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Beskrivelse
NSP har et midlewarelayer som skal anvendes når en komponent ønsker at bruge Kafka.
NSP Kafka Clients skal anvendes af alle på samme måde som Kafka Java Clients bortset fra at man anvender NSP versioner af KafkaProducer og KafkaConsumer klasserne
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Support ansvarlig: Arosii
NSP, Kafka leverancebeskrivelse: Kafka, samt Den Gode Brug af Kafka
Forretningsanvendelse
Der er ingen forretningsbeskrivelse.
Applikationsbeskrivelse
A streaming platform has three key capabilities:
- Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system.
- Store streams of records in a fault-tolerant durable way.
- Process streams of records as they occur.
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Any message queue that allows publishing messages decoupled from consuming them is effectively acting as a storage system for the in-flight messages. What is different about Kafka is that it is a very good storage system.
Data written to Kafka is written to disk and replicated for fault-tolerance. Kafka allows producers to wait on acknowledgement so that a write isn't considered complete until it is fully replicated and guaranteed to persist even if the server written to fails.
The disk structures Kafka uses scale well—Kafka will perform the same whether you have 50 KB or 50 TB of persistent data on the server.
As a result of taking storage seriously and allowing the clients to control their read position, you can think of Kafka as a kind of special purpose distributed filesystem dedicated to high-performance, low-latency commit log storage, replication, and propagation.
Datastruktur
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Teknologibeskrivelse
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