Scenario: You are tasked with optimizing the performance of a serverless application that experiences frequent cold starts. What combination of strategies would you recommend to address this issue effectively?
- Implement provisioned concurrency and optimize function code
- Increase memory allocation and add more AWS Lambda functions
- Scale up the underlying infrastructure and use Auto Scaling
- Use API Gateway caching and implement asynchronous processing
Implementing provisioned concurrency in AWS Lambda along with optimizing function code can effectively address frequent cold starts by pre-warming functions and improving efficiency.
Loading...
Related Quiz
- What is one way to monitor AWS Lambda function performance?
- What are Lambda Layers used for?
- Scenario: You are designing an application where you need to perform real-time analytics on data changes in a DynamoDB table. How would you implement this using DynamoDB Streams and AWS Lambda?
- Scenario: You need to ensure compliance with strict security requirements for your AWS Lambda functions, including custom runtime environments. How would you implement security controls and best practices?
- How can you use AWS CloudWatch Logs Insights for monitoring AWS Lambda functions?