/plushcap/analysis/acceldata/data-engineering-optimize-apache-kafka

How Big Tech & FAANG Firms Manage and Optimize Apache Kafka

What's this blog post about?

Apache Kafka, an open-source messaging/streaming system, is a key enabler for many data-driven companies today. Companies like Uber, LinkedIn, and Tencent process trillions of messages daily using Kafka. Despite the emergence of alternative systems such as Flink, RabbitMQ, AWS Kinesis, Google Pub/Sub, and Azure Event Hub, Kafka remains dominant due to its reliability, scalability, compatibility with other data tools, and flexibility. However, managing and optimizing Kafka can be challenging for companies without the scale, budgets, and engineering manpower of Big Tech. This article explores how Walmart, Uber, Twitter, LinkedIn, and Tencent manage their cutting-edge Kafka deployments and provides insights on how other companies can efficiently manage and optimize their Kafka systems.

Company
Acceldata

Date published
May 23, 2022

Author(s)
Kamal Maheshwari

Word count
2704

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.