A review and update presentation on Google App Engine's latest features up through version 1.5.3 and including new experimental features. This presentation was given to the San Diego GTUG on Aug 26, 2011.
Google App Engine is a platform for building and hosting web applications in Google's cloud. It allows developers to build, run, and maintain applications without having to manage infrastructure. Some key features include automatic scaling for traffic, simple administration, and a free usage tier. Over 250,000 developers have built over 250 million apps on App Engine using languages including Java, Python, PHP and JavaScript.
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.
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
ย
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
The document discusses Google App Engine (GAE), a platform as a service (PaaS) offering from Google Cloud Platform. It provides an overview of cloud computing models including infrastructure as a service (IaaS), PaaS, and software as a service (SaaS). GAE allows developers to build and host web applications on Google's infrastructure and supports applications written in Python, Java, Go, and PHP. Examples of using GAE to host websites and build applications using Google Maps are also presented.
Platform as a service google app engineDeepu S Nath
ย
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.
Google App Engine is a PaaS that allows developers to build and deploy web applications in the cloud without having to manage servers or databases. It provides automatic scaling, high availability, and free usage up to certain quotas. Developers use the App Engine SDK to build and test applications locally before deploying them to Google's infrastructure where App Engine services like Datastore, Memcache, and Google Accounts handle scaling and management.
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.
Google App Engine is a platform as a service (PaaS) released by Google in 2008 that allows users to build and host web applications in Google's infrastructure. It provides automatic scaling, load balancing, data storage and APIs for common services like user authentication. Developers code applications using languages like Java or Python and deploy them without having to worry about provisioning servers, running databases or managing middleware. The platform handles tasks like code and traffic management automatically behind the scenes.
Google App Engine is a platform that allows developers to run web applications on Google's infrastructure. It provides automatic scaling, load balancing, data storage with queries and transactions, user authentication with Google Accounts, and scheduling of tasks. Developers can use popular programming languages like Python, PHP, Java, and Go. The platform offers a NoSQL data store, a relational SQL database, and cloud storage for large files. It also includes an admin console and documentation to get started with a "Hello World" Python app.
Google App Engine is cloud computing technology. Google App Engine is software that facilitates the user to run his web applications on Google infrastructure
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
Google App Engine allows users to develop and run web applications on Google's infrastructure without having to manage servers. It provides automatic scaling, a data store based on BigTable, user authentication through Google accounts, and scheduled tasks. Applications run in a secure sandbox and are only able to access other computers through HTTP and email. The SDK allows local development and testing before deploying apps to Google's servers from Windows or Mac computers.
Google App Engine allows users to host web applications on Google's infrastructure without having to maintain servers or databases. It provides automatic scaling, free quotas for storage and bandwidth usage, and a simple deployment process. The document provides an overview of App Engine, including how to get started, the services it offers like Datastore and Memcache, and best practices for building scalable applications on the platform.
Apps are software programs that run on devices like phones, computers, or online. Google Apps are a suite of online services and applications provided by Google. Google App Engine allows developers to host web applications on Google's servers and infrastructure. It provides automatic scaling, high availability, security, and is easy to use. Developers can get started for free with App Engine and pay only for additional resources needed beyond free usage limits.
Google App Engine is a platform as a service that allows developers to build and host web applications in Google's data centers. It offers automatic scaling so that as traffic to an application increases, more resources are allocated to handle the demand. Development is done using Google's SDK and applications are run in a sandbox and across multiple servers for security and scalability. It provides APIs and services like data storage, mail sending, and user authentication. While initially limited in languages and capabilities, Google App Engine has expanded over time to support more languages and features like scheduled jobs and large file uploads.
Google App Engine is a platform as a service (PaaS) cloud computing platform for developing and hosting web applications in Google-managed data centers.
Developing Java Web Applications In Google App EngineTahir Akram
ย
The document provides an overview of developing Java-based web applications using Google App Engine. It discusses the key features and services of GAE including the runtime environment, datastore, memcache, mail, task queues, images, cron jobs, and user authentication. It also covers limitations, demo examples, and resources for learning more.
