Raleigh DevDay 2017: Delivering High Quality Mobile Application via Real Device Testing with AWS Device Farm
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AWS Device Farm is a service that allows developers to test mobile apps on hundreds of real mobile devices in the cloud. The presentation covered an overview of AWS Device Farm, a demo of its features, use cases for mobile UI testing, and pricing and availability. Developers can use AWS Device Farm to perform manual and automated testing on real devices to improve app quality.
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Mobile app development can be complex and time-consuming. Learn how to rapidly deliver engaging, high quality mobile apps with AWS Mobile Hub. We will demonstrate how AWS Mobile Hub abstracts the undifferentiated heavy lifting of common mobile app development use cases by providing a single, integrated experience for discovering, provisioning and configuring AWS cloud resources you need to build, test, and monitor usage of your mobile apps. Quickly onboard users and manage identities, authorization, and access controls. Engage and increase user retention with push notification, messaging, analytics, and campaigns. Manage access to your APIs with a serverless back-end architecture. Test your app(s) on a broad array of real devices to ensure quality releases.
AWS Mobile Hub + AWS Device Farm
Easily develop mobile apps powered by AWS services using a single console. Whether you are creating a brand new mobile app or adding features to an existing app, AWS Mobile Hub lets you leverage the features, scalability, reliability, and low cost of AWS in minutes. AWS Mobile Hub walks you through feature selection and configuration. It then automatically provisions the AWS services required to power these features, and generates working quickstart apps for iOS and Android that use your provisioned services.
Test on the same devices your customers use. Run tests across a large selection of physical devices. Unlike emulators, physical devices provide a more accurate understanding of how users interact with your app by taking into account factors such as memory, CPU usage, location, and modifications done by manufactures and carriers to the firmware and software.
Presented by: Danilo Poccia, Technical Evangelist, Amazon Web Services
Testing & Troubleshooting Modern Apps with AWS Device Farm: Mobile Week SF
AWS Mobile Week at the San Francisco Loft
Testing and Troubleshooting Modern Apps with AWS Device Farm
Testing your mobile app is important! In this session, learn about UI testing and how to build UI tests, then run the UI tests on a variety of mobile devices in the cloud. Learn how you can go completely device free by using devices in the cloud for your development.
Level: Intermediate
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SaaS Digital Assurance Lab
This document summarizes SeeTestCloud, a quality assurance platform for mobile apps that provides access to hundreds of remote mobile devices hosted in data centers. Key capabilities include: hosting mobile devices for manual, automation and performance testing; integration with CI/CD tools; and capabilities for test automation, management, debugging and non-functional testing. The platform allows testing on any device or OS and offers enterprise-level security for dedicated, remote device access.
AWS re:Invent 2016: Workshop: Deploy a Swift Web Application on Amazon ECS (C...
In this workshop, you learn how to develop a mobile front-end using Swift, and develop a Swift microservices-based web application to be deployed on Amazon ECS.
Workshop Requirements:
Mac Laptop
XCode 7 or 8
AWS Account
IAM admin privileges for AWS account with full access to EC2, ECS, ECR, Code Pipeline, Mobile Hub and Device Farm. (If you choose to create a new account, please do it 24 hrs ahead.)
AWS Mobile Hub
This document provides an agenda for an AWS Mobile Day event discussing AWS services for building, testing, and engaging users with mobile apps. It introduces AWS Mobile Hub as a way to build apps on AWS in minutes using pre-built features and auto-provisioned services. It also discusses Amazon Cognito for user authentication and data synchronization, Amazon S3 for media storage, AWS Lambda for backend logic, Amazon Device Farm for mobile app testing, Amazon Mobile Analytics for usage analytics, and Amazon SNS for push notifications.
Building Containerized Swift Applications on AWS
This workshop teaches attendees how to deploy a complete Swift web application on Amazon ECS. It consists of four hands-on labs that guide students through developing a Swift API using Vapor, creating a mobile client app integrated with AWS services, testing the mobile app using Device Farm, and setting up an automated deployment pipeline using services like CodePipeline. The labs demonstrate how to containerize the Swift code using Docker, store images in ECR, run the containers on ECS, use RDS for the database, Cognito for authentication, and more.
CIS14: Identity Management for the Cloud
Jim Scharf, Amazon
What’s different in providing identity and access management for one of the largest cloud providers, some of the key technology and design decisions made along the way, and how AWS is working to make it even easier to federate with existing social and enterprise identity providers.
Everything You Need to Develop Apps Faster and Scale to Millions of Users
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Velocity2013 mobile ci_intuit
Tina Su discusses how Intuit implemented continuous integration and mobile test automation to speed up their mobile development cycle. They created an Intuit Virtual Device Lab (VDL) that gives developers browser-based access to real mobile devices. This allows automated tests to be run simultaneously across many device configurations. Intuit also developed a shared test library and uses Cucumber and Calabash for behavior-driven testing on Android and iOS. Continuous integration with the VDL and test automation reduced Intuit's iteration cycle from days to minutes, improving release quality and developer productivity.
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Why You Need Automated and Manual Mobile App Testing
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AWS re:Invent 2016: Test and Debug Your Mobile Apps on Real Android and iOS D...
AWS re:Invent 2016: Test and Debug Your Mobile Apps on Real Android and iOS D...
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Nikhil Dabhade - Introduction to AWS Device Farm.pdf
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Accelerate Your Mobile Development Journey with AWS
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AWS November Webinar Series - Get Started with Automated Mobile Application T...
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Testing & Troubleshooting Modern Apps with AWS Device Farm: Mobile Week SF
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AWS re:Invent 2016: Workshop: Deploy a Swift Web Application on Amazon ECS (C...
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Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
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La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
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Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
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Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
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Event Agenda :
Open banking so far (short recap)
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Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
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Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
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5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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