AWS Lambda automatically records function __________ to help identify and troubleshoot issues.
- Events
- Logs
- Metrics
- Snapshots
AWS Lambda automatically records logs to help identify and troubleshoot issues, which can be accessed through Amazon CloudWatch.
__________ can be used in AWS Lambda functions to catch and handle specific types of errors.
- Error metrics
- Event sources
- IAM roles
- Try-catch blocks
Try-catch blocks in programming languages like Python and Node.js can be used within AWS Lambda functions to catch and handle specific types of errors.
By enabling __________ in AWS Lambda, you can ensure that logs are retained for future analysis.
- Auto-scaling
- Environment variables
- Log retention policies
- VPC
Enabling log retention policies in AWS Lambda ensures that logs are retained for a specified period, allowing for future analysis.
AWS CloudTrail can be used to provide a detailed record of API calls made to __________ services.
- AWS
- Google Cloud
- Microsoft Azure
- On-premises
AWS CloudTrail provides a detailed record of API calls made to AWS services, helping with monitoring and compliance.
AWS Lambda function __________ can help identify performance bottlenecks and improve efficiency.
- Monitoring
- Packaging
- Scaling
- Versioning
Monitoring AWS Lambda functions can help identify performance bottlenecks and improve efficiency by providing insights into resource utilization and execution metrics.
AWS CloudWatch __________ allows you to create custom metrics for monitoring specific aspects of AWS Lambda functions.
- Alarms
- Custom namespaces
- Dashboards
- Log groups
AWS CloudWatch custom namespaces allow you to create custom metrics for monitoring specific aspects of AWS Lambda functions, providing detailed insights into performance and behavior.
Scenario: A critical application running on AWS Lambda is experiencing intermittent errors. Outline a plan to investigate and mitigate the issue using AWS monitoring and logging services.
- Configure CloudWatch Alarms to alert on error spikes
- Review CloudWatch Logs for patterns and recurring errors
- Set up CloudWatch Metrics to track invocation errors and throttling rates
- Utilize AWS X-Ray to trace requests and identify bottlenecks
Utilizing AWS X-Ray to trace requests provides a detailed view of how requests are processed, helping to identify and mitigate intermittent errors effectively.
What are some common monitoring tools used in AWS for monitoring Lambda functions?
- AWS CloudTrail
- AWS Config
- AWS X-Ray
- Amazon CloudWatch
Amazon CloudWatch is commonly used for monitoring AWS Lambda functions, offering detailed metrics and logging capabilities.
Why is monitoring important in a serverless architecture?
- To identify performance bottlenecks
- To manage security policies
- To provision resources
- To reduce costs
Monitoring is essential in a serverless architecture to identify performance bottlenecks and ensure applications run smoothly.
What is one way to monitor AWS Lambda function performance?
- Configure VPC
- Enable detailed CloudWatch metrics
- Use IAM roles
- Utilize S3 buckets
Enabling detailed CloudWatch metrics allows for comprehensive monitoring of AWS Lambda function performance, providing critical data on various metrics.