kinesis-stream-processor

What problem does it solve?

This Skill simplifies the complexity of building and managing real-time data streaming applications using AWS Kinesis, enabling efficient data processing and analysis.

Core Features & Use Cases

• Producer Implementation: Provides robust Python and Node.js examples for sending data to Kinesis streams with batching and error handling.
• Consumer Patterns: Demonstrates how to consume data using AWS Lambda, KCL-style (Python), and Enhanced Fan-Out for various real-time processing needs.
• Infrastructure as Code: Includes CloudFormation and Terraform examples for provisioning Kinesis streams and related resources.
• Monitoring: Offers guidance on key CloudWatch metrics and provides a Python script for retrieving stream metrics.
• Use Case: Process clickstream data from a website in real-time to personalize user experiences or detect fraudulent activity.

Quick Start

Use the kinesis-stream-processor skill to create a new Kinesis Data Stream named 'my-data-stream' with 2 shards and a retention period of 24 hours using CloudFormation.