Feeling stuck with Segment? Say 👋 to RudderStack.
Integrate your Eleventy site with Confluent Cloud
Don't go through the pain of direct integration. RudderStack’s Javascript SDK makes it easy to send data from your Eleventy site to Confluent Cloud and all of your other cloud tools.
Easy Eleventy to Confluent Cloud integration with RudderStack
RudderStack’s open source Javascript SDK allows you to integrate RudderStack with your your Eleventy site to track event data and automatically send it to Confluent Cloud. With the RudderStack Javascript SDK, 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.
Popular ways to use Confluent Cloud and RudderStack
Send data anywhere
Automatically send data to any destination that supports webhooks
Customize event payloads
Easily modify payloads to meet the requirements of multiple webhook destinations
Ingest from any webhook
Automatically ingest data from any source that supports webhooks
Frequently Asked Questions
How do you integrate your Eleventy site with Confluent cloud?
With Rudderstack, integration between Eleventy and Confluent cloud is simple. Set up a Eleventy source and start sending data.
Is it expensive to integrate Eleventy with Confluent cloud?
Pricing Eleventy and Confluent cloud can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
How long does it take to integrate Eleventy with Confluent cloud?
Timing can vary based on your tech stack and the complexity of your data needs for Eleventy and Confluent cloud.
About Confluent Cloud
Confluent Cloud is a cloud-native event streaming platform powered by Apache Kafka. It is a simple, scalable, and secure event streaming platform built for cloud-first enterprises and agile developers.
Powered by Apache Kafka, it is simple, secure, and simplifies data ingestion and processing on all the major clouds. With Confluent Cloud, you can easily handle large-scale data workloads without compromising on performance.
