12/12/2023 0 Comments Apache web server kafka writerWhile the Producer and Consumer APIs can be used for simple stream processing, it’s the Streams API that enables development of more sophisticated data- and event-streaming applications. Streams API: This builds on the Producer and Consumer APIs and adds complex processing capabilities that enable an application to perform continuous, front-to-back stream processing-specifically, to consume records from one or more topics, to analyze or aggregate or transform them as required, and to publish resulting streams to the same topics or other topics.It can work with records in the topic in real-time, or it can ingest and process past records. Consumer API: This enables an application to subscribe to one or more topics and to ingest and process the stream stored in the topic.After a record is written to a topic, it can’t be altered or deleted instead, it remains in the topic for a preconfigured amount of time-for example, for two days-or until storage space runs out. A topic is a named log that stores the records in the order they occurred relative to one another. Producer API: This enables an application to publish a stream to a Kafka topic.It processes records in real-time (as they occur).ĭevelopers can leverage these Kafka capabilities through four APIs:.It stores records accurately (i.e., in the order in which they occurred) in a fault-tolerant and durable way.It enables applications to publish or subscribe to data or event streams.The following video provides further information about Kafka (9:10): Fortune 500 organizations such as Target, Microsoft, AirBnB, and Netflix rely on Kafka to deliver real-time, data-driven experiences to their customers. Today, Kafka has evolved into the most widely-used streaming platform, capable of ingesting and processing trillions of records per day without any perceptible performance lag as volumes scale. LinkedIn developed Kafka in 2011 as a high-throughput message broker for its own use, then open-sourced and donated Kafka to the Apache Software Foundation (link resides outside ibm.com). A streaming platform enables developers to build applications that continuously consume and process these streams at extremely high speeds, with a high level of fidelity and accuracy based on the correct order of their occurrence. These streams offer opportunities for applications that respond to data or events in real-time. An event doesn’t have to involve a person-for example, a connected thermostat’s report of the temperature at a given time is also an event. A customer placing an order, choosing a seat on a flight, or submitting a registration form are all examples of events. Typically, an event is an action that drives another action as part of a process. An event is a digital record of an action that happened and the time that it happened. Today, billions of data sources continuously generate streams of data records, including streams of events. Apache Kafka (Kafka) is an open source, distributed streaming platform that enables (among other things) the development of real-time, event-driven applications.
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