I Heart Logs: Event Data, Stream Processing & Data Integration

Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more

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Jay Kreps, CEO of Confluent and original co-creator of Apache Kafka, shows you how logs work in distributed systems, and provide practical applications of these concepts in a variety of common use cases.

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Learn how logs are used for programmatic access in databases and distributed systems
Understand why logs are at the heart of real-time stream processing
Learn how logs and stream-processing can form a backbone for data flow and real-time data processing
Discover solutions to the data integration problem when more diverse data needs to be accessed by more specialized systems

Jay KrepsCo-founder & CEO, Confluent

Jay Kreps is the CEO and co-founder of Confluent, the foundational platform for data in motion built on Apache Kafka. As a pioneer in a new category of data infrastructure, Confluent’s significant growth underscores the importance of data in motion across all industries. Prior to Confluent he was the lead architect for data and infrastructure at LinkedIn. He is the initial developer of several open source projects, including Apache Kafka.

Additional Resources

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

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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

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