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This idea will be beneficial for all the customers running AWS serverless based applications.
Serverless functions optimization is very often required and uctually uncovered from Turbonomic. It depends by a a combination of memory allocation and execution time.
Turbonomic may gather the execution time from Instana and the memory allocation from AWS, then it may try to calculate the best memory size (GB/s/Month) in order to achieve the best saving with optimal execution time, recommending up or down sizing as required.
A sample of a possible AWS Lambda power tuning process can be seen here: https://github.com/alexcasalboni/aws-lambda-power-tuning
Here also an interesting article: https://www.simform.com/blog/aws-lambda-performance/
Idea priority | Urgent |
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