Build Modern Web Apps Using ASP.NET Web API and AngularJS

Sep 11, 2014Download as pptx, pdf

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This document discusses the development of modern web applications using ASP.NET Web API and AngularJS. It covers key concepts such as RESTful services, the features of ASP.NET Web API, and the architecture of single page applications (SPAs). The document also highlights the advantages of building RESTful services and SPAs, emphasizing their ease of use and scalability.

Build Modern Web Apps using
ASP.NET Web API & AngularJS
Taiseer Joudeh
Senior IT Team Lead at Aramex
Twitter : @tjoudeh
Blog: http://bitof tech.net

Agenda
• Deep dive into ASP.NET Web API
• REST Specifications
• Build RESTful HTTP service using Web API
• Single Page Applications Overview
• SPA Frameworks
• Build simple SPA using AngularJS
• Host the project on Microsoft Azure

What is ASP.NET Web API?
• Framework for building HTTP based services
• Use HTTP is application protocol
• Designed for broad reach (To any client speaks HTTP!)
• HTTP != REST
• The framework does not enforce an architectural style
• Can be used with:
• ASP.NET Web Forms
• ASP.NET MVC

What is RESTful Services?
• REST = Representation State Transfer
• Stateless architect which runs over HTTP (Not a protocol)
• Four basic design principals for RESTful services:
1. Use HTTP Verbs only to interact with resources
2. Interaction with resources is stateless, request/response contain all
information
3. Resources identified by URIs only (Services Discovery)
4. Content Negotiation (Support for XML/JSON)

Resources in RESTful Services
Operation HTTP Verb ResourceURI
Get all students GET /api/students
Create a new student POST /api/students
Get a student GET /api/students/{username}
Update a student PUT /api/students/{username}
Delete a student DELETE /api/students/{username}

Why to build RESTful Services?
• Can be easily consumed by any client (Mobile Apps, SPA, Desktop
Apps, Service to Service, etc…)
• Lightweight (No XML parsing, less bandwidth, just the payloads)
• Easier to learn and build, you can get up running quickly.
• Closer to Web design specification, all about HTTP protocol.

To implement a Web API…..
• Derive from API Controller
• Implement your HTTP Methods
• Maps URI space to your API controllers
• Ex: api/{controller}/{id}
• {controller} + “Controller ” = ApiController Type Name
• Simple types are taken from URI
• Route data, query parameters
• Complex types come from the body
• MediaTypeFormaters are configured to deserialize request body based on content
type
• JSON, XML, and form-url-encoded are supported out of the box

What is SPA?
• Single Page Application – Bad Name maybe! (Rich Web
Applications)
• Load all necessary resources up-front with single page load (shell
page)
• Bring the desktop experience to the web – Partial loads
• Built entirely with JS and HTML

Motivations to build SPA
• Rich user experience – faster responses
• Reduce round tripping between client and the server
• Reach – SPAs can reach different users on different platforms.

SPA Architecture Philosophy
• Thin Stateless Server
• Role is a service (RESTful API is important)
• Stateless server…easy to scale
• Strong separation of concerns which leads to lower network latency, less
bandwidth usage, snappy response
• MVC at the Client
• View: sets on top of the architecture (Think of page).
• Model: set at the bottom of the architecture, holds the data for the view
• Controller: Sets in between, orchestrator between View and Model, handle
business logic

SPA Frameworks
• Consider framework with features:
• Browser history management (Support for back button)
• Templating engine (Mustache, Handlebars, etc…)
• Two way data binding
• Routing service
• Framework examples:
• AngularJS
• EmberJS
• BackboneJS

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Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar

Presented by: Anish Kumar LinkedIn: https://www.linkedin.com/in/anishkumar/ This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks). This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights. Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.

Down the Rabbit Hole – Solving 5 Training RoadblocksRustici Software

Feeling stuck in the Matrix of your training technologies? You’re not alone. Managing your training catalog, wrangling LMSs and delivering content across different tools and audiences can feel like dodging digital bullets. At some point, you hit a fork in the road: Keep patching things up as issues pop up… or follow the rabbit hole to the root of the problems. Good news, we’ve already been down that rabbit hole. Peter Overton and Cameron Gray of Rustici Software are here to share what we found. In this webinar, we’ll break down 5 training roadblocks in delivery and management and show you how they’re easier to fix than you might think.

Murdledescargadarkweb.pdfvolumen1 100 elementaryJorgeSemperteguiMont

FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)Safe Software

Peoples Gas in Chicago, IL has changed to a new Distribution & Transmission Integrity Management Program (DIMP & TIMP) software provider in recent years. In order to successfully deploy the new software we have created a series of ETL processes using FME Form to transform our gas facility data to meet the required DIMP & TIMP data specifications. This presentation will provide an overview of how we used FME to transform data from ESRI’s Utility Network and several other internal and external sources to meet the strict data specifications for the DIMP and TIMP software solutions.

FIDO Seminar: Targeting Trust: The Future of Identity in the Workforce.pptxFIDO Alliance

Oracle Cloud and AI Specialization ProgramVICTOR MAESTRE RAMIREZ

Agentic AI: Beyond the Buzz- LangGraph Studio V2Shashikant Jagtap

Artificial Intelligence in the Nonprofit Boardroom.pdfOnBoard

Floods in Valencia: Two FME-Powered Stories of Data ResilienceSafe Software

In October 2024, the Spanish region of Valencia faced severe flooding that underscored the critical need for accessible and actionable data. This presentation will explore two innovative use cases where FME facilitated data integration and availability during the crisis. The first case demonstrates how FME was used to process and