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Google App Engine primarily supports Go, PHP, Java, Python, Node.js, .NET, and Ruby applications, although it can also support other languages via "custom runtimes". [ 4 ] Python web frameworks that run on Google App Engine include Django , CherryPy , Pyramid , Flask , and web2py as well as a Google-written web app framework and several others ...
This streamlines the application development and deployment process by automating the creation of App Runner services, managing them through Infrastructure as Code (IaC), and using familiar programming languages to define their infrastructure. The AWS CDK offers L1 support for AWS App Runner, corresponding to the low-level constructs.
PythonAnywhere is an online integrated development environment (IDE) and web hosting service (Platform as a service) based on the Python programming language. [1] Founded by Giles Thomas and Robert Smithson in 2012, it provides in-browser access to server-based Python and Bash command-line interfaces, along with a code editor with syntax highlighting.
Django (/ ˈ dʒ æ ŋ ɡ oʊ / JANG-goh; sometimes stylized as django) [6] is a free and open-source, Python-based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern .
Google Workspace Marketplace (formerly Google Apps Marketplace and then G Suite Marketplace), launched in 2010, [85] [86] is an online store with business-oriented cloud applications that augment G Suite functionality. The Marketplace lets administrators browse for, purchase, and deploy integrated cloud applications. [87]
In April 2008, Google announced App Engine, a platform for developing and hosting web applications in Google-managed data centers, which was the first cloud computing service from the company. The service became generally available in November 2011. Since the announcement of App Engine, Google added multiple cloud services to the platform.
Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]
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]