What are Serverless Metrics and Logs?
Serverless metrics and logs are essential components of the serverless computing paradigm, providing insights into the performance, reliability, and health of serverless applications. Unlike traditional architectures, serverless computing abstracts away server management, enabling developers to focus on code rather than infrastructure. However, this makes tracking the application’s behavior even more critical.
Metrics
Metrics in a serverless environment are quantitative measurements that provide data on various aspects of the application’s performance. Key metrics include:
- Invocation Count: The number of times a function is triggered.
- Duration: The time taken for a function to execute.
- Error Rate: The percentage of failed invocations compared to total invocations.
- Cold Start Time: The delay experienced when a function is triggered for the first time after a period of inactivity.
Logs
Logs provide a detailed record of the application’s behavior during executions. They can include:
- Execution Logs: Information about the function's execution, including inputs and outputs.
- Error Logs: Detailed error messages that can assist in debugging.
- Custom Logs: Logs added by developers that provide context-specific information relevant to the application.
Together, serverless metrics and logs enable developers to monitor performance, troubleshoot issues, and optimize their applications effectively in a scalable environment.