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.
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 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.
Developing Java Web Applications In Google App EngineTahir Akram
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.
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.
Cloud Computing Bootcamp On The Google App Engine v1.2.1Matthew McCullough
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.
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.
Google App Engine is cloud computing technology. Google App Engine is software that facilitates the user to run his web applications on Google infrastructure
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 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.
Developing Java Web Applications In Google App EngineTahir Akram
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.
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.
Cloud Computing Bootcamp On The Google App Engine v1.2.1Matthew McCullough
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.
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.
Google App Engine is cloud computing technology. Google App Engine is software that facilitates the user to run his web applications on Google infrastructure
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 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.
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.
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.
Introduction to Google App Engine - Naga Rohit S [ IIT Guwahati ] - Google De...Naga Rohit
This document provides an introduction and overview of Google App Engine. It discusses why cloud computing is useful, describes Google App Engine and other Platform as a Service providers. It covers the languages supported in Google App Engine, including Python and Go, and provides steps to get started, including building a simple "Hello World" application. It also demonstrates how to use the Webapp framework, handle user authentication, and deploy applications to App Engine.
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 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.
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
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.
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.
Patrick Chanezon and Guillaume Laforge are presenting Google App Engine Java and Gaelyk, the lightweight groovy toolkit on top of the GAE SDK, at the Devoxx conference
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.
Introduction to Google App Engine with PythonBrian Lyttle
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.
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.
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.
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.
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
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 (PaaS) cloud computing platform for developing and hosting web applications in Google-managed data centers.
Google App Engine allows users to develop and host web applications on Google's servers. It provides an integrated development environment called Eclipse to write applications using Java, Python or other languages. The application code and files are packaged and deployed to Google's servers. When requests come in, the web.xml file maps URLs to servlet classes which handle the requests. The appengine-web.xml file provides configuration details like the application ID. Applications can be tested locally and then deployed to the cloud with a single click from within Eclipse. Once deployed, applications are accessible via a URL based on the registered application ID.
The document provides instructions for installing the Java SDK, creating a project, running and testing a project locally using the Eclipse development environment and Google Plugin for Eclipse, and deploying the project to Google App Engine. Key steps include installing the Google Plugin for Eclipse, creating a new App Engine project, running the project locally using the development server within Eclipse, and deploying the project to App Engine.
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 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.
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.
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.
Introduction to Google App Engine - Naga Rohit S [ IIT Guwahati ] - Google De...Naga Rohit
This document provides an introduction and overview of Google App Engine. It discusses why cloud computing is useful, describes Google App Engine and other Platform as a Service providers. It covers the languages supported in Google App Engine, including Python and Go, and provides steps to get started, including building a simple "Hello World" application. It also demonstrates how to use the Webapp framework, handle user authentication, and deploy applications to App Engine.
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 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.
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
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.
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.
Patrick Chanezon and Guillaume Laforge are presenting Google App Engine Java and Gaelyk, the lightweight groovy toolkit on top of the GAE SDK, at the Devoxx conference
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.
Introduction to Google App Engine with PythonBrian Lyttle
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.
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.
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.
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.
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
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 (PaaS) cloud computing platform for developing and hosting web applications in Google-managed data centers.
Google App Engine allows users to develop and host web applications on Google's servers. It provides an integrated development environment called Eclipse to write applications using Java, Python or other languages. The application code and files are packaged and deployed to Google's servers. When requests come in, the web.xml file maps URLs to servlet classes which handle the requests. The appengine-web.xml file provides configuration details like the application ID. Applications can be tested locally and then deployed to the cloud with a single click from within Eclipse. Once deployed, applications are accessible via a URL based on the registered application ID.
The document provides instructions for installing the Java SDK, creating a project, running and testing a project locally using the Eclipse development environment and Google Plugin for Eclipse, and deploying the project to Google App Engine. Key steps include installing the Google Plugin for Eclipse, creating a new App Engine project, running the project locally using the development server within Eclipse, and deploying the project to App Engine.
