Amazon Web Services (AWS) log data can be incredibly valuable for gaining insights into the various services that make up an environment, but managing and analyzing this data presents challenges due to the sheer volume of logs generated and the limited capabilities of AWS's native monitoring tools like CloudTrail and CloudWatch. The article outlines a strategy for overcoming these limitations by using Amazon S3 as an endpoint for all AWS logs and ingesting them into the Logz.io cloud-based ELK Stack (Elasticsearch, Logstash, Kibana) for comprehensive analysis and visualization. This approach requires users to configure AWS instances to write access logs to S3, which can then be pulled into Logz.io for further examination. The piece also discusses the importance of enabling access logs for S3 buckets to enhance security audits and access monitoring. Once logs are ingested into the ELK Stack, users can leverage Kibana to query and visualize data, with the option of installing AWS-specific ELK Apps for tailored searches and dashboards. This method allows for more effective log correlation and troubleshooting across different application layers, providing a more complete logging solution than AWS's native tools.