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White Paper

Migrating from Kafka services to Confluent

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Apache Kafka¬ģ is a widely adopted open-source data streaming technology, but as organizations expand their Kafka footprint, challenges like scalability, performance, and security emerge. Confluent offers a cloud-native, complete data streaming platform that addresses these challenges, enabling organizations to accelerate innovation by freeing technical teams from low-level infrastructure.

One of the most common questions we hear from organizations is, ‚ÄúHow do we migrate from our open-source Apache Kafka deployment to Confluent without any downtime?‚ÄĚ Truthfully, the answer is, it really depends on your specific environment.

This can make migrations seem daunting, but they don’t have to be. This kit aims to instill confidence in those contemplating adopting Confluent. Think of this as your comprehensive guide that demonstrates how migrations are achievable (and not so scary).

While the content will focus primarily on migrations from open-source Kafka, most of the concepts can be applied when migrating from another messaging platform or a hosted or partially managed Kafka service. In this kit, you’ll find:

  1. Best practices migration handbook that provides a ‚Äúhow to‚ÄĚ framework for migrating from an existing Apache Kafka deployment
  2. Information about certified partner programs for additional Kafka expertise
  3. Real-life customer success stories that detail their personal migration journeys

Ready to get started?

Ressources supplémentaires

cc demo

Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
kafka microservices

Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
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e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices