Does Increasing AWS Lambda Memory to 10GB Really Make It Faster? (AWS Lambda chDB/DuckDB PyIceberg Benchmark)
📰 Dev.to · Aki
Learn how increasing AWS Lambda memory to 10GB impacts performance with a benchmark using chDB, DuckDB, and PyIceberg
Action Steps
- Run a benchmark using chDB, DuckDB, and PyIceberg on AWS Lambda with default memory settings
- Increase AWS Lambda memory to 10GB and re-run the benchmark
- Compare the performance results between the default and increased memory settings
- Analyze the impact of increased memory on execution time and cost
- Optimize AWS Lambda function configuration based on the benchmark results
Who Needs to Know This
Developers and DevOps engineers can benefit from understanding the performance implications of increasing AWS Lambda memory, especially when working with data-intensive applications
Key Insight
💡 Increasing AWS Lambda memory to 10GB may not always result in significant performance improvements, and careful benchmarking is necessary to optimize function configuration
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💡 Does increasing AWS Lambda memory to 10GB really make it faster? Find out with this benchmark using chDB, DuckDB, and PyIceberg
Key Takeaways
Learn how increasing AWS Lambda memory to 10GB impacts performance with a benchmark using chDB, DuckDB, and PyIceberg
Full Article
Original Japanese article: AWS Lambdaを10GBにすると本当に速くなるのか？（AWS Lambda×chDB/DuckDB×PyIceberg検証） ...
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