How can I implement a Python Lambda architecture?
To implement a Python Lambda architecture, you need to set up a data processing pipeline that includes batch and real-time processing.
What tools or frameworks should I use for this?
You can use Apache Spark for batch processing and AWS Lambda for real-time processing. Additionally, consider using AWS Kinesis for streaming data.
Can you give me a simple example of a Lambda function?
Sure! Here's a simple AWS Lambda function in Python that processes incoming data from Kinesis and stores it in S3.
What are the best practices for managing Lambda functions?
Best practices include setting appropriate timeout settings, monitoring performance with CloudWatch, and using environment variables for configuration.
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