github.com/factorhouse/examples @v1.0

Product Feature

• Manage Kafka Consumer Offsets with Kpow
• Python Kafka producer and consumer clients that are used to showcase consumer group offset management capabilities of Kpow.
• Manage Kafka Consumer Offsets with Kpow (blog post)

Integration

• Setting Up Kpow with Confluent Cloud
• A step-by-step guide to configuring Kpow with Confluent Cloud resources including Kafka clusters, Schema Registry, Kafka Connect, and kSQLDB.
• Set Up Kpow with Amazon Managed Streaming for Apache Kafka
• A comprehensive, step by step guide to provisioning AWS MSK infrastructure, configuring authentication with the OAUTHBEARER mechanism using AWS IAM, setting up a client EC2 instance within the same VPC, and deploying Kpow.
• Set Up Kpow with Google Cloud Managed Service for Apache Kafka
• A practical, step-by-step guide on setting up a Google Cloud Managed Service for Apache Kafka cluster and connecting it from Kpow using the OAUTHBEARER mechanism.

Factor House Local

Looking for local development environment? Check out Factor House Local.

It provides a collection of pre-configured Docker Compose environments that demonstrate modern data platform architectures. Each setup is purpose-built around a specific use case and incorporates widely adopted technologies such as Kafka, Flink, Spark, Iceberg, and Pinot. These environments are further enhanced by enterprise-grade tools from Factor House: Kpow, for Kafka management and control, and Flex, for seamless integration with Flink.

Factor House Local Labs

The Factor House Local labs provide a fast and practical entry point for developers building real-time data pipelines using Kafka, Flink, Spark, Iceberg, and Pinot. These hands-on labs highlight key capabilities such as Avro serialization with Schema Registry, stream processing with Kafka Streams and Flink (via SQL and DataStream APIs), connector deployment with Kpow, modern lakehouse integrations using Iceberg, and real-time analytics with Pinot. Each lab is designed to be modular, hands-on, and production-inspired - making it easy to learn, prototype, and extend.

Visit the Labs to explore detailed walkthroughs, configuration examples, and practical exercises that will help you get up and running quickly with each tool in a real-world context.

Support

Any issues? Contact support or view our docs.

License

This repository is released under the Apache 2.0 License.

Copyright © Factor House.