This document provides an overview of Google Cloud Platform (GCP) services. It discusses computing services like App Engine and Compute Engine for hosting applications. It covers storage options like Cloud Storage, Cloud Datastore and Cloud SQL. It also mentions big data services like BigQuery and machine learning services like Prediction API. The document provides brief descriptions of each service and highlights their key features. It includes code samples for using Prediction API to train a model and make predictions on new data.
Appium is a tool for automating native and hybrid mobile apps. This document discusses how to set up an Appium project to test Android apps. It covers installing Appium and related tools on Windows, setting desired capabilities, locating elements, performing actions, validating results, and running tests. The goal is to create an IntelliJ project that uses Appium to test a sample Android app by interacting with app elements and verifying the app's behavior.
The document discusses Angular JS programs and their requirements. It provides 12 programs to develop using Angular JS including programs to display full name by combining first and last name inputs, create a shopping list application, and develop a calculator. It also covers basics of Angular JS like directives, expressions, filters and controllers. Installation and setup of Angular JS is explained requiring Node.js, npm package manager and Angular CLI.
This document provides an overview of Google App Engine for Java (GAE/J) through a presentation. It discusses key aspects of GAE/J including the scalable infrastructure, programming languages supported, frameworks, development tools, deployment, data storage using the datastore, testing, limits, and services. It emphasizes that GAE/J handles the infrastructure and allows developers to focus on application code without worrying about scaling or maintaining servers.
Using galen framework for automated cross browser layout testingSarah Elson
Galen Framework is a test automation framework which was originally introduced to perform cross browser layout testing of a web application in a browser. Nowadays, it has become a fully functional testing framework with rich reporting and test management system. This framework supports both Java and Javascript.
This document discusses how to build an Android app using Google App Engine (GAE) and Google Cloud Endpoints. It introduces GAE and Cloud Endpoints, shows how to create RESTful APIs, generate client libraries, and consume the APIs in an Android app. Code examples are provided for defining API methods and services as well as making API calls from Android. The document also covers testing APIs locally and deploying them to GAE.
Proper Connections Development for Proper Domino DevelopersMark Myers
This document provides an overview of a session on developing proper connections between an IBM Domino application and IBM Connections. It discusses three ways to surface a Domino XPages application in Connections: 1) using a simple iWidget, 2) with static HTML/JavaScript integrating an API, and 3) as a WAS application integrating an API. It also covers creating an API in Domino to enable integration. The presenters are members of the London Developer Co-op who will demonstrate these approaches in the session.
Django is a free and open-source Python web framework used to ease the process of developing web applications. It emphasizes reusability and pluggability of components for rapid development. Django projects include applications that satisfy the project's intentions. The framework uses the MVC architecture where models represent the data, views display the user interface, and controllers link models and views together. This document explained how to install Django, create a project and application, and tested the development server to display "It worked!"
JBUG 11 - Django-The Web Framework For Perfectionists With DeadlinesTikal Knowledge
The document discusses Django, an open-source web framework for Python. It highlights how Django can shorten development time for web applications by automating common tasks. It provides examples of how Django handles data modeling, views, templates, and other features out of the box. The document also lists many successful websites built with Django that demonstrate its performance, scalability, and popularity in the developer community.
OpenSocial aims to make the web more social by allowing developers to add social features to websites and applications. The OpenSocial APIs allow gadgets to access user profile data and enable social interactions through features like activities. Developers can focus on building engaging experiences while OpenSocial handles user management and relationships through standards-based gadget specifications and JavaScript APIs.
Udi discusses his experience using Django and Google App Engine for web application development. Some key points:
- Django allows rapid development while still scaling well for complex enterprise products.
- App Engine handles deployment, hosting, scalability and database management, allowing the focus to be only on business logic.
- The Django helper allows writing regular Django apps that can be adapted to run on App Engine with only minor changes.
