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Apache Camel is an open source framework for message-oriented middleware with a rule-based routing and mediation engine that provides a Java object-based implementation of the Enterprise Integration Patterns using an application programming interface (or declarative Java domain-specific language) to configure routing and mediation rules.
Red Hat Fuse is an open source integration platform based on Apache Camel.It is a distributed integration platform that provides a standardized methodology, infrastructure, and tools to integrate services, microservices, and application components.
A printing protocol is a protocol for communication between client devices (computers, mobile phones, tablets, etc.) and printers (or print servers).It allows clients to submit one or more print jobs to the printer or print server, and perform tasks such as querying the status of a printer, obtaining the status of print jobs, or cancelling individual print jobs.
The pattern language presented in the book consists of 65 patterns structured into 9 categories, which largely follow the flow of a message from one system to the next through channels, routing, and transformations. The book includes an icon-based pattern language, sometimes nicknamed "GregorGrams" after one of the authors.
Apache Camel: Apache Software Foundation: 2.23.3 2018-11-29 Free/Commercial support available Yes Apache Software License: Apache Kafka: Apache Software Foundation: 0.10.20 2017-02 Free / Commercial support available Yes Apache Software License: Apache ServiceMix Apache Software Foundation: 7.0 2017-01 Free / Commercial support available Yes
HBase: Apache HBase software is the Hadoop database. Think of it as a distributed, scalable, big data store; Helix: a cluster management framework for partitioned and replicated distributed resources; Hive: the Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
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Concurrency is message-based and asynchronous: typically no mutable data are shared and no synchronization primitives are used; Akka implements the actor model. The way actors interact is the same whether they are on the same host or separate hosts, communicating directly or through routing facilities, running on a few threads or many threads, etc.