and creating visualizations with minimal development effort. AWS Glue is a fully managed ETL (Extract, Transform, Load) service that automates the process of data preparation for analytics, making it user-friendly for those who may not want to engage in complex coding or development tasks.

By leveraging AWS Glue, you can easily discover and catalog log data without writing extensive code. The integration with Athena allows you to run SQL queries directly against your logs without the need to define and manage infrastructure, making it a scalable solution. The data can then be visualized using various business intelligence tools that connect to Athena, such as Amazon QuickSight, which can directly draw from your query results.

In contrast, the other options may involve more complexity and higher costs. For instance, creating a Kinesis Data Firehose for Elasticsearch requires setting up streaming data pipelines, which can be more resource-intensive and may demand additional configurations and management. Converting logs to .csv format in AWS Lambda also implies additional development effort, as you'd need to write the Lambda function and manage file outputs. Writing a custom application for data visualization is likely to be the most development-intensive option, requiring