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Node.js – implements Google's V8 engine as a standalone (outside the browser) asynchronous Javascript interpreter. A vigorous open-source developer community on GitHub has implemented many supporting products, notably npm for package management and Connect and Express app server layers.
PL-SQL-Logging-Utility is an adaptation of log4j in PL/SQL. [38] Log4db2 is a logging utility for DB2 for LUW that uses SQL instructions with SQL PL code. [39]
Middleware is a type of computer software program that provides services to software applications beyond those available from the operating system. It can be described as "software glue". [1] [2] Middleware makes it easier for software developers to implement communication and input/output, so they can focus on the specific purpose of their ...
Express.js, or simply Express, is a back end web application framework for building RESTful APIs with Node.js, released as free and open-source software under the MIT License. It is designed for building web applications and APIs. [2] It has been called the de facto standard server framework for Node.js. [3]
Haluka (or Haluka.js), is a discontinued [1] lightweight node.js web framework for rapid development which makes building applications simpler and faster. It includes hassle-free setup procedure for all sorts of projects from prototype to enterprise-grade solutions and APIs.
MEAN (MongoDB, Express.js, AngularJS (or Angular), and Node.js) [1] is a source-available JavaScript software stack for building dynamic web sites and web applications. [2] A variation known as MERN replaces Angular with React.js front-end, [3] [4] and another named MEVN use Vue.js as front-end.
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.
In computer log management and intelligence, log analysis (or system and network log analysis) is an art and science seeking to make sense of computer-generated records (also called log or audit trail records). The process of creating such records is called data logging. Typical reasons why people perform log analysis are: