From 15-Minute Lambda Timeouts to Sub-Second Runs — A DynamoDB Optimization Story
📰 Dev.to · rohan bhosale
Optimize DynamoDB Lambda functions to achieve sub-second runs by using ProjectionExpressions and incremental delta fetching
Action Steps
- Use ProjectionExpressions to reduce the amount of data retrieved from DynamoDB
- Implement incremental delta fetching with S3 state to minimize the number of requests
- Apply in-memory accumulation to process data efficiently
- Configure Lambda functions to handle sub-second runs
- Test and monitor the optimized Lambda functions for performance
Who Needs to Know This
Developers and DevOps engineers can benefit from this article to improve the performance of their Lambda functions and reduce timeouts
Key Insight
💡 Using ProjectionExpressions and incremental delta fetching can significantly reduce Lambda function execution time
Share This
💡 Optimize your Lambda functions with ProjectionExpressions and incremental delta fetching to achieve sub-second runs!
Key Takeaways
Optimize DynamoDB Lambda functions to achieve sub-second runs by using ProjectionExpressions and incremental delta fetching
Full Article
How I rescued two daily stats Lambdas from constant timeouts using ProjectionExpressions, incremental delta fetching with S3 state, and in-memory accumulation.
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