In serverless environments, logging is crucial for monitoring and troubleshooting applications, as developers lack direct infrastructure access and must rely on logs from AWS services like Lambda, API Gateway, DynamoDB, and Step Functions. The text emphasizes the importance of standardizing log formats, setting appropriate log levels, and including useful context to maximize log value. Centralizing logs with tools like Datadog facilitates sophisticated analysis and correlation with other monitoring data, enabling efficient issue identification. Additionally, controlling logging costs is vital as logs can be retained indefinitely in CloudWatch Logs, and Datadog's Logging without Limits™ offers cost-effective solutions by allowing dynamic indexing decisions and turning logs into metrics. The article encourages using these best practices to achieve deep visibility into serverless applications and suggests Datadog for integrating and analyzing logs comprehensively.