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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.
The AWS Cloud Development Kit (AWS CDK) introduced support for AWS App Runner in August 2021, enabling developers to define and deploy App Runner services using the AWS CDK. [5] This streamlines the application development and deployment process by automating the creation of App Runner services, managing them through Infrastructure as Code (IaC ...
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
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]
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).
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.
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.