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Discussions en ligne avec Confluent

Fondé par les créateurs originaux d'Apache Kafka, Confluent propose un large éventail de discussions avec des technologues et des experts du secteur éminents.

Prochaines conférences en ligne

Tous topics
  • Tous topics
  • ZooKeeper
  • KRaft
  • Microservices
  • Streaming de données
  • Stream Processing
  • Data in Motion
Toutes langues
  • Toutes langues
  • English

Ready to break up with ZooKeeper? KRaft, you had me at hello

In this webinar, we will walk you through two product demos to ensure you’re ready for ZooKeeper-less Kafka: one on how to get started with KRaft and the second on how to migrate to KRaft from an existing deployment.

Getting started with Apache Kafka® and Real-Time Data Streaming

In this two-part webinar, you’ll get an overview of Kafka’s core concepts and how to use it to power a highly scalable, available, and resilient real-time event streaming platform.

Demo: Design Event-Driven Microservices for Cloud

Join this webinar to see how the legacy of traditional implementations still impacts microservice architectures today.

Streaming Use Case Showcase

Join us for our monthly webinar series, "Streaming Use Case Showcase," and discover how industry leaders, customers, and partners leverage Confluent's cutting-edge technology to revolutionise IT and achieve unprecedented business outcomes.

Building Real-Time, Intelligent AI Copilots with Confluent Cloud, Azure OpenAI & Azure Data Services

Join our webinar to explore how Confluent's data streaming platform, Azure data services, and Azure OpenAI deliver real-time insights and help customers conduct seamless business transactions.

Building Event-Driven Microservices with Apache Kafka

This three-part series introduces key concepts, use cases, and best practices for finding success with event-driven microservices.

Modernize Your Messaging Workloads with Data Streaming

In this session you’ll learn how to Modernize Your Messaging Workloads. This demo shows how to connect your on-premises messaging systems to Elastic with Confluent Platform.

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