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Applications written in Go, PHP, Java, Python, Node.js, .NET, and Ruby are supported by the App Engine, and other languages can be supported at an additional cost. [4] The free version of the service offers a standard environment with limited resources. Fees are charged for additional storage, bandwidth, or instance hours. [5]
Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [5]
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.
It also expanded the OS support, enabled live migration of VMs, 16-core instances, faster persistent disks and lowered the price of standard instances. At the Google Cloud Platform Live event on March 25, 2014, Urs Hölzle , Senior VP of technical infrastructure announced sustained usage discounts, support for Microsoft Windows Server 2008 R2 ...
The four classes, Multi-Regional Storage, Regional Storage, Nearline Storage, and Coldline Storage, differ in their pricing, minimum storage durations, and availability. [5] Interoperability - Google Cloud Storage is interoperable with other cloud storage tools and libraries that work with services such as Amazon S3 and Eucalyptus Systems. [6]
Originally released as a feature in Google App Engine in 2008, [4] Cloud Datastore was announced as a standalone product in 2013 during Google I/O. [5] In 2018 at the Google Cloud Next conference, the second-generation Firestore database was opened to general availability, with a backward-compatibility mode. [6]
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.
Google Cloud Dataflow was announced in June, 2014 [3] and released to the general public as an open beta in April, 2015. [4] In January, 2016 Google donated the underlying SDK, the implementation of a local runner, and a set of IOs (data connectors) to access Google Cloud Platform data services to the Apache Software Foundation. [5]