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In software architecture, publish–subscribe or pub/sub is a messaging pattern where publishers categorize messages into classes that are received by subscribers. This is contrasted to the typical messaging pattern model where publishers send messages directly to subscribers.
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala . The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
The Data Distribution Service (DDS) for real-time systems is an Object Management Group (OMG) machine-to-machine (sometimes called middleware or connectivity framework) standard that aims to enable dependable, high-performance, interoperable, real-time, scalable data exchanges using a publish–subscribe pattern.
Beers that fall between 2% ABV and 5% ABV, generally considered the “low” alcohol share, make up less than half of the growth of “low-to-no” segment in the total U.S. beer market.
Meghan Markle is expected to face the heat of scrutiny as she gears up to launch her Netflix lifestyle series "With Love, Meghan." The "Suits" alum made her social media comeback in January.
WebSub (formerly PubSubHubbub) is an open protocol for distributed publish–subscribe communication on the Internet. [1] Initially designed to extend the Atom (and RSS) protocols for data feeds, the protocol can be applied to any data type (e.g. HTML, text, pictures, audio, video) as long as it is accessible via HTTP.
Australia's James O'Connor runs during the second Bledisloe Rugby test between the All Blacks and the Wallabies at Eden Park in Auckland, New Zealand, Sunday, Oct. 18, 2020.
AMQP is a binary application layer protocol, designed to efficiently support a wide variety of messaging applications and communication patterns. It provides flow controlled, [3] message-oriented communication with message-delivery guarantees such as at-most-once (where each message is delivered once or never), at-least-once (where each message is certain to be delivered, but may do so ...