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A description of the parameters and scripts used when launching a new instance. This includes the instance type, purchase options (such as spot versus on-demand in the case of AWS), possible availability zones for launch, machine image, and scripts to run on launch: Instance template (Google Cloud Platform) Manual scaling
While BOSH was initially developed by VMware in 2010 to deploy Cloud Foundry PaaS, it can be used to deploy other software (such as Hadoop, RabbitMQ, or MySQL for instance). BOSH is designed to manage the whole lifecycle of large distributed systems.
The Template:Cloud computing links to articles related to different layers specific to cloud computing. It should have a small number (5-10) of the best available examples of each layer as its purpose is to illustrate by example rather than to advertise products and services.
Google Cloud Shell is an online, browser-based command-line environment provided by Google Cloud Platform (GCP). It is a Debian-based virtual machine with a persistent 5 GB home directory, allowing users to manage their GCP resources and projects directly from their web browser.
2016: Support for YAML formatted templates was introduced, in addition to the original JSON format, offering users more options when creating templates. [20] 2018: AWS CloudFormation Drift Detection was launched, allowing users to detect when their stack resources have drifted from their expected configurations. This feature helps users ...
Google Compute Engine offers sustained use discounts. Once an instance is run for over 25% of a billing cycle, the price starts to drop: If an instance is used for 50% of the month, one will get a 10% discount over the on-demand prices; If an instance is used for 75% of the month, one will get a 20% discount over the on-demand prices
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Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
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