Google App Engine

This is an overview presentation on Google App Engine. This was given at the Google hackathon @ SXSW Interactive, 2010. bit.ly/googlehackathonsxsw bit.ly/gcodelabs

Google App Engine is a platform as a service that allows developers to build and host web applications at scale on Google's infrastructure. It handles all the complexities of scaling such as automatically increasing the number of application instances in response to traffic. Developers can write code in Python and other languages and App Engine provides APIs for common services like email, storage, databases and more so additional setup is not needed. It also automatically sends code to the nearest data center based on user location for fast performance.

The document introduces Google App Engine (GAE). It discusses that GAE allows developers to build applications that run on Google's infrastructure, providing scalability and efficiency. It also overview cloud computing concepts and GAE's features like dynamic web applications, data storage, and additional services. Finally, it provides a toy example of a GAE application and how to develop applications using the Python SDK.

This document provides an overview of Google App Engine, a platform for hosting web applications on Google's infrastructure. It discusses the basics of cloud computing, how App Engine compares to other platforms like Amazon EC2 and Rackspace, and the technology stack and limitations of developing applications on App Engine, including its use of Python and Java, databases like BigTable, and pricing and administration tools. It concludes by recommending giving App Engine a try and provides some example applications and additional resources.

Introduction to Google App Engine talk delivered 2010 Jul 16 at EuroPython in Birmingham, UK and 2010 Jul 22 at the GTUG in London by Wesley Chun, Developer Advocate for Google.

Google App Engine - Platform for Cloud Computing .Presented on Aug 23,2008 at HYSEA Conference on Cloud Computing held at Google Hyderabad

Concepts of App Engine along with learning resources provided. Go through the brief features and pricing of Google App Engine.

Roundtable discussion at MediaCamp2, Athens Greece mcgr more on this session at http://wiki.mediacamp.gr/MediaCamp2GoogleApplicationEngineSession

Google App Engine tutorial for Java. Demonstrates how to open an account, setup a connection between your server and an Android app and some more features of GAE.

Presentation copy of Google App Engine with hands-on presented at Cloud Computing Workshop at VTU,2014. Explored the fundamentals of Google App Engine and its features. Also covers the instructions to set GAE locally and later to deploy on appengine.

The document discusses various Platform as a Service (PaaS) offerings, including Google App Engine. It provides an overview of PaaS, describing it as a category of cloud computing services that provides a computing platform and solution stack. Popular PaaS offerings mentioned include Heroku, Windows Azure, dotCloud, Cloud Foundry, Engine Yard, and Google App Engine. For each, it briefly outlines their key features and technologies.

The document discusses Cloud Computing and Google App Engine. It defines Cloud Computing as providing virtual computer resources over the internet. Google App Engine is described as a Platform-as-a-Service that allows developers to build and host scalable web applications on Google's infrastructure. Key features of Google App Engine include automatic scaling, data storage, and developer tools for deployment and management. The document also compares Google App Engine to Amazon Web Services, noting App Engine has advantages of transparency and ease of use while AWS provides more flexibility and customization options.

This document discusses Google App Engine, including its architecture as a platform-as-a-service that allows building and hosting web apps on Google's infrastructure, providing automatic scaling, load balancing, and a datastore. It outlines advantages like ease of use, scalability and lower costs, as well as challenges around dependence on Google and potential lock-in. The document concludes by noting Google App Engine's growth but also increased competition in the platform-as-a-service market.

This document provides an introduction and overview of Google App Engine (GAE). It discusses what GAE is, the benefits of using it, and how to get started developing applications on GAE using languages like Python and Java. It also covers how to authenticate GAE apps using Google authentication, call the Google Calendar API, and use Google Cloud SQL for databases. The goal is to explain the basics of the GAE platform and services to help developers build scalable apps.

Google App Engine is a cloud development platform that allows users to build and host web applications on Google's infrastructure. It provides automatic scaling for applications and manages all server maintenance. Development is done locally in Python and code is pushed to the cloud. The platform provides data storage, user authentication, URL fetching, task queues, and other services via APIs. While initially limited to Python and Java, it now supports other languages as well. Usage is free for small applications under a monthly quota, and priced based on usage for larger applications.

Part I: Introduction to Cloud Computing - What is Cloud Computing? - Classification of Cloud Computing Part II: Introduction to Google App Engine - What is Google App Engine? - Why Google App Engine? - Core APIs & Language Support - Google App Engine for Business - Google App Engine Customers - Q&A

This document provides an overview of Google App Engine, including what cloud computing is, the different types of cloud computing models, how App Engine provides a scalable infrastructure, the programming languages and frameworks supported, how data is stored and accessed via the datastore, services available on App Engine like caching, task queues, and mail, and tips for testing and deploying App Engine applications.

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Django is a Python-based web framework that allows for rapid development of complex, database-driven websites. It was developed by a newspaper company and released publicly in 2005 under a BSD license. Django aims to reduce duplication through reusability of code and components like its model-template-view architecture, administration interface, authentication system, and generic class-based views. It includes features like pluggable applications, deployment options via WSGI or mod_python, and scalability.

How to Turn a Pile of Python Files Into an Open Source Project. You have written some Python code, you think it would be useful to the world, and you would like to give back to the open source world. But where do you start? This talk will give you some guidance on how you can release your project

App Engine offers developers the opportunity to deploy systems on Google's robust and scalable server-farms. App Engine provides a higher-level platform than Amazon Web Services,with automated scaling and true pay-per-use billing. The poster-child of App Engine, "BuddyPoke", has gained over thirty million users. With App Engine, Google has released the first public API to BigTable, its planetary datastore, which performs successfully at petabyte scale across diverse applications from search to finance to Google Earth. This presentation will cover App Engine's features and limitations, and how to exploit this new and evolving platform.

This document discusses using various technologies on Google App Engine including JIQL, GaeVFS, RESTlets, scheduled tasks, JRuby on Rails, task queues, XMPP, and Clojure. JIQL emulates a relational database on App Engine's Bigtable datastore. GaeVFS provides a virtual filesystem on Bigtable. RESTlets make RESTful web services easy to implement in Java on App Engine. Scheduled tasks allow for background processing via cron jobs. JRuby on Rails provides a way to run Ruby on Rails applications on App Engine. Task queues allow for asynchronous background processing. XMPP enables instant messaging and peer-to-peer applications. Clojure can also be used