Your company has a serverless application with Amazon API Gateway and AWS Lambda having both read, as well as, write APIs. The developers make frequent changes to the Lambda code and run load tests on the application after every change. The regular load testing has resulted in a spike in the cost.What are the best practices and cost savings options available on their Lambda compute usage? (Select TWO)Changing Lambda code does not necessarily require load testing. Unit and integration tests are sufficient.User reserve concurrency for the lambda functions and set the concurrency to a lower value.Use compute savings plan for lambda (discounted Savings Plans rates of up to 17% for a 1 or 3 year term, up to the commitment level.)Use Amazon EC2 instead of lambda.Use caching on Amazon API Gateway.
Question
Your company has a serverless application with Amazon API Gateway and AWS Lambda having both read, as well as, write APIs. The developers make frequent changes to the Lambda code and run load tests on the application after every change. The regular load testing has resulted in a spike in the cost.What are the best practices and cost savings options available on their Lambda compute usage? (Select TWO)Changing Lambda code does not necessarily require load testing. Unit and integration tests are sufficient.User reserve concurrency for the lambda functions and set the concurrency to a lower value.Use compute savings plan for lambda (discounted Savings Plans rates of up to 17% for a 1 or 3 year term, up to the commitment level.)Use Amazon EC2 instead of lambda.Use caching on Amazon API Gateway.
Solution
The best practices and cost savings options available on their Lambda compute usage are:
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User reserve concurrency for the lambda functions and set the concurrency to a lower value: By reserving concurrency, you can manage your costs by limiting the number of simultaneous executions of your function. This can be particularly useful if your function is triggered by a high-volume event source.
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Use compute savings plan for lambda: AWS offers Savings Plans that provide significant savings on AWS compute usage. With Compute Savings Plans, you can save up to 17% on AWS Lambda. You simply commit to a consistent amount of compute usage (e.g. $10/hour) for 1 or 3 years, and in exchange, you will receive a discount on that compute usage.
The other options mentioned are not necessarily best practices or cost-saving measures. Changing Lambda code does often require load testing to ensure the changes haven't negatively impacted performance. Using Amazon EC2 instead of Lambda may not result in cost savings, as EC2 instances are billed by the hour, while Lambda functions are billed by the millisecond. Using caching on Amazon API Gateway can improve performance, but it may not significantly reduce costs.
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