Roundtable discussion at MediaCamp2, Athens Greece mcgr
more on this session at
http://wiki.mediacamp.gr/MediaCamp2GoogleApplicationEngineSession
Cloud Computing Bootcamp On The Google App Engine v1.2.1Matthew McCullough
ย
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.
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.
Mr. Suraj Mehta submitted a seminar report on "Google App Engine" to the Department of Computer Engineering at KJ's Educational Institute in Pune, India. The report provides an overview of Google App Engine, including how it works, its storage management, development workflow, quotas and limits, and a proposed framework for using App Engine for parameter studies. It also discusses advantages, disadvantages, and compares App Engine to other cloud platforms. The seminar guide and HOD of the Computer Engineering department certified that Mehta satisfactorily completed the report as required.
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.
This document discusses cloud computing and Google App Engine. It provides an overview of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) and examples of each from Google. Google App Engine is described as a platform built on Google's infrastructure that allows hosting web applications and provides APIs, runtimes including Python, Java, and Go, and other features like caching and email sending. Limitations of App Engine are also listed such as not having native threads or sockets.
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.
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.
Building Integrated Applications on Google's Cloud TechnologiesChris Schalk
ย
This is the presentation "Building Integrated Applications on Google's Cloud Technologies" that was given at GDD 2011 #gdd11 in Sao Paulo and Buenos Aires by Google Developer Advocate Chris Schalk @cschalk.
Google App Engine is a platform for building and hosting web applications in Google's cloud. It provides developers with services like the Datastore, Memcache, and URL Fetch and scales automatically based on traffic. The platform supports Java, Python, and other languages. Google App Engine is always free to get started for small usage levels and scales up as applications grow. It aims to reduce the maintenance burden for developers by handling tasks like code and traffic management.
Google App Engine is a platform as a service (PaaS) released by Google in 2008 that allows users to build and host web applications in Google's infrastructure. It provides automatic scaling, load balancing, data storage and APIs for common services like user authentication. Developers code applications using languages like Java or Python and deploy them without having to worry about provisioning servers, running databases or managing middleware. The platform handles tasks like code and traffic management automatically behind the scenes.
Google App Engine is a platform that allows developers to run web applications on Google's infrastructure. It provides automatic scaling, load balancing, data storage with queries and transactions, user authentication with Google Accounts, and scheduling of tasks. Developers can use popular programming languages like Python, PHP, Java, and Go. The platform offers a NoSQL data store, a relational SQL database, and cloud storage for large files. It also includes an admin console and documentation to get started with a "Hello World" Python app.
Google App Engine is cloud computing technology. Google App Engine is software that facilitates the user to run his web applications on Google infrastructure
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
Google App Engine allows users to develop and run web applications on Google's infrastructure without having to manage servers. It provides automatic scaling, a data store based on BigTable, user authentication through Google accounts, and scheduled tasks. Applications run in a secure sandbox and are only able to access other computers through HTTP and email. The SDK allows local development and testing before deploying apps to Google's servers from Windows or Mac computers.
Google App Engine allows users to host web applications on Google's infrastructure without having to maintain servers or databases. It provides automatic scaling, free quotas for storage and bandwidth usage, and a simple deployment process. The document provides an overview of App Engine, including how to get started, the services it offers like Datastore and Memcache, and best practices for building scalable applications on the platform.
Apps are software programs that run on devices like phones, computers, or online. Google Apps are a suite of online services and applications provided by Google. Google App Engine allows developers to host web applications on Google's servers and infrastructure. It provides automatic scaling, high availability, security, and is easy to use. Developers can get started for free with App Engine and pay only for additional resources needed beyond free usage limits.
Google App Engine is a platform as a service that allows developers to build and host web applications in Google's data centers. It offers automatic scaling so that as traffic to an application increases, more resources are allocated to handle the demand. Development is done using Google's SDK and applications are run in a sandbox and across multiple servers for security and scalability. It provides APIs and services like data storage, mail sending, and user authentication. While initially limited in languages and capabilities, Google App Engine has expanded over time to support more languages and features like scheduled jobs and large file uploads.
Google App Engine is a platform as a service (PaaS) cloud computing platform for developing and hosting web applications in Google-managed data centers.
