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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. Kubernetes - Wikipedia

    en.wikipedia.org/wiki/Kubernetes

    Kubernetes (/ ˌ k (j) uː b ər ˈ n ɛ t ɪ s,-ˈ n eɪ t ɪ s,-ˈ n eɪ t iː z,-ˈ n ɛ t iː z /, K8s) [3] is an open-source container orchestration system for automating software deployment, scaling, and management.

  4. Cloud Native Computing Foundation - Wikipedia

    en.wikipedia.org/wiki/Cloud_Native_Computing...

    In 2017, CNCF also helped the Linux Foundation launch a free Kubernetes course on the EdX platform [104] — which has more than 88,000 enrollments. [105] The self-paced course covers the system architecture, the problems Kubernetes solves, and the model it uses to handle containerized deployments and scaling.

  5. Hyperscale computing - Wikipedia

    en.wikipedia.org/wiki/Hyperscale_computing

    In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. This typically involves the ability to seamlessly provide and add compute, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment.

  6. Twelve-Factor App methodology - Wikipedia

    en.wikipedia.org/wiki/Twelve-Factor_App_methodology

    Concurrency is advocated by scaling individual processes. IX: Disposability: Fast startup and shutdown are advocated for a more robust and resilient system. X: Dev/Prod parity: All environments should be as similar as possible. XI: Logs: Applications should produce logs as event streams and leave the execution environment to aggregate. XII ...

  7. Scale cube - Wikipedia

    en.wikipedia.org/wiki/Scale_cube

    The scale cube is a technology model that indicates three methods (or approaches) by which technology platforms may be scaled to meet increasing levels of demand upon the system in question. The three approaches defined by the model include scaling through replication or cloning (the “X axis”), scaling through segmentation along service ...

  8. Autoscaling - Wikipedia

    en.wikipedia.org/wiki/Autoscaling

    Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing that dynamically adjusts the amount of computational resources in a server farm - typically measured by the number of active servers - automatically based on the load on the farm. For example, the number of ...

  9. OpenSAF - Wikipedia

    en.wikipedia.org/wiki/Opensaf

    OpenSAF is the most complete implementation of the SAF AIS specifications, providing a platform for automating deployment, scaling, and operations of application services across clusters of hosts. [4] It works across a range of virtualization tools and runs services in a cluster, often integrating with JVM, Vagrant, and/or Docker runtimes ...