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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.
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 ...
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 ...
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 ...
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 ...
Ystia Orchestrator (Yorc) is an open-source TOSCA orchestration engine. It aims to support the whole application lifecycle, from deployment, scaling, monitoring, self-healing, self-scaling to application upgrade, over hybrid infrastructures (IaaS, HPC schedulers, CaaS).
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 ...
Examples of distributed systems vary from SOA-based systems to microservices to massively multiplayer online games to peer-to-peer applications. Distributed systems cost significantly more than monolithic architectures, primarily due to increased needs for additional hardware, servers, gateways, firewalls, new subnets, proxies, and so on. [4]