What is the primary advantage of using a custom runtime in AWS Lambda?
- Custom runtimes offer better performance and resource optimization compared to standard runtimes in AWS Lambda.
- Custom runtimes provide built-in monitoring and debugging tools for AWS Lambda functions, streamlining development and troubleshooting processes.
- The primary advantage of using a custom runtime is the ability to leverage existing libraries and frameworks in languages not officially supported by AWS Lambda.
- Using a custom runtime in AWS Lambda eliminates the need for managing server infrastructure, reducing operational overhead and costs.
The primary advantage of using a custom runtime is the ability to leverage existing libraries and frameworks in languages not officially supported by AWS Lambda.
How can you create a custom runtime for AWS Lambda?
- Modifying the AWS Lambda source code
- Uploading a custom Docker image
- Using a third-party service
- Using the AWS Lambda Runtime API
Using the AWS Lambda Runtime API allows you to build custom runtimes by implementing a specific interface for handling function invocations, initialization, and cleanup.
What are the considerations when deploying a custom runtime in AWS Lambda?
- Cold start performance
- Compatibility with AWS services
- Cost implications
- Security implications
Considerations for deploying a custom runtime in AWS Lambda include its impact on cold start performance, as custom runtimes may have different initialization times.
What are some examples of scenarios where using a custom runtime in AWS Lambda might be beneficial?
- Framework compatibility
- Language support
- Legacy system integration
- Performance optimization
Using a custom runtime in AWS Lambda might be beneficial when you need to support programming languages that are not natively supported by AWS Lambda.
Custom runtimes allow developers to use __________ languages or language versions in AWS Lambda.
- AWS-approved
- Any
- Only compiled
- Only interpreted
Custom runtimes allow developers to use any languages or language versions in AWS Lambda, providing flexibility beyond the supported runtimes.
When creating a custom runtime, you need to provide a bootstrap file that handles __________ between the Lambda service and your runtime.
- Communication
- Data encryption
- File management
- Resource allocation
The bootstrap file in a custom runtime handles communication between the Lambda service and your runtime, facilitating the execution of Lambda functions.
AWS Lambda provides __________ for building and deploying custom runtimes to simplify the process.
- Documentation
- SDKs
- Templates
- Tooling
AWS Lambda provides tooling for building and deploying custom runtimes, such as the AWS Lambda Runtime Interface Emulator and the AWS Lambda Runtime API, to simplify the process.
When using a custom runtime, you have full control over the __________ and execution environment of your Lambda functions.
- Infrastructure
- Networking
- Permissions
- Runtime
When using a custom runtime, you have full control over the runtime and execution environment of your Lambda functions.
Monitoring and debugging custom runtimes might require integration with AWS __________ services.
- CloudWatch
- Glacier
- RDS
- S3
Monitoring and debugging custom runtimes in AWS Lambda might require integration with AWS CloudWatch services.
Scenario: You are working with a third-party vendor who needs temporary access to specific resources in your AWS account. How would you implement Cross-Account Access securely?
- Allow the third-party vendor to create their IAM users in your account for access.
- Create a temporary IAM role with limited permissions and provide the third-party vendor with temporary credentials to assume the role.
- Share your root account credentials with the third-party vendor for direct access to the resources.
- Use IAM groups with cross-account access policies to grant access to the third-party vendor.
By creating a temporary IAM role with restricted permissions and providing the third-party vendor with temporary credentials, you can ensure secure access to specific resources in your AWS account for the duration of their need.