
How-to
Empowering engineers with everything they need to build, monitor, and scale real-time data pipelines with confidence.

Self-Service Kafka Governance: Streamlining Workflows with Kpow and ServiceNow
Implement Just-in-Time Kafka access by integrating Kpow with ServiceNow. Automate approvals and temporary policy management to enhance security and developer self-service.

How to Integrate Kpow with OCI Streaming with Apache Kafka
Integrate Kpow with Oracle Cloud Infrastructure Streaming with Apache Kafka in minutes. Gain unified visibility and control over your OCI brokers and ecosystem components through our market-leading engineering toolkit.
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Deploy Kpow on EKS via AWS Marketplace using Helm
Streamline your Kpow deployment on Amazon EKS with our guide, fully integrated with the AWS Marketplace. We use eksctl to automate IAM Roles for Service Accounts (IRSA), providing a secure integration for Kpow's licensing and metering. This allows your instance to handle license validation via AWS License Manager and report usage for hourly subscriptions, enabling a production-ready deployment with minimal configuration.
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Set Up Kpow with NetApp Instaclustr Platform
This guide demonstrates how to set up Kpow with NetApp Instaclustr using a practical example. We deploy a Kafka cluster with the Karapace Schema Registry add-on and a Kafka Connect cluster, then use Kpow to deploy custom connectors and manage an end-to-end data pipeline.
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Introducing Webhook Support in Kpow
This guide demonstrates how to enhance Kafka monitoring and data governance by integrating Kpow's audit logs with external systems. We provide a step-by-step walkthrough for configuring webhooks to send real-time user activity alerts from your Kafka environment directly into collaboration platforms like Slack and Microsoft Teams, streamlining your operational awareness and response.
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From Batch to Real-Time: A Hands-On CDC Project with Debezium, Kafka, and theLook eCommerce Data
This project transforms the static "theLook" eCommerce dataset into a live data stream. It uses a Python generator to simulate user activity in PostgreSQL, while Debezium captures every database change and streams it to Kafka. This creates a hands-on environment for building and testing real-time CDC pipelines.
Join the Factor Community
We’re building more than products, we’re building a community. Whether you're getting started or pushing the limits of what's possible with Kafka and Flink, we invite you to connect, share, and learn with others.