Developing Java Web Applications In Google App EngineTahir Akram
ย
The document provides an overview of developing Java-based web applications using Google App Engine. It discusses the key features and services of GAE including the runtime environment, datastore, memcache, mail, task queues, images, cron jobs, and user authentication. It also covers limitations, demo examples, and resources for learning more.
Roundtable discussion at MediaCamp2, Athens Greece mcgr
more on this session at
http://wiki.mediacamp.gr/MediaCamp2GoogleApplicationEngineSession
Cloud Computing Bootcamp On The Google App Engine v1.2.1Matthew McCullough
ย
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.
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.
Mr. Suraj Mehta submitted a seminar report on "Google App Engine" to the Department of Computer Engineering at KJ's Educational Institute in Pune, India. The report provides an overview of Google App Engine, including how it works, its storage management, development workflow, quotas and limits, and a proposed framework for using App Engine for parameter studies. It also discusses advantages, disadvantages, and compares App Engine to other cloud platforms. The seminar guide and HOD of the Computer Engineering department certified that Mehta satisfactorily completed the report as required.
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.
This document discusses cloud computing and Google App Engine. It provides an overview of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) and examples of each from Google. Google App Engine is described as a platform built on Google's infrastructure that allows hosting web applications and provides APIs, runtimes including Python, Java, and Go, and other features like caching and email sending. Limitations of App Engine are also listed such as not having native threads or sockets.
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.
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.
Building Integrated Applications on Google's Cloud TechnologiesChris Schalk
ย
This is the presentation "Building Integrated Applications on Google's Cloud Technologies" that was given at GDD 2011 #gdd11 in Sao Paulo and Buenos Aires by Google Developer Advocate Chris Schalk @cschalk.
Google App Engine is a platform for building and hosting web applications in Google's cloud. It provides developers with services like the Datastore, Memcache, and URL Fetch and scales automatically based on traffic. The platform supports Java, Python, and other languages. Google App Engine is always free to get started for small usage levels and scales up as applications grow. It aims to reduce the maintenance burden for developers by handling tasks like code and traffic management.
Cisco Pulse Media Analytics: Connecting The Human Network @ WorkTony Frazier
ย
This document discusses Cisco Pulse, a media analytics product. It describes how Cisco Pulse can help discover expertise within an organization by analyzing employee media such as emails, documents, and videos. Cisco Pulse builds a social graph and can help improve collaboration. It also provides search and analytics capabilities to help employees find and access valuable expertise and media across boundaries.
The document defines cloud computing and its types. It discusses advantages like lower costs and improved performance. Disadvantages include security concerns and reliance on a constant internet connection. A case study of Google App Engine is presented, which allows users to run web applications on Google's infrastructure with automatic scaling. In conclusion, challenges of cloud computing are identified, such as data ownership and control issues when changing providers.
The document summarizes two papers about MapReduce frameworks for cloud computing. The first paper describes Hadoop, which uses MapReduce and HDFS to process large amounts of distributed data across clusters. HDFS stores data across cluster nodes in a fault-tolerant manner, while MapReduce splits jobs into parallel map and reduce tasks. The second paper discusses P2P-MapReduce, which allows for a dynamic cloud environment where nodes can join and leave. It uses a peer-to-peer model where nodes can be masters or slaves, and maintains backup masters to prevent job loss if the primary master fails.
This document discusses several popular Platform as a Service (PaaS) providers: Google Cloud Platform allows creating and managing scalable apps using Google's systems; Windows Azure is Microsoft's PaaS for building web apps and services on a global Microsoft infrastructure; Engine Yard is a PaaS that helps develop apps more quickly using programming expertise and infrastructure tools; AWS Elastic Beanstalk automatically deploys and manages apps on AWS; LongJump provides customizable web apps for businesses on a PaaS; OpenShift is Red Hat's free auto-scaling PaaS for various programming languages; and Cloud Foundry is an open-source PaaS that supports multiple clouds and frameworks.
Presentation of a seminar paper (cloud computing seminar at University of Stuttgart 2011). Contains a description of cloud platforms, their significance and a small market overview.
Windows Azure is an open and flexible cloud computing platform that allows users to build, deploy, and manage applications and services through Microsoft's global network of datacenters. It provides compute, network, storage and application services that allow users to build applications using any language, tool or framework. The platform offers advantages of speed, scale and lower costs compared to traditional application development models. Key services include virtual machines, web sites, cloud services, SQL and NoSQL data storage, media services and more.
