Streams real-time data from Kafka topics to Amazon S3 with automated partitioning and compression.
The Kafka to S3 Data Streamer skill provides a production-ready blueprint for bridging real-time message brokers with durable cloud storage. It simplifies the complex task of data routing by automating time-based partitioning (hourly or daily), implementing Gzip compression for storage efficiency, and managing consumer groups to ensure reliable delivery. This skill is particularly useful for engineers building data lakes, archival systems, or preparing event-driven data for downstream analysis in AWS Athena or Glue.
Key Features
01Full consumer group and offset management
02Intelligent time-based partitioning (hourly and daily formats)
03Automated batching for efficient S3 write operations
04Seamless integration with Expanso Edge pipelines
050 GitHub stars
06Integrated Gzip compression to reduce S3 storage costs
Use Cases
01Implementing durable audit trails for distributed microservices
02Preparing streaming data for batch processing and analytics in AWS
03Archiving real-time event logs from Kafka to a permanent S3 data lake
