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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?

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What Is an Event in the Apache Kafka Ecosystem?

Confluent

Get an introduction into the world of events and event-driven architecture in Apache Kafka. Learn what events are and the role they play in event design, event streaming, and event-driven design.

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

Monte Carlo

While not every company needs to process millions of events per second, understanding these advanced architectures helps us make better decisions about our own data infrastructure, whether we’re handling user recommendations, ride-sharing logistics, or simply figuring out which meeting rooms are actually being used.

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Understanding Kafka Debezium Event Sourcing: 7 Critical Steps

Hevo

Today, a combination of Debezium and Kafka is embraced by organizations to record changes in databases and provide information to subscribers (other applications). In this article, you will learn about Kafka Debezium, features of Debezium, and how to perform event sourcing using Debezium and Kafka.

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Event-Driven Microservices with Python and Apache Kafka

Confluent

A deep dive into how microservices work, why it’s the backbone of real-time applications, and how to build event-driven microservices applications with Python and Kafka.

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How to Use Kafka for Event Streaming in a Microservices Architecture?

Workfall

It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly. This is where Apache Kafka comes in. Kafka can also be used to stream data from IoT devices or sensors. Let’s get started!

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Setting Up Kafka Multi-Tenancy 

DoorDash Engineering

Real-time event processing is a critical component of a distributed system’s scalability. At DoorDash, we rely on message queue systems based on Kafka to handle billions of real-time events. We will delve here into how we set up multi-tenancy with a messaging queue system based on Kafka.

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