An overview and update presentation on Google App Engine given by Google Developer Advocate Christian Schalk at the 2011 DevFest Singapore and Jakarta events. Developer Advocate Wesley Chun also participated in the Q&A.
Building Enterprise Applications on Google Cloud Platform Cloud Computing Exp...Chris Schalk
ย
This is a presentation given by Google Developer Advocate Chris Schalk at Cloud Expo in NYC on June 8th 2011 on building enterprise applications with Google's Cloud Platform.
Google App Engine Overview - BarCamp Phnom Penh 2011traactivity
ย
Guy Flysher gave a presentation on Google App Engine at Barcamp Phnom Penh 2011. He began with an introduction of himself and his work at Google. The agenda included explaining what App Engine is, how to use App Engine products, and demonstrating how to use App Engine through a hello world example and code samples. He discussed key App Engine services like Datastore, URL Fetch, Mail, and Images. He also showed how App Engine can be used for non-web applications through backend processing. Finally, he demonstrated sending chat messages and emails using the XMPP and Mail services.
These slides are made for the 2013 DevFest talks. It covers the main blocks of Google cloud platform: App engine, Compute Engine, storage options and more.
Google Cloud Computing for Java Developers: Platform and Monetization was a presentation given by Chris Schalk at TheEdge 2010 conference in Tel Aviv, Israel on December 16, 2010. The presentation introduced Google App Engine and other Google cloud technologies, discussed monetizing applications, and provided an overview of the Google Prediction API and BigQuery.
Google Cloud Platform Solutions for DevOps EngineersMรกrton Kodok
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learn the DevOps essentials about cloud components, FaaS, PaaS architectural patterns that make use of Cloud Functions, Pub/Sub, Dataflow, Kubernetes and how we develop and deploy cloud software. You will get hands on information how to build, run, monitor highly scalable and flexible applications optimized to run on GCP. We will discuss cloud concepts and highlights various design patterns and best practices.
Top 10 Incredible Websites Built With Angular Framework75waytechnologies
ย
Technology is advancing, and โAngularโ is no exception. The way this technology has gained applause from developers across the globe, there is no shadow of a doubt we will soon discover more reasons to say โHelloโ to this technology.ย
Angular has been a quite popular framework for years and will rise high in the coming years. Whether it is building a big eCommerce web application or a single-page web application, this JavaScript front-end framework from Google is always considered the right pick. Yes, thatโs true! You might be in deep thought - how weโre so sure about this, right? Well, renowned companies like UpWork, Gmail, Google and more have already set a perfect example of how this technology can do wonders in this modern world.ย
Today, tech giants are reaping the benefit of this technology. There is a high possibility you might want to delve into this topic more. Right? Therefore, we bring you this blog post discussing the best websites built with the Angular framework and appreciated by tech experts for the excellence they achieved. So, what are you waiting for?
This document discusses building APIs and services for mobile apps using Ruby. It provides background on the speaker and history of web and mobile development. It then covers how mobile apps now rely on web APIs to access data, and how building APIs is similar to building web apps but without views. The document discusses designing APIs, testing APIs, and building APIs using various Ruby frameworks like Rails, Sinatra, and the Grape microframework. It emphasizes designing the API interface first before implementation and supporting API versioning for mobile apps.
This is my portfolio page containing some of my relevant projects to showcase my recent work, demonstrate my skill-set and provide some idea of my core competencies.
I have included links to some of my other pages, relevant to my profile. Please have a look at them if you liked this.
Feedback is very much welcome. I would love to hear your thoughts on these slides.
What's new in App Engine and intro to App Engine for BusinessChris Schalk
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This is a presentation given by Devfest Madrid 2010 by Google Developer Advocate Chris Schalk on "What's new in Google App Engine and Intro to App Engine for Business"
Develop Windows 8 & Windows Phone apps using crucial Google APIsIsham Mohamed Iqbal
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This presentation I have done for Microsoft Champs community meetup in Colombo, Sri Lanka on 13th September 2013. In this presentation I have shown some examples on how to use some non-documented APIs in developing Windows 8 and Windows Phone apps
Building Kick Ass Video Games for the CloudChris Schalk
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Christian Schalk gave a presentation on building games for the cloud using PlayN and Google cloud technologies. He began with an overview of PlayN, a cross-platform game development framework. He then reviewed Google App Engine and Google Cloud Storage as options for deploying and storing game data in the cloud. The presentation concluded with demonstrations of getting started with PlayN, deploying a game to App Engine, and setting up remote procedure calls between the client and server.
