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It is common for microservices architectures to be adopted for cloud-native applications, serverless computing, and applications using lightweight container deployment. . According to Fowler, because of the large number (when compared to monolithic application implementations) of services, decentralized continuous delivery and DevOps with holistic service monitoring are necessary to ...
An Nginx architect argued that the relevance of the Twelve-Factor app concept is somewhat specific to Heroku, while introducing their own (Nginx's) proposed architecture for microservices. [3] The twelve factors are however cited as a baseline from which to adapt or extend.
Integration platform as a service (iPaaS) is a suite of cloud services enabling customers to develop, execute and govern integration flows between disparate applications. [2] Under the cloud-based iPaaS integration model, customers drive the development and deployment of integrations without installing or managing any hardware or middleware. [1]
Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a cloud computing service model where users provision, instantiate, run and manage a modular bundle of a computing platform and applications, without the complexity of building and maintaining the infrastructure associated with developing and launching application(s), and to allow developers ...
Application-release automation (ARA) refers to the process of packaging and deploying an application or update of an application from development, across various environments, and ultimately to production. [1] ARA solutions must combine the capabilities of deployment automation, environment management and modeling, and release coordination. [2]
In an environment in which data-centric microservices provide the functionality, and where the microservices can have multiple instances, continuous deployment consists of instantiating the new version of a microservice and retiring the old version once it has drained all the requests in flight. [7] [8] [9]
RapidMiner uses a client/server model with the server offered either on-premises or in public or private cloud infrastructures.. RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.
Business process discovery (BPD) related to business process management and process mining is a set of techniques that manually or automatically construct a representation of an organisations' current business processes and their major process variations. These techniques use data recorded in the existing organisational methods of work ...