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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.

Kafka 109
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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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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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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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Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

Uber Engineering

This article focuses on how we … The post Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot appeared first on Uber Engineering Blog. With this new ability came new challenges that needed to be solved at Uber, such as systems for ad auctions, bidding, attribution, reporting, and more.

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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