The document discusses optimizing APIs to perform at scale. It emphasizes taking a consumer-focused approach to API design by considering how the API will be consumed and performing from the client's perspective. The three pillars of API optimization are: 1) account for geographical differences, 2) review the data being sent, and 3) negate the need to send data by leveraging caching. Action items include enabling compression, adopting HTTP/2, normalizing responses to increase cacheability, and deploying APIs closer to end users.
Mobile backends with Google Cloud Platform (MBLTDev'14)Natalia Efimtseva
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This document summarizes a presentation about building mobile app backends with Google Cloud Platform. It discusses two approaches: "API-first" backend development using Google Cloud Endpoints to expose server-side logic through REST APIs, and a "frontend-first" approach using Firebase to store and sync data between clients offline. It provides examples of mobile apps using these services and demonstrates a real-time drawing app built with Firebase.
Sam Segal has experience as a software developer and systems engineer, specializing in Java, Spring, Android, and web development technologies. His resume highlights roles developing web and mobile applications for startups as well as larger companies like Appion and MapLarge. He has a variety of skills including Spring, Java, Android, SQL, NoSQL, web services, and front-end technologies.
Angular (v2 and up) - Morning to understand - LinagoraLINAGORA
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Slides of the talk about Angular, at the "Matinรฉe Pour Comprendre" organized by Linagora the 22/03/17.
Discover what's new in Angular, why is it more than just a framework (platform) and how to manage your data with RxJs and Redux.
Castles in the Cloud: Developing with Google App Enginecatherinewall
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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.
How to build Kick Ass Games in the CloudChris Schalk
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This is a presentation given by Googlers Chris Schalk and Johan Euphrosine (Proppy) at GDD Sydney 2011 on how to build multi-platform video games using PlayN.
GDD 2011 - How to build kick ass video games for the cloudChris Schalk
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Chris Schalk presented on PlayN, an open source and cross-platform game abstraction layer. PlayN allows developers to write core game code in a platform agnostic way using Java. It then compiles the code to run on multiple platforms including HTML5, Android, and Flash. PlayN handles common game components like input handling, images, and resource loading so developers can focus on game logic. It also includes a built-in physics engine. Using PlayN and Google Web Toolkit, developers can write games once in Java and deploy them to different platforms, improving performance through optimizations like code size reduction and caching.
Quick Intro to Google Cloud TechnologiesChris Schalk
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This document provides an introduction to Google's cloud technologies including Google App Engine, Google Storage, the Prediction API, and BigQuery. It describes each technology's capabilities and how developers can use them. Google App Engine is an application development platform, Storage provides cloud data storage, Prediction API enables machine learning predictions, and BigQuery allows fast, SQL-based analysis of large datasets. Examples and demos of each technology are also presented.
An overview of the different Google Cloud Technologies. Includes coverage of Google App Engine, Google Storage, Google Prediction Api, and BigQuery.
This presentation was given to the San Diego GTUG on Aug 26th, 2011.
Introduction to Google's Cloud TechnologiesChris Schalk
ย
An overview of the different Cloud technologies available from Google including App Engine, Google Storage, Google Prediction API, and BigQuery.
This presentation was given to the San Diego GTUG on Aug 26th, 2011.
Building Apps on Google Cloud TechnologiesChris Schalk
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This is a presentation on how to use the different Google Cloud technologies to build applications.
It was delivered in Mexico City at the "EstoEsGoogle" aka Devfest Mexico event on Aug 9th, 2011 in Mexico City by Google Developer Advocate Chris Schalk.
This is a presentation on Google App Engine's Latest Features.
It was delivered in Mexico City at the "EstoEsGoogle" aka Devfest Mexico event on Aug 9th, 2011 in Mexico City by Google Developer Advocate Chris Schalk.
