Kafka is linkedIn developed and distributed a set of open source, high-performance messaging engine service, later more and more companies use in their own system, you can say, Kafka era of big data is the preferred data pipeline technology. In the design, it achieves high reliability, high throughput, high availability and scalable, thanks to these features, plus active community, Kafka became a fully distributed messaging engine solution.
After years of development, functions and features are constantly iteration Kafka, Kafka now set messaging systems, storage systems and streaming platform in one, and as the connection with various business prospects and the background data messaging middleware, the online environment It assumes a very important role.
However, in actual use Kafka, almost everyone is more or less will encounter some problems, such as:
the thorny issue of online difficult to locate and resolve, how to do?
In Kafka version of evolution, the endless variety of new features, resulting in a variety of compatibility issues followed, how do?
When the cluster size expansion to a certain extent, the contradiction between high performance and limited resources to pursue and become increasingly acute in, how do?
How to successfully fill those "pit", it is placed in front of each learner Kafka's most urgent problem.
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