Kafka ETL, high elasticity, free operation and maintenance, low cost

Ali Cloud message queue Kafka version provides fully managed services compatible with Apache Kafka ecology, completely solve the long-term pain points of open source products, is one of the indispensable products in the big data ecology. As Kafka grew in popularity, initially as a simple message bus and later as a data integration system, Kafka’s reliable delivery capabilities made it the perfect data source for streaming processing systems. In the field of big data engineering, Kafka plays an important role in the upstream and downstream, series data flow pipeline, Kafka application of streaming framework to process messages has gradually become a trend.

When it comes to Streaming computing, commonly used frameworks are Storm, Spark Streaming, Flink and Kafka Streams. Currently, these frameworks are relatively mature and have corresponding use cases. However, the threshold for using these frameworks is relatively high. You then migrate your business to these frameworks, and finally use and maintain these flow computing frameworks online. Especially in the face of more than 70% simple flow processing scenarios, the disadvantages of the traditional scheme will be constantly amplified, customers still need to invest large labor costs and high resources, while the whole structure is relatively complex. To sum up, the main problems include the following four aspects:

First, the operation and maintenance cost is high. The R&D team writes the code by itself and needs continuous maintenance in the later stage, which will bring large operation and maintenance cost. Second, the technology cost is high, for many lightweight or simple computing requirements, the need for technology selection, and the introduction of a new component will bring high technology cost; Third, the learning cost is unpredictable. After a component is selected, the R&D team needs to learn and maintain it continuously, which brings unexpected learning costs. Fourth, after developers choose open source components, reliability and availability cannot be well guaranteed.

In order to better solve the traditional flow computing in the face of simple flow processing scenarios encountered problems, Ali Cloud message queue Kafka version has also launched a corresponding solution: Kafka ETL.

So how exactly does Ali Cloud Kafka ETL solve the above problems?

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