(AND HOW TO SOLVE THEM)
Apache Kafka is now synonymous with streaming data, but that doesn’t necessarily mean it’s easy. As most open-source tools go, Kafka comes with its fair share of issues and challenges, especially when you start trying to use it at scale. These challenges include things like constant rebalancing, mid-batch errors, and one consumer doing all the work.
The good news? Most of these Kafka issues are resolvable with the right approach and/or Kafka ecosystem tool.
We’ve been in the Kafka trenches, so to speak, for years, and know exactly which issues companies most often face with Kafka and how best to solve them.
Read this paper to learn:
- The 7 main Kafka challenges companies struggle with the most
- How to resolve these problems with or without the use of a Kafka ecosystem tool
- Where certain Kafka tools work and others don’t, and how to choose between them for each Kafka issue
Read now to get on your way to using Kafka at scale, without issues.