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This template has the following sections: AWSTemplateFormatVersion: Specifies the CloudFormation template version. Description: Provides a brief description of the template. Parameters: Defines input parameters for the template. In this example, the parameter is the Amazon S3 bucket's name. Resources: Lists the AWS resources to be created. Here ...
The AWS CloudFormation template is a JSON data standard to allow cloud application administrators to define a collection of related AWS resources. CloudFormation is a proprietary format from AWS, that is not TOSCA based, and therefore does not bring the promise OASIS TOSCA is targeting. Check this grammar [7] compared to the OASIS TOSCA one . [8]
A Kubernetes service is a set of pods that work together, such as one tier of a multi-tier application. The set of pods that constitute a service are defined by a label selector. [32] Kubernetes provides two modes of service discovery, using environment variables or using Kubernetes DNS. [59]
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.).
Google Kubernetes Engine (GKE) or GKE on-prem offered as part of Anthos platform [11] [12] – Containers as a Service based on Kubernetes. Cloud Functions – Functions as a Service to run event-driven code written in Node.js, Java, Python, or Go. Cloud Run – Compute execution environment based on Knative. [13]
YAML (Yet Another Multicolumn Layout) is a cross-browser CSS framework. [2] [3] It allows web designers to create a low-barrier website with comparatively little effort. Integrations of the YAML layouts have been created for various content management systems. These include WordPress, LifeType, TYPO3, Joomla, xt: Commerce and Drupal. [4]
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]
For example, to minimize downtime, a user can set up server instances in multiple zones that are insulated from each other for most causes of failure such that one backs up the other. Higher-availability database services, like Amazon Relational Database Service run separately from EC2 instances.