The Top 6 Reasons Kafka Projects Fail (and How to Overcome Them)
Deploying and managing Apache Kafka® for enterprise use cases is fraught with difficulty.
Challenges Running Kafka
Kafka is a distributed system, and like most distributed systems, operating it requires careful consideration of networking, resource allocation, faults, and recovery. While it is relatively easy to get started in using Kafka, building a reliable and trustworthy Kafka service can take many weeks or even months.
Yet today’s organizations are highly motivated to overcome these challenges because the real-time insights and responsiveness Kafka can deliver offer powerful technical and business benefits. And although there are more than 1,000 use cases to date, the underlying reasons why Kafka projects fail are much more universal — which means their solutions are as well.
In this ebook, learn top six reasons why most Kafka projects fail:
- Why Kafka operations are so resource-intensive
- The demand for better security and governance capabilities
- Challenges faced when planning and executing Kafka projects
- The manual interventions and considerations needed when scaling Kafka
Read the ebook to learn about each of these challenges in detail, as well as how to overcome them with Confluent.
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