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Kubernetes defines a set of building blocks ("primitives") that collectively provide mechanisms that deploy, maintain, and scale applications based on CPU, memory [29] or custom metrics. [30] Kubernetes is loosely coupled and extensible to meet the needs of different workloads.
Quarkus [3] [4] [5] is a Java framework tailored for deployment on Kubernetes.Key technology components surrounding it are OpenJDK HotSpot and GraalVM.Quarkus aims to make Java a leading platform in Kubernetes and serverless environments while offering developers a unified reactive and imperative programming model to address a wider range of distributed application architectures optimally.
The Kubernetes ingress concept was modeled after this. [11] OpenShift includes other software such as application runtimes as well as infrastructure components from the Kubernetes ecosystem. For example, for observability needs, Prometheus, Fluentd, Vector, Loki, and Istio (and their dependencies) are included. The Red Hat branding of Istio is ...
OpenNebula is an open source cloud computing platform for managing heterogeneous data center, public cloud and edge computing infrastructure resources. OpenNebula manages on-premises and remote virtual infrastructure to build private, public, or hybrid implementations of infrastructure as a service (IaaS) and multi-tenant Kubernetes deployments.
In that case, the upper layers of the ETSI NFV MANO architecture (i.e. the NFVO and VNFM) cooperate with a container infrastructure service management (CISM) function [5] that is typically implemented using cloud-native orchestration solutions (e.g. Kubernetes). The characteristics of cloud-native network functions are: [6] [7]
Using multiple deployments and services, Kubernetes allows operators to manage traffic routing between blue and green environments with minimal risk of service interruptions. Tools like ArgoCD or Spinnaker further enhance automation by integrating deployment pipelines directly with Kubernetes clusters. [8]
Kubernetes is an open-source job control system invented by Google to abstract away the infrastructure so that open-source (e.g. Docker) containerized applications can run on many types of infrastructure, such as Amazon Web Services, Microsoft Azure, and others.
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 ...