- While App Engine is very useful, it still has quotas and uptime SLAs that make it not fully production ready for some large-scale needs. Amazon EC2 provides more flexibility but requires handling deployment and configuration.
Express is a popular Node.js framework that provides scaffolding for building web applications in an organized manner. It allows adding middleware functions and templating engines like Dust.js to add dynamic content. The document demonstrates how to use the Request module to call an external weather API, parse the JSON response, and render the data in a Dust template to present weather information for different cities. It concludes by discussing deploying the application to production platforms like Bluemix.
Make Cross-platform Mobile Apps Quickly - SIGGRAPH 2014Gil Irizarry
This document provides a summary of a presentation about making cross-platform mobile apps quickly using open source tools. It discusses using PhoneGap to create apps using HTML, CSS, and JavaScript that are cross-platform. It provides examples of building simple apps demonstrating concepts like accessing device data, using maps, touch events, and animation. The examples are meant to illustrate how to create mobile apps that work across Android and iOS without using their native languages.
This document discusses how to create extensible WordPress plugins using hooks. It begins with background on the speaker and why WordPress is a good platform. It then explains that plugins should be made extensible so others can extend functionality without modifying code. The key aspects are using WordPress actions and filters to define hook points for others to attach to. Filters are for modifying data while actions trigger events. Examples are given of extending plugins by overwriting classes. Tips include planning hooks carefully and adding documentation. Finally, examples of extensible plugins and resources for further reading are provided.
This document outlines an agenda for a workshop on building video apps with YouTube APIs. It includes exercises on setting up the development environment, using the Player and Google Data YouTube APIs, and integrating the YouTube API with an AppEngine application. The exercises guide attendees through running API code samples, modifying examples, incorporating API calls into an AppEngine app, and deploying the app to AppEngine.
This document outlines a 4 session bootcamp for learning SharePoint Framework (SPFx) development. Session 1 covers setting up a development environment including an Office 365 tenant and app catalog. Session 2 focuses on building a first web part, including scaffolding, building functionality, and deploying to SharePoint. Session 3 introduces React and rebuilding the web part using React components. Session 4 covers using SPFx within Microsoft Teams. The organizers and contact information for technical assistance are also provided.
The document provides steps to create JSR-168/JSR-286 portlets using Google Web Toolkit (GWT) with Liferay Portal. It outlines installing necessary software including Eclipse, GWT, Java JDK, Ant, and Liferay Portal. It then describes creating a Liferay project and portlet, adding GWT to the portlet, and deploying the portlet on Liferay Portal.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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2. Table of contents
• Open an account
• Installing GAE plugin for eclipse
• Installing JRE and JDK
• Register & Login example
• GAE Junit
• More features of GAE
• Example source code
Note: As for now, it is possible to write your server side code in Python, Java
or PHP. This slideshow demonstrates an example using Java.
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3. Open an account
Suppose we have a Gmail account: nameforthetutorial@gmail.com.
Go to the address: https://developers.google.com/appengine/ and click Sign Up.
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4. Open an account
Fill in the project name.
The Project ID is your unique server name.
You can use the one that was generate for you or set one as you like as long
as no one else is already using it.
Your server address will be http://<your_project_id>.appspot.com.
Click Get Started.
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5. Open an account
In the next window click your project name.
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6. Open an account
Here you can view all of your projects.
You can open up to 10 projects per Gmail account.
Click your project name.
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8. Open an account
You made it. That’s your main dashboard.
Here you manage your app.
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9. Installing GAE plugin for eclipse
Depends on your eclipse version, follow the instructions in the relevant link:
https://developers.google.com/eclipse/docs/install-eclipse-4.3
https://developers.google.com/eclipse/docs/install-eclipse-4.2
https://developers.google.com/eclipse/docs/install-eclipse-3.7
When finished you’ll see a blue Google symbol (
Now sign in to your account:
In the lower right corner click Sign in to Google:
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) in your upper toolbar.
