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Troubleshooting Kafka In Production

Data Engineering Podcast

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Can you describe your experiences with Kafka? What are the operational challenges that you have had to overcome while working with Kafka? When is Kafka the wrong choice?

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How To Learn Apache Kafka By Doing in 2025

ProjectPro

Looking for the ultimate guide on mastering Apache Kafka in 2024? The ultimate hands-on learning guide with secrets on how you can learn Kafka by doing. Discover the key resources to help you master the art of real-time data streaming and building robust data pipelines with Apache Kafka. How Difficult Is It To Learn Kafka?

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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

Before diving into what makes each company unique, let’s look at the three tools that kept showing up everywhere: Apache Kafka : A distributed event streaming platform that is the standard for moving large amounts of data in real-time. When you request a ride, Uber grabs your location and streams it through Kafka to Flink.

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AWS Kafka: Your Go-to Solution for Real-Time Data Streaming

ProjectPro

Explore the full potential of AWS Kafka with this ultimate guide. Elevate your data processing skills with Amazon Managed Streaming for Apache Kafka, making real-time data streaming a breeze. According to IDC , the worldwide streaming market for event-streaming software, such as Kafka, is likely to reach $5.3

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Kafka Summit New York 2019 Session Videos

Confluent

It seems like there’s a Kafka Summit every other month. We now have the Kafka Summit New York in the books, and the session videos are available in record time. James Watters (Senior VP of Strategy for Pivotal) talked about how Pivotal discovered the criticality of Kafka through its work in microservices transformation.

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Building Transactional Systems Using Apache Kafka

Confluent

This article presents an event-based architecture that retains most transactional properties as provided by an RDBMS, while leveraging Apache Kafka ® as a scalable and highly available single source of truth. Martin Kleppmann argues in his book Designing Data-Intensive Applications that consistency is an application-specific notion.

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How to Build a Scalable Data Architecture with Apache Kafka

KDnuggets

Learn about Apache Kafka architecture and its implementation using a real-world use case of a taxi booking app.

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