How do you configure custom event sources to trigger AWS Lambda functions?
- By configuring IAM roles
- By creating event source mappings
- By directly invoking the function
- By setting up AWS CloudWatch alarms
Custom event sources are configured to trigger AWS Lambda functions by creating event source mappings, which link a specific event source to a Lambda function, allowing it to trigger in response to events from that source.
In what ways can you use CloudWatch Metrics to detect anomalies or performance issues in your AWS infrastructure?
- Compare historical data
- Manually inspect metric data
- Set anomaly detection alarms
- Utilize machine learning insights
CloudWatch anomaly detection allows you to set alarms based on statistical anomalies in metric data, enabling proactive detection of performance issues or unusual behavior in your AWS infrastructure.
CloudWatch Metrics are automatically collected and stored for AWS __________.
- Instances
- Regions
- Services
- Users
CloudWatch Metrics are automatically collected and stored for various AWS services, providing insights into their performance and behavior.
CloudWatch Alarms can be configured to trigger actions based on defined __________ thresholds.
- Event
- Instance
- Metric
- Region
CloudWatch Alarms can be configured to trigger actions based on defined metric thresholds, allowing you to respond to performance or availability issues.
__________ is a feature of CloudWatch Metrics that allows you to visualize and analyze metric data over time.
- Alarm
- Dashboard
- Event
- Log
Dashboards in CloudWatch Metrics allow you to visualize and analyze metric data over time, providing insights into system performance and trends.
What type of data do CloudWatch Metrics collect?
- Binary data representing configurations
- Numerical data representing the performance of AWS resources
- Text-based logs
- Video recordings of system activity
CloudWatch Metrics collect numerical data representing the performance of AWS resources, enabling monitoring and analysis of system behavior over time.
How can you set up custom CloudWatch Metrics?
- Manually write code within your Lambda functions
- Only through AWS CloudFormation
- Use the AWS Management Console, AWS CLI, or AWS SDKs
- Use third-party monitoring tools
You can set up custom CloudWatch Metrics using the AWS Management Console, AWS CLI, or AWS SDKs by defining the metric namespace, dimensions, and values to be published.
What is the significance of CloudWatch Alarms in relation to CloudWatch Metrics?
- CloudWatch Alarms collect metric data
- CloudWatch Alarms store metric data
- CloudWatch Alarms trigger actions based on metric thresholds
- CloudWatch Alarms visualize metric data
CloudWatch Alarms are configured to monitor specific CloudWatch Metrics and trigger actions, such as sending notifications or invoking AWS Lambda functions, when predefined thresholds are crossed.
How can you visualize CloudWatch Metrics for monitoring purposes?
- API/CLI
- AWS Management Console
- CloudWatch Console
- Third-party tools
The CloudWatch console provides a user-friendly interface to visualize CloudWatch metrics, allowing you to create custom dashboards and set up alarms for monitoring purposes.
What are some best practices for managing and optimizing CloudWatch Metrics?
- Periodically review and adjust retention settings
- Set meaningful alarms
- Use high-resolution metrics cautiously
- Utilize metric math expressions
Setting meaningful alarms based on relevant thresholds, using high-resolution metrics cautiously, periodically reviewing and adjusting retention settings, and utilizing metric math expressions are some best practices for managing and optimizing CloudWatch Metrics.