10. Installing JRE and JDK
You may have problems with your JDK or JRE, so download the latest versions
from the java site:
http://www.oracle.com/technetwork/java/javase/downloads/jre7-downloads1880261.html
http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads1880260.html
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11. Register & Login example
A simple example only to understand how to communicate between your
Android app and your GAE server.
We will use POST request.
Usually Get request is for getting back data from the sever, while POST request
is for storing data in the server.
In Get request the parameters are passed in the url, while in POST request a
package is being sent to the server with the parameters encoded inside.
The following example uses POST request both for getting back data from the
server and for storing data in the server. The reason is that in order to get back
the data from the server, our password is being sent on the web and we don’t
want it to appear in the url.
Note: Using POST request is not a sufficient protection for sending password on
the web. An SSL protection is needed as will be shown next.
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12. Register & Login example – Server side
Click the Google symbol (
Project…
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) in your eclipse. Then choose New Web Application
Google App Engine tutorial - 2013
13. Register & Login example – Server side
Fill in your server side app name and also a
package name.
Click Finish.
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14. Register & Login example – Server side
Your server side project should look like in the image.
Predictable problems:
- If you are missing the App Engine SDK or the JRE
System Library then:
Right click your project name > properties > Java Build
Path > choose Libraries tab > in the menu on the right
choose Add Library… > choose Google App Engine >
Next > Finish.
In the same way for the JRE but instead of choosing
Google App Engine choose JRE System Library.
- If the warWEB-INFlib is empty then try:
Right click your project name > properties > expand Google > App Engine > uncheck
Use Google App Engine box > OK.
Then do it again but now check the Use Google App Engine box and your libraries
should be added.
Note: In general Project > Clean do magic.
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15. Register & Login example – Server side
Now Go to appengineweb.xml and set your
project id.
That’s the connection
between your code and
the Google App Engine
project you opened
earlier.
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16. Register & Login example – Server side
Create two classes: Register & Login.
We need them in order to define two servlets:
https://clean-abacus-384.appspot.com/login
https://clean-abacus-384.appspot.com/register
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17. Register & Login example – Server side
Define the two classes we’ve just created as
servlets, and map them to the corresponding urls.
For example, according to the written on the right
the url
https://clean-abacus-384.appspot.com/login
is mapped to the servlet Login which is referred to
the com.serversideexample.Login class, which we
defined in the previous slide.
In lines 34-42 you can see the definition of the
security constraint for using SSL.
For further reading about applying SSL protection
in GAE:
https://developers.google.com/appengine/docs/ja
va/config/webxml#Secure_URLs
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18. Register & Login example – Server side
Register class extends
HttpServlet in order to
define the Register
servlet.
The datastore may
contain many kinds of
entities all together in
the same table (there
is only one table). Here
we create a Person
kind entity by
specifying it in the
entity’s constructor.
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19. Register & Login example – Server side
As before Login class
extends HttpServlet in
order to define the Login
servlet.
We should specify which
entity we’re looking for (line
47).
Note: in CompositeFilter
also “or” operator may be
used.
In FilterOperator also “gt”,
”gte”, ”lt”, ”lte”, ”ne”, ”in”
may be used.
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20. Register & Login example – Server side
Deploy your project:
Right click your project name > Google > Deploy to App Engine and then click Deploy.
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21. Register & Login example – Client side
Suppose you have a little experience in Android.
Create a new app with the following permissions:
Now set main_activity.xml to look like that:
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22. Register & Login example – Client side
A simple activity which
listens the two buttons
and calls the execute
function in the
ClientAsync class in order
to perform the POST
request to the GAE server.
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23. Register & Login example – Client side
ClientAsync extends
AsyncTask in order to work in
background, sets a POST
request with the encoded
parameters which the server
is expecting for.
ClientAsync uses
HttpsURLConnection for
supporting GAE’s SSL security
constraint.
Finally displays the server’s
answer with the TextView
object.
