Apache Kafka is proving its mettle in the burgeoning microservices space
Research values the global microservices industry at $1.8 billion, and microservices deployments continue to rise across the board. With that sort of interest, there is now a great collection of frameworks, libraries and other packages designed to help construct elegant, reactive services. One of which is Kafka. Under the Apache project umbrella, Apache Kafka is a unique proposition for constructing microservices that require real-time streaming capabilities. Described as a “distributed streaming platform,” Kafka meshes the old and new, combining the benefits of distributed processing with enterprise systems, making it a contender for a broad range of use case scenarios. In this article, we’ll take a bird’s eye view of building real-time applications that implement Kafka Streams.
With user demand calling for real-time applications, developers are seeking innovative methods for implementing it. If streaming is the rage, Kafka is of the moment. Streaming is beneficial for architecting pipelines that react to events, and the client library Kafka Streams can be utilized for constructing such microservices. Kafka can be leveraged to deploy to containers, cloud, bare-metal or virtual machines. Data storage must be in Kafka clusters, making it a great match for Java and Scala applications.
Benefits of Apache Kafka
Kafka can act as an intersection between applications to enable publishing, subscription and stream-processing capabilities. With a distributed nature by design, Kafka has a configurable Leader and Follower relationship between servers. If you require real-time applications to transmit data between systems or need to act upon real-time data in some fashion, Kafka is a quality bet. Proof lies in its wide base of adoption, including the likes of New York Times, Pinterest, Zalando, LINE, Trivago and others.
This article originally appeared on containerjournal.com. To read the full article, click here.
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