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Integrate Apache Kafka Source with TrackJS
Don't go through the pain of direct integration. RudderStack’s Apache Kafka Source integration makes it easy to send data from Apache Kafka Source to TrackJS and all of your other cloud tools.
Easy Apache Kafka Source to TrackJS integration with RudderStack
RudderStack’s open source Apache Kafka Source integration allows you to integrate RudderStack with your Apache Kafka Source to track event data and automatically send it to TrackJS. With the RudderStack Apache Kafka Source integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Available via webhook
Send event data to TrackJS by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the TrackJS API. Once enabled, RudderStack will forward events to TrackJS (note, this requires leveraging cloud API endpoints for TrackJS ).
Popular ways to use TrackJS and RudderStack
Stream behavioral data
Easily stream data from your website or app to [integration, destination=TRUE] in real-time.
Customize data payloads
Modify payloads to match requirements in [integration, destination=TRUE].
Connect your pipelines
Automatically send user behavior data directly to TrackJS.
Frequently Asked Questions
About TrackJS
TrackJS is a JavaScript-based error logging and reporting platform that lets you track and reproduce errors on your website. With TrackJS, error handling, reporting and fixing become much easier and more accessible for your entire team. With simple, intuitive reports and clear, timely alerts, you can see and understand any errors in your frontend code, with the required context to fix those bugs quickly and efficiently. TrackJS is 100% employee owned and operated.
About Apache Kafka Source
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.