Thanks to its ability to ingest massive volumes of fast-moving, real-time data, Apache Kafka has quickly become a cornerstone of modern tech stacks. Used to power everything from agentic AI networks to analytics and insights for decision makers, Kafka provides companies a vital competitive edge. But without the right governance, management, and architecture tools, teams will encounter issues around Kafka operations, utilization, and processes.

This ebook will outline five surprising challenges for Kafka environments—and how platform, data, and engineering leaders can recognize and overcome them. Newcomers and seasoned users alike will benefit from relevant customer stories, clear insights, and actionable takeaways to use in your own environment. Whether you’re scaling up, troubleshooting, or optimizing Kafka projects or workflows, you’ll find value from this ebook.

Read on to learn about:

• How and why poor quality data breaks applications, analytics, and AI—and how you can fix it at the source

• How to use automation and standardization to reduce developer overhead and inter-team tension

• How operational and analytical teams (and systems) can easily get siloed

• How hidden Kafka infrastructure drives up costs—and how to identify and remove it

• How Kafka can bridge gaps between legacy and modern systems