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  2. Microservices - Wikipedia

    en.wikipedia.org/wiki/Microservices

    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 ...

  3. Cloud database - Wikipedia

    en.wikipedia.org/wiki/Cloud_database

    A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.

  4. OpenSAF - Wikipedia

    en.wikipedia.org/wiki/Opensaf

    Academic and industry groups have independently published books describing OpenSAF-based solutions. [2] [11] A growing body of research in service availability is accelerating the development of OpenSAF features supporting mission-critical cloud and microservices deployments, and service orchestration. [12] [13] OpenSAF 1.0 was released January ...

  5. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    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

  6. AWS Lambda - Wikipedia

    en.wikipedia.org/wiki/AWS_Lambda

    [14] In Lambda-based applications, the line between the infrastructure and business logic is blurred and the apps are usually spread across various services. According to Yan Cui, to get the most value from testing efforts, Lambda-based applications should be tested mainly for their integrations, and unit tests should be used only if there is a ...

  7. Kubernetes - Wikipedia

    en.wikipedia.org/wiki/Kubernetes

    This is a general purpose, web-based UI for Kubernetes clusters. It allows administrators to manage and troubleshoot applications running in the cluster, as well as the cluster itself. Resource monitoring Container Resource Monitoring records metrics about containers in a central database, and provides a UI for browsing that data. Cost monitoring

  8. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]

  9. Microsoft Azure SQL Database - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

    Relational data storage for cloud-based applications and websites; Business and consumer web and mobile apps; Manage databases for multi-tenant apps (software-as-a-service) Quickly create dev and test databases to speed up development cycles; Scale production business services quickly and at a known cost