AWS - Lambda
A company uses Lambda functions with 256 MB memory running 200 ms per request. They want to reduce cost without changing code. Which approach helps most?
A company uses Lambda functions with 256 MB memory running 200 ms per request. They want to reduce cost without changing code. Which approach helps most?
hard📝 Best Practice Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Understand cost relation to memory and time
Cost = requests x memory size x execution time. Reducing memory lowers GB-seconds cost if function still works.Step 2: Evaluate options
Reducing memory to 128 MB saves cost if performance is acceptable. Increasing memory or requests raises cost. Switching to EC2 is a different model and may not be cheaper.Final Answer:
Reduce memory size to 128 MB if function still runs correctly -> Option BQuick Check:
Lower memory reduces GB-seconds cost [OK]
Quick Trick: Lower memory if function still works to save cost [OK]
Common Mistakes:
MISTAKES- Increasing memory without checking cost impact
- Thinking more requests reduce cost
- Assuming EC2 always cheaper than Lambda
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