What are some strategies for optimizing monitoring costs in AWS Lambda?
- Enabling detailed monitoring
- Filtering logs by severity
- Increasing log retention periods
- Sending all logs to monitoring services
By filtering logs based on severity levels, you can reduce the volume of data sent to monitoring services like AWS CloudWatch, thus lowering costs associated with log ingestion and storage.
__________ are used to trigger alarms based on predefined thresholds for AWS Lambda metrics.
- CloudFormation
- CloudWatch Alarms
- IAM Roles
- S3 Buckets
CloudWatch Alarms are used to trigger alarms based on predefined thresholds for AWS Lambda metrics.
__________ is a service that provides centralized logging for AWS Lambda functions.
- AWS Lambda Logs
- AWS X-Ray
- Amazon CloudWatch Logs
- Amazon S3
Amazon CloudWatch Logs is a service that provides centralized logging for AWS Lambda functions.
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.
Scenario: A sudden spike in AWS Lambda invocations has been observed, causing unexpected costs. How would you address this issue?
- Add additional Lambda function replicas
- Disable Lambda function triggers
- Implement concurrency limits
- Increase Lambda function timeout
Implementing concurrency limits can control the number of concurrent executions, preventing unexpected spikes in invocations and associated costs.
Scenario: You need to implement centralized logging for multiple AWS Lambda functions. What approach would you take and why?
- Disable logging for Lambda functions
- Implement custom logging solutions
- Use AWS CloudWatch Logs
- Use AWS S3 for logging
Using AWS CloudWatch Logs provides centralized logging for AWS Lambda functions, allowing you to aggregate logs from multiple functions in one place for easy monitoring and analysis.
What are cold start reduction techniques used in AWS Lambda?
- Garbage collection
- Load balancing
- Post-processing
- Pre-warming
Cold start reduction techniques in AWS Lambda include pre-warming, which involves invoking functions periodically to keep them warm and ready for rapid execution.
How do cold start reduction techniques improve the performance of AWS Lambda functions?
- Enable multi-threading
- Implement caching
- Increase memory allocation
- Reduce initialization time
Cold start reduction techniques such as pre-warming reduce the initialization time of AWS Lambda functions by keeping them warm and ready for rapid execution, thereby improving performance.