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In software engineering, a microservice architecture is an architectural pattern that organizes an application into a collection of loosely coupled, fine-grained services that communicate through lightweight protocols. This pattern is characterized by the ability to develop and deploy services independently, improving modularity, scalability ...
The Twelve Factors [1] [2]; Factor Description I: Codebase: There should be exactly one codebase for a deployed service with the codebase being used for many deployments.
ServiceComb: microservice framework that provides a set of tools and components to make development and deployment of cloud applications easier; ServiceMix: enterprise service bus that supports JBI and OSGi; ShardingSphere: related to a database clustering system providing data sharding, distributed transactions, and distributed database management
Cloud computing architecture refers to the components and subcomponents required for cloud computing. These components typically consist of a front end platform (fat client, thin client, mobile), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud).
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]
SaaS use began around 2000, and by 2023 was the main form of software application deployment. SaaS is usually accessed via a web application . Unlike most self-hosted software products, only one version of the software exists [ citation needed ] and only one operating system and configuration is supported.
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.
Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]