Building Multi-platform Video Games for the CloudChris Schalk
ย
This is a presentation on how to build multi-platform (HTML5, Flash, Java/Android) video games using an open source technology known as Forplay (PlayN).
This presentation was delivered in Mexico City on Aug 9th, 2011 at the "EstoEsGoogle" aka Devfest Mexico event on Aug 9th in Mexico City by Google Developer Advocate Chris Schalk
This is an introduction presentation on App Engine for Business given by Chris Schalk, Google Developer Advocate on Oct 26, 2010 at the PayPal Innovate conference.
Introduction to Google Cloud platform technologiesChris Schalk
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This is a presentation given by Google Developer Advocate Chris Schalk at Spring One 2GX on Oct 21st, 2010. It introduces Google Storage for Developers, Prediction API, and BigQuery.
This document summarizes a presentation about Google App Engine for Business. It introduces App Engine for Business as providing enterprise application management features like a centralized administration console, 99.9% uptime SLAs, and direct support. It also previews hosted SQL databases and SSL on custom domains. The presentation demonstrates the administration console and building simple Spring apps on App Engine for Business. It encourages attendees to become trusted testers of App Engine for Business.
Intro to new Google cloud technologies: Google Storage, Prediction API, BigQueryChris Schalk
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This document introduces several new Google cloud technologies: Google Storage for storing data in Google's cloud, the Prediction API for machine learning and predictive analytics, and BigQuery for interactive analysis of large datasets. It provides overviews and examples of using each service, highlighting their capabilities for scalable data storage, predictive modeling, and fast querying of massive amounts of data.
This document provides an overview of building applications with Google App Engine. It discusses what cloud computing is and the different types of cloud services like IaaS, PaaS, and SaaS. It highlights key facts about Google App Engine like having over 250,000 developers, 100,000 apps, and serving over 250 million daily pageviews. The document also demonstrates the Wall demo app built on App Engine and covers the development tools and languages supported.
The document provides an overview of Google App Engine, a platform for developing and hosting web applications on Google's infrastructure. It discusses the different language runtimes, services, and development tools available on App Engine and highlights some example applications that have been built on the platform. The document also shares experiences from Latin American users and details some new features recently added to App Engine like cursors, task queues, and cron jobs.
This is a presentation on OpenSocial in the Enterprise given at Devfest 2009 in Buenos Aires Argentina on Nov 17, 2009 by Google Developer Advocate, Chris Schalk, eXo Platform CEO Benjamin Mestrallet, and Globant's Bruno Rovagnati
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
ย
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
ย
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
ย
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
How Can I use the AI Hype in my Business Context?Daniel Lehner
ย
๐๐จ ๐ผ๐ ๐๐ช๐จ๐ฉ ๐๐ฎ๐ฅ๐? ๐๐ง ๐๐จ ๐๐ฉ ๐ฉ๐๐ ๐๐๐ข๐ ๐๐๐๐ฃ๐๐๐ง ๐ฎ๐ค๐ช๐ง ๐๐ช๐จ๐๐ฃ๐๐จ๐จ ๐ฃ๐๐๐๐จ?
Everyoneโs talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know ๐ต๐ผ๐.
โ What exactly should you ask to find real AI opportunities?
โ Which AI techniques actually fit your business?
โ Is your data even ready for AI?
If youโre not sure, youโre not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
ย
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
๐ Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
๐ Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
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The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
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With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnellโs ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. ๐
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! ๐
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
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From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Mobile App Development Company in Saudi ArabiaSteve Jonas
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EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
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Hybrid Growth Mandate Model with TrsLabs
Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant.
An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
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At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
2. Agenda
โ What is App Engine?
โ Part I: App Engine Production Updates
โ Growth trajectory
โ App Engine Success so far
โ A Big Production Update: App Engine Leaving
Preview
โ Part II: App Engine Technical Updates
โ Go Runtime, Backends, Channel API, FTS,
Mapreduce
3. What is App Engine?
Build and run your web apps on Googleโs infrastructure
โ Easy to build
โ Easy to maintain
โ Easy to scale
Focus on building your app, let us wear the pagers!
