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Kafka for Microservices: Building Event-Driven Applications

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Welcome to the microservices era. As application architecture continues to shift from monolithic systems to more flexible approaches, using Apache Kafka® for microservices offers a crucial step forward in future-proofing mission-critical applications.

Ready to learn why and how to use Kafka microservices to migrate to an event-driven architecture? Register now to learn key concepts, use cases, and best practices for finding success with Kafka in microservices:

By using Kafka with microservices, you can take better advantage of their key advantage: enabling flexible and scalable application development.

Microservices separate monolithic systems into a collection of independent, self-contained services that allow easier deployment, testing, and maintenance. But microservices also have limited options to prevent downtime—including automation and DevOps practices—which often only mitigate inevitable failures.

Combining Kafka and microservices means that you can build event-driven microservices architectures that decouple different bounded contexts. As a result, you’ll have a more scalable solution with fewer failure modes that allows different teams to evolve and change with less risk of affecting one another.

Register today to join us as we explore:

  • What microservices are and how they work
  • The pros and cons of microservices architectures
  • Why Kafka is the most popular tool for building event-driven architectures

Additional resource: Ebook: Designing Event-Driven Systems

Additional Resources

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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