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Canigó's architecture is based on Model–View–Controller. There is an abstraction process that allows the division of the application logics in three main components able to be developed by different roles of a team. Actually Canigó's architecture, as a MVC structured framework, is divided in 3 layers and 4 cross-cutting modules: Layers
A write ahead log is an append-only auxiliary disk-resident structure used for crash and transaction recovery. The changes are first recorded in the log, which must be written to stable storage, before the changes are written to the database. [2] The main functionality of a write-ahead log can be summarized as: [3]
The Graylog software centrally captures, stores, and enables real-time search and log analysis against terabytes of machine data from any component in the IT infrastructure and applications. [ 13 ] [ 2 ] The software uses a three-tier architecture and scalable storage based on OpenSearch and MongoDB .
MongoDB is also available as an on-demand, fully managed service. MongoDB Atlas runs on AWS, Microsoft Azure and Google Cloud Platform. [45] On March 10, 2022, MongoDB warned its users in Russia and Belarus that their data stored on the MongoDB Atlas platform will be destroyed as a result of American sanctions related to the Russo-Ukrainian War ...
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.
Amazon DocumentDB is a managed proprietary NoSQL database service that supports document data structures, with some compatibility with MongoDB version 3.6 (released by MongoDB in 2017) and version 4.0 (released by MongoDB in 2018).
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:
In computing, logging is the act of keeping a log of events that occur in a computer system, such as problems, errors or just information on current operations. These events may occur in the operating system or in other software.
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