4. Cloud landscape as Gartner Sees It
SaaS
PaaS
IaaS
Source: Gartner AADI Summit Dec 2009
5. What is App Engine?
PaaS Development Platform in a Box
โ Downloadable SDK
โ Application runtimes
โ Java, Python, Go
โ Local development tools
โ Eclipse plugin
โ Specialized api services
โ Cloud based dashboard
โ Automatically scales
โ Built in fault tolerance, load
balancing
โ Continuously evolving...
8. Agenda
โ What is App Engine?
โ Part I: App Engine Production Updates
โ Growth trajectory
โ App Engine Success so far
โ A Big Production Update: App Engine Leaving
Preview
โ Part II: App Engine Technical Updates
โ Go Runtime, Backends, Channel API, FTS,
Mapreduce
9. App Engine Evolution Through The Years
2008 2009 2010 2011
App Engine Batch write/read Java Task Queues Blobstore Multitenancy Hi-Replication
Launch Https DB Import XMPP Appstats Instance Console Datastore
Python Status- cron incoming email cursors Always On Channel API
Datastore Dashboard Mapper hi-perf imag Files API
Memcache 10 min tasks Remote API
logs export Prosp Search
10. App Engine - By the Numbers
100,000+
Active developers per Month
200,000+
Active apps per week
1.5B+
Pageviews per day
12. Royal Wedding - Scalability Success
Official Royal Wedding blog
on App Engine
On Wedding day, served:
โ Up to 32k requests per second
โ 37.7 million pageviews
โ 13.7 million visitors
http://goo.gl/F1SGc
15. WebFilings Financial SaaS on App Engine
Enterprise customers:
โ Procter & Gamble
โ Delta Airlines
โ Valero Energy
โ Sprint/Nextel
โ eBay
โ United Airlines
โ Dish Network
โ ...
Recently signed:
โ One of the world's largest
banks
โ The world's largest retailer
โ One of the largest US
auto manufacturers
http://www.webfilings.com/customers/valued_customers
16. App Engine: Certified Security
App Engine is now fully SAS70/SSAE16/ISAE
3402 Certified!
17. One Big Production Update...
.... App Engine is coming out of preview!
โ http://googleappengine.blogspot.com/2011/05/year-ahead-for-
google-app-engine.html
18. Production App Engine Features
App Engine Leaving Preview in 2011!
โ Full Google Product - 3 year deprecation support
โ 99.95% SLA for all paid users
โ Operational and Developer Support available
โ Billing via invoice
โ Ongoing feature delivery: custom domain
SSL, MapReduce, etc..
19. What Does Leaving Preview Mean?
โ Long-term committment by Google to App Engine
โ Long-term committment by App Engine to users!
โ It's a real product now, Enterprises can trust in it!
โ http://googleappengine.blogspot.com/2011/05/year-
ahead-for-google-app-engine.html
20. Production App Engine Pricing
โ Usage types:
โ Free - similar to today
โ Paid - $9/app/mo (+ usage) including SLA
โ Premier - $500/account/mo (+ usage) including operational
support
โ Add-on fee for special services
โ For example: SSL for custom domains will be available for
monthly fee
21. Production App Engine Further Details
โ Instance based charging
โ CPU-hours replaced by Instance Hours (IH)
โ 1 instance running for 1 hour
โ Similar to instances in admin console today
โ APIs
โ Currently charged per CPU-hour
โ Will be charged per operation
โ FAQ
โ https://groups.google.com/group/google-
appengine/browse_thread/thread/a1bfa432e0c002a7
โ https://groups.google.com/group/google-
appengine/browse_thread/thread/1e5ba8835fdade7e
22. Agenda
โ What is App Engine?
โ Part I: App Engine Production Updates
โ Growth trajectory
โ App Engine Success so far
โ A Big Production Update: App Engine Leaving
Preview
โ Part II: App Engine Technical Updates
โ Go Runtime, Backends, Pull Queues, Channel
API, FTS, MapReduce
23. App Engine 1.5 Updates
โ Introduced at Google IO, May 2011
24. 'Go' added as third language runtime
โ Released SDK for Mac & Linux
โ Windows port in the works
โ Uses tweaked Python SDK tools
โ Launched for production 1.5.2 (Jul 2011)
โ http://blog.golang.org/2011/05/go-and-google-app-engine.html
25. High Replication Datastore now default
โ Master/Slave (M/S) original App Engine datastore
โ High Replication Datastore (HRD) uses Paxos algorithm
โ Was originally 3x the cost of M/S*
โ Slightly slower (distributed writes)
