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Apache RocketMQ
RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability. It is the third generation distributed messaging middleware open sourced by Alibaba in 2012. On November 21, 2016, Alibaba donated RocketMQ to the Apache Software Foundation The Apache Software Foundation (ASF) is an American nonprofit corporation (classified as a 501(c)(3) organization in the United States) to support a number of open source software projects. The ASF was formed from a group of developers of the .... Next year, on February 20, the Apache Software Foundation announced Apache RocketMQ as a Top-Level Project. History The development of RocketMQ can be divided into three stages. The first generation uses the push mode in data transportation, and relational database in data storage. It shows low latency in message delivery and meets the command of a typical E-commerce platform with distributed transa ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Java (programming Language)
Java is a high-level, class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible. It is a general-purpose programming language intended to let programmers ''write once, run anywhere'' ( WORA), meaning that compiled Java code can run on all platforms that support Java without the need to recompile. Java applications are typically compiled to bytecode that can run on any Java virtual machine (JVM) regardless of the underlying computer architecture. The syntax of Java is similar to C and C++, but has fewer low-level facilities than either of them. The Java runtime provides dynamic capabilities (such as reflection and runtime code modification) that are typically not available in traditional compiled languages. , Java was one of the most popular programming languages in use according to GitHub, particularly for client–server web applications, with a reported 9 million developers. Java was originally de ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Apache Samza
Apache Samza is an Open-source software, open-source, near-realtime, asynchronous computational framework for stream processing developed by the Apache Software Foundation in Scala (programming language), Scala and Java (programming language), Java. It has been developed in conjunction with Apache Kafka. Both were originally developed by LinkedIn. Overview Samza allows users to build state (computer science), stateful applications that process data in real-time from multiple sources including Apache Kafka. Samza provides fault tolerance, isolation and stateful processing. Unlike batch systems such as Apache Hadoop or Apache Spark, it provides continuous computation and output, which result in sub-second response times. There are many players in the field of real-time stream processing and Samza is one of the mature products. It was added to Apache in 2013. Samza is used by multiple companies. The biggest installation is in LinkedIn. See also * Apache Beam * Druid (open-sourc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Service-oriented Architecture
In software engineering, service-oriented architecture (SOA) is an architectural style that focuses on discrete services instead of a monolithic design. By consequence, it is also applied in the field of software design where services are provided to the other components by application components, through a communication protocol over a network. A service is a discrete unit of functionality that can be accessed remotely and acted upon and updated independently, such as retrieving a credit card statement online. SOA is also intended to be independent of vendors, products and technologies. Service orientation is a way of thinking in terms of services and service-based development and the outcomes of services. A service has four properties according to one of many definitions of SOA: # It logically represents a repeatable business activity with a specified outcome. # It is self-contained. # It is a black box for its consumers, meaning the consumer does not have to be aware of the ser ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Message-oriented Middleware
Message-oriented middleware (MOM) is software or hardware infrastructure supporting sending and receiving messages between distributed systems. MOM allows application modules to be distributed over heterogeneous platforms and reduces the complexity of developing applications that span multiple operating systems and network protocols. The middleware creates a distributed communications layer that insulates the application developer from the details of the various operating systems and network interfaces. APIs that extend across diverse platforms and networks are typically provided by MOM. This middleware layer allows software components (applications, Enterprise JavaBeans, servlets, and other components) that have been developed independently and that run on different networked platforms to interact with one another. Applications distributed on different network nodes use the application interface to communicate. In addition, by providing an administrative interface, this new, vir ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Event-driven SOA
Event-driven SOA is a form of service-oriented architecture (SOA), combining the intelligence and proactiveness of event-driven architecture with the organizational capabilities found in service offerings. Before event-driven SOA, the typical SOA platform orchestrated services centrally, through pre-defined business processes, assuming that what should have already been triggered is defined in a business process. This older approach (sometimes called SOA 1.0) does not account for events that occur across, or outside of, specific business processes. Thus complex events, in which a pattern of activities—both non-scheduled and scheduled—should trigger a set of services is not accounted for in traditional SOA 1.0 architecture. SOA 2.0 SOA 2.0 architecture, ("event-driven SOA"), lets business users monitor, analyze, and enrich events to make the connections among disparate events that do not at first appear to be intuitively obvious. This makes these enriched events visible to other ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Event Stream Processing
In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views data streams, or sequences of events in time, as the central input and output objects of computation. Stream processing encompasses dataflow programming, reactive programming, and distributed data processing. Stream processing systems aim to expose parallel processing for data streams and rely on streaming algorithms for efficient implementation. The software stack for these systems includes components such as programming models and query languages, for expressing computation; stream management systems, for distribution and scheduling; and hardware components for acceleration including floating-point units, graphics processing units, and field-programmable gate arrays. The stream processing paradigm simplifies parallel software and hardware by restricting the parallel computation that can be perfor ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Enterprise Messaging System
An enterprise messaging system (EMS) or messaging system in brief is a set of published enterprise-wide standards that allows organizations to send semantically precise messages between computer systems. EMS systems promote loosely coupled architectures that allow changes in the formats of messages to have minimum impact on message subscribers. EMS systems are facilitated by the use of structured messages (such as using XML or JSON), and appropriate protocols, such as DDS, MSMQ, AMQP or SOAP with web services. EMS usually takes into account the following considerations: # ''Security'': Messages must be encrypted if they travel over public interfaces. Messages must be authenticated or digitally signed if the receiver is to have confidence that the messages have not been tampered with in transit. # ''Routing'': Messages need to be routed efficiently from the sender to the receiver. Intermediate nodes may need to route the messages if the body of the message is encrypted. # ' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Enterprise Integration Patterns
''Enterprise Integration Patterns'' is a book by Gregor Hohpe and Bobby Woolf and describes 65 patterns for the use of enterprise application integration and message-oriented middleware in the form of a pattern language. The integration (messaging) pattern language 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. Excerpts from the book (short pattern descriptions) are available on the supporting website (see External links). Integration styles and types The book distinguishes four top-level alternatives for integration: # File Transfer # Shared Database # Remote Procedure Invocation # Messaging The following integration types are introduced: * Information Portal * Data Replication * Shared Business Function ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Distribution Service
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. DDS addresses the needs of applications like aerospace and defense, air-traffic control, autonomous vehicles, medical devices, robotics, power generation, simulation and testing, smart grid management, transportation systems, and other applications that require real-time data exchange. Architecture Model DDS is a networking middleware that simplifies complex network programming. It implements a publish–subscribe pattern for sending and receiving data, events, and commands among the nodes. Nodes that produce information (publishers) create "topics" (e.g., temperature, location, pressure) and publish "samples". DDS delivers the samples to subscribers that declare ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Apache Spark
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Overview Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API. In Spark 1.x, the RDD was the primary application programming interface (API), but as of Spark 2.x use of the Dataset API is encouraged even though the RDD API is not deprecated. The RDD technology still underlies the Dataset API. Spark and its RDDs were developed in 2012 in response to limitations i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Apache Qpid
Apache Qpid is an open-source messaging system which implements the Advanced Message Queuing Protocol (AMQP). It provides transaction management, queuing, distribution, security, management, clustering, federation and heterogeneous multi-platform support. The Apache Qpid API supports multiple programming languages and comes with both C++ (for Perl, Python, Ruby, .NET etc.) and Java (JMS API) brokers. History In 2005 JPMorgan Chase approached other firms to form a working group that included Cisco Systems, IONA Technologies, iMatix, Red Hat, and Transaction Workflow Innovation Standards Team (TWIST). In the same year JPMorgan Chase partnered with Red Hat to create Apache Qpid, initially in Java and soon after C++. List of components Apache Qpid consists of a set of messaging APIs, servers and tools. See also *Message-oriented middleware *Enterprise Messaging System *Enterprise Integration Patterns *Service-oriented architecture *Event-driven SOA References External ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cross-platform
In computing, cross-platform software (also called multi-platform software, platform-agnostic software, or platform-independent software) is computer software that is designed to work in several computing platforms. Some cross-platform software requires a separate build for each platform, but some can be directly run on any platform without special preparation, being written in an interpreted language or compiled to portable bytecode for which the interpreters or run-time packages are common or standard components of all supported platforms. For example, a cross-platform application may run on Microsoft Windows, Linux, and macOS. Cross-platform software may run on many platforms, or as few as two. Some frameworks for cross-platform development are Codename One, Kivy, Qt, Flutter, NativeScript, Xamarin, Phonegap, Ionic, and React Native. Platforms ''Platform'' can refer to the type of processor (CPU) or other hardware on which an operating system (OS) or applicatio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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