CloudWatch Logs for AWS Lambda: Getting Insights About Your Serverless Deployment

AWS CloudWatch Logs is a powerful tool for monitoring AWS Lambda functions, but it can be tricky to use effectively. To get the most out of CloudWatch Logs, you need to understand how it works, including how logs are organized into log groups and streams, and how pricing and limitations apply. One key feature is subscription filters, which allow you to send serverless logs to Amazon Kinesis for better performance and easier management at scale. Another important feature is metric filters, which enable you to define custom metrics, such as latency of a Lambda function. CloudWatch Logs Insights also provides a SQL-like query capability, allowing you to analyze log messages using ad-hoc queries. However, there are limitations to these features, including the inability to query logs across multiple log groups and the lack of support for querying logs from multiple AWS accounts. To get the most out of CloudWatch Logs, it's essential to adopt good logging practices, such as writing structured logs, sampling debug logs in production, and using tools like dazn-lambda-powertools to simplify logging and correlation.

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