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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.
The xOpera includes Opera orchestrator (Python library [11]), a lightweight, open-source and state-aware orchestrator based on Ansible and TOSCA Simple Profile in YAML v1.3. The project also includes a tool, called Template Library Publishing Service, [ 12 ] for publishing TOSCA components and templates.
YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).
In this example, the parameter is the Amazon S3 bucket's name. Resources: Lists the AWS resources to be created. Here, it specifies the creation of an Amazon S3 bucket. Outputs: Defines the values to be returned after the stack is created. In this case, it returns the Amazon Resource Name (ARN) of the created S3 bucket.
Jenkins is an open source automation server.It helps automate the parts of software development related to building, testing, and deploying, facilitating continuous integration, and continuous delivery.
It uses YAML files to configure the application's services and performs the creation and start-up process of all the containers with a single command. The docker compose CLI utility allows users to run commands on multiple containers at once; for example, building images, scaling containers, running containers that were stopped, and more. [30]
Infrastructure as code (IaC) is the process of managing and provisioning computer data center resources through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools. [1]
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.