Amazon Elastic Compute Cloud (EC2) serves as the central infrastructure for AWS, providing virtual machine and container hosting crucial for development and operations. Monitoring EC2 metrics and logs plays a key role in ensuring the optimal selection and size of instances. AWS offers a variety of EC2 instances tailored for different needs, such as computing, memory, accelerated computing, and storage, with recent expansions including the high-performance AWS Graviton processor. To streamline the monitoring process, Amazon has introduced predictive scaling and custom metrics for Auto Scaling, which can be integrated with Logz.io for enhanced observability. Users can configure EC2 metrics shipping to Logz.io using Docker, customizing various parameters and employing YAML configuration files for more advanced setups. Logz.io supports users in shipping EC2 metrics by providing prebuilt configurations for the CloudWatch exporter and detailed instructions for configuring Docker to collect and send metrics, enabling users to visualize them on customizable dashboards.