Serverless computing, exemplified by AWS Lambda, offers significant advantages by eliminating the need for server maintenance, but it introduces complexities that necessitate robust monitoring and logging solutions. Effective serverless monitoring solutions must scale with growing applications, integrate logs and metrics from various sources, and operate independently to ensure reliability even if the application fails. Essential practices include streaming logs, auto-subscribing new log groups, and setting log retention policies to manage data efficiently. A scalable logging architecture can be achieved by separating application logic from logging activities, using a log transporter to forward logs to platforms like the ELK stack or Coralogix, which provides a comprehensive view and analysis capabilities. Implementing a monitoring system involves setting up a test application with AWS Lambda, deploying it using the Serverless framework, and ensuring errors are captured and analyzed through logs. Tools like CloudWatch can be used for basic logging, but platforms like Coralogix enhance observability and allow for alert configurations that notify users of specific log events. This approach ensures rapid response to issues and maintains application performance without affecting core functionalities.