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Brief

3 Best Practices for Building Cloud-Native Systems with Kafka

Download our Guide

Organizations are increasingly turning to data streaming to build more efficient processes and more responsive customer experiences. Many early adopters have successfully built on-premise data streaming platforms with self-managed Apache Kafka® but struggle when trying to implement use cases that require better performance and reliability.

In this Quick Guide, you’ll learn about:

  • The business benefits of migrating your data streaming use cases to the cloud
  • The challenges facing organizations who chose to self-manage vs. choosing a cloud-native Kafka service
  • Why infinite scale, elasticity, multi-tenancy, and global replication are essential features for a cloud-native data streaming platform
  • How the capabilities of open-source Kafka and Confluent Cloud differ

Check out the guide to learn more.

Additional Resources

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
Image-Event-Driven Microservices-01

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