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24. Register & Login example – Testing
Starting point:
Datastore is empty. Fill in some details and click Register.
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25. Register & Login example – Testing
After clicking Register the Person will be shown in the datastore.
Note: The App engine gives every entity an unique id (key).
For further reading about keys:
https://developers.google.com/appengine/docs/java/datastore/entities#Java_Genera
ting_keys
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26. Register & Login example – Testing
Further Login Testing:
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27. GAE Junit
Test your code in a convenient way.
Setting up the framework:
• Right click your project name > properties > Java Build Path > choose Libraries tab > in
the menu on the right choose Add External Jars… > go to
eclipsepluginscom.google.appengine.eclipse.sdkbundle_1.8.6appengine-java-sdk1.8.6libimpl and select appengine-api.jar, appengine-api-labs.jar, appengine-apistubs.jar > Open > OK.
• Right click your project name > properties > Java Build Path > choose Libraries tab > in
the menu on the right choose Add External Jars… > go to
eclipsepluginscom.google.appengine.eclipse.sdkbundle_1.8.6appengine-java-sdk1.8.6libtesting and select appengine-testing.jar > Open > OK.
• Right click your project name > properties > Java Build Path > choose Libraries tab > in
the menu on the right choose Add Library… > choose Juint > Next > choose Junit 4 >
Finish.
For further reading about Junit:
https://developers.google.com/appengine/docs/java/tools/localunittesting
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28. GAE Junit
Junit:
To run the tests
do Run > Run
As… > Junit Test
Note: The
changes are local
and have no
effect on your
GAE datastore.
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29. More features of GAE
Jackson/Gson:
An easy way to transfer objects threw the web. User class should be at the server side and
at the client side. In the server side we convert user to json string into the response and in
the client side we read the json string and convert it back to user.
Server side:
Client side:
For further reading about Jackson:
http://wiki.fasterxml.com/JacksonInFiveMinutes
http://wiki.fasterxml.com/JacksonDownload
For further reading about Gson:
https://code.google.com/p/google-gson/
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30. More features of GAE
Objectify/JDO/JPA:
It’s possible to define an entity as a class.
More comfortable, less dirty code.
For further reading about Objectify:
https://code.google.com/p/objectify-appengine/
For further reading about JDO:
https://developers.google.com/appengine/docs/java/datastore/jdo/overview-dn2
For further reading about JPA:
https://developers.google.com/appengine/docs/java/datastore/jpa/overview
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31. More features of GAE
Sending mail from
your server:
You can send and
receive emails on
behalf of your project
ID.
Great for password
recovery, confirm
registration etc.
For further reading about mailing options:
https://developers.google.com/appengine/docs/java/mail/
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32. More features of GAE
Logging messages to Logs
console:
You can log out notes of
some categories: severe,
warning and info.
You can view your logs in
the Logs section in your
app’s console.
Great for debugging
…
…
For further reading about logging:
https://developers.google.com/appengine/docs/java/#Java_Logging
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33. More features of GAE
Running on local host:
You can run your app locally. Do Run As > Web Application. Your server’s url now is
http://localhost:8888/.
You can get to your app’s console in: http://localhost:8888/_ah/admin.
Note: you may need to remove your SSL protection (use http://...) when testing locally.
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34. More features of GAE
More relevant topics:
• Transactions: atomic operations in the datastore. Obligatory for concurrent writes to
datastore.
https://developers.google.com/appengine/docs/java/datastore/transactions
• ThreadSafe: allowing your server to run your server side in parallel.
https://developers.google.com/appengine/docs/java/config/appconfig#Java_appengine_w
eb_xml_Using_concurrent_requests
• Backends: background services for heavy computations.
https://developers.google.com/appengine/docs/java/backends/
•Blobstore: storing large files like images, videos etc.
https://developers.google.com/appengine/docs/java/blobstore/
• Quotas: limits for free datastore usage.
https://developers.google.com/appengine/docs/quotas#Datastore
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