What are the best practices for monitoring and logging custom event sources in AWS Lambda?
- Disable logging to reduce overhead
- Manual logging in function code
- Use third-party logging services
- Utilize CloudWatch Metrics and Logs
Best practices for monitoring and logging custom event sources in AWS Lambda include utilizing CloudWatch Metrics and Logs to track function invocations, errors, and performance metrics.
Custom event sources enable AWS Lambda functions to respond to __________.
- Built-in events
- Custom events
- System events
- Third-party events
Custom event sources enable AWS Lambda functions to respond to custom events, allowing for integration with various services and applications.
When configuring custom event sources, it's essential to define the appropriate __________ for event processing.
- Event mapping
- Execution environment
- Permissions
- Timeout settings
Defining the appropriate event mapping is crucial when configuring custom event sources in AWS Lambda to ensure that events are correctly processed by the function.
Integration with custom event sources often involves setting up __________ to handle incoming events.
- APIs
- Event handlers
- Notifications
- Queues
Integration with custom event sources often involves setting up event handlers within AWS Lambda to process incoming events and trigger the appropriate function execution.
__________ is a common use case for custom event sources, allowing Lambda functions to respond to specific application events.
- Asynchronous processing
- Authentication
- Load balancing
- Synchronous processing
Asynchronous processing is a common use case for custom event sources in AWS Lambda, allowing functions to respond to specific application events.
AWS Lambda provides __________ for integrating with custom event sources, ensuring scalability and reliability.
- API gateways
- Backup services
- Event source mappings
- Resource pools
Event source mappings in AWS Lambda allow you to connect functions with event sources such as Amazon S3, Amazon SQS, and Amazon Kinesis, ensuring scalability and reliability.
Implementing custom event sources may require __________ to manage event routing and processing efficiently.
- Encryption keys
- Event routers
- Load balancers
- Message brokers
Message brokers such as Amazon SQS or Apache Kafka may be used to manage event routing and processing efficiently when implementing custom event sources in AWS Lambda.
What are CloudWatch Metrics used for?
- Deploying applications
- Managing security groups
- Monitoring AWS resources and applications
- Storing log data
CloudWatch Metrics are used for monitoring AWS resources and applications by collecting and tracking data over time, enabling you to analyze performance and detect anomalies.
How are CloudWatch Metrics different from CloudWatch Logs?
- Metrics are stored in S3, while logs are stored in DynamoDB
- Metrics are used for monitoring, while logs are used for security
- Metrics store text-based data, while logs store numerical data
- Metrics track performance data over time, while logs capture real-time events and information
CloudWatch Metrics track performance data over time, while CloudWatch Logs capture real-time events and information, serving different purposes in monitoring and troubleshooting.
What are some common AWS services that automatically publish CloudWatch Metrics?
- AWS Lambda, Amazon SQS, Amazon DynamoDB
- Amazon CloudFront, AWS IAM, AWS Elastic Beanstalk
- Amazon EC2, Amazon RDS, Amazon S3
- Amazon Redshift, Amazon EKS, AWS Glue
Amazon EC2, Amazon RDS, and Amazon S3 are among the AWS services that automatically publish CloudWatch Metrics, providing insights into resource utilization and performance.