โ Queries eventually consistent
โ Well-received
โ http://googleappengine.blogspot.com/2011/03/high-
replication-datastore-solid-choice.html
26. HRD as default - cont.
โ *Price reduction to discourage M/S (no longer 3x)
โ Has Delivered ~99.999% uptime since launch in January
โ M/S price increases when App Engine leaves Preview
โ Working on better tools
โ To make migration easier
โ To estimate updated cost
27. Backends feature introduced
โ Long-running servers
โ No more 30s or 10m deadline
โ Fully configurable instances with options:
โ RAM: 128MB to 1GB
โ CPU: 600MHz to 4.8GHz no request deadlines
โ Can run indefinitely
โ Resident or Dynamic - Public or Private
โ Automatic restarts
โ Easy to configure (backends.yaml, backends.xml)
โ (Demo)
โ http://www.google.com/events/io/2011/sessions/app-engine-
backends.html
28. "Pull Queues" introduced
โ A new alternative to previous Task Queues,
now referred to as "Push Queues"
โ Lets users decide when to execute tasks
โ Uses a REST API
โ Allows external access
30. "Pull Queues" introduced
โ A new alternative to previous Task Queues, now
referred to as "Push Queues"
โ Task is merely data, no longer a web request
โ Workers can pull (lease) tasks from queue
โ Uses a REST API
โ https://www.googleapis.com/taskqueue/myappid/taskqueues/myqueue
โ Can configure ACLs for external access
โ http://www.google.com/events/io/2011/sessions/putting-
task-queues-to-work.html
31. Pull Queues vs. (Push)Task Queues
โ Push Task Queues take & execute work
โ Tasks are "pushed" to application
โ Execute at a given rate
โ Pull queues offer more flexibility
โ Workers can pull (lease) tasks when
appropriate
32. Other App Engine 1.5.(0) Features
โ Mail API updates
โ Reduced free recipients from 2000 to 100 for new apps
โ ...
โ Source code downloading
โ Now Owner and Uploader can download
โ http://googleappengine.blogspot.
com/2011/05/app-engine-150-release.html
33. App Engine 1.5.1 Features
โ Geolocation header
โ X-AppEngine-country - can customize web pages based on
location
โ Presence support in Channel API
โ Can take action when user connects/disconnects (demo)
โ WebP support in Images API
โ WebP 39% smaller than JPEG!
โ Create RPC services with ProtoRPC
โ Now part of App Engine
โ http://googleappengine.blogspot.
com/2011/06/app-engine-151-release.html
34. App Engine 1.5.2 Features
โ Production: adjustable scheduler parameters
โ Able to set the minimum pending latency and maximum
number of idle instances
โ Namespaced datastore statistics
โ New option to query datastore stats per namespace
โ Tasks
โ New Task Queue details page
โ Pull Queue task size bump to 1MB
โ Pull Queue task lease extensions
โ http://googleappengine.blogspot.com/2011/07/app-
engine-152-sdk-released.html
35. App Engine 1.5.3 Features
โ Blobstore file uploads no longer limited
โ Allows you to serve much larger files: images, videos etc.
โ Datastore Admin now easily enable via 1-click
โ No longer have to update app.yaml, and java developers
don't have to upload a python version of their app
โ New HRD migration tool trusted tester program
โ Download App
โ Can now download any files that were uploaded into your war
directory
โ http://googleappengine.blogspot.com/2011/08/app-engine-153-
sdk-released.html
36. Experimental feature updates
โ Introduced at Google I/O 2011 talks
โ Full-text Search
โ Full-text search service coming to App Engine
โ Other queries: numeric, geo, date search capabilities, etc.
โ http://www.google.com/events/io/2011/sessions/full-text-
search.html
โ MapReduce
โ Part 1: Mapper has been available for awhile
โ Work is ongoing for shuffle and reduce
โ http://www.google.com/events/io/2011/sessions/app-engine-
mapreduce.html
โ http://www.youtube.com/watch?v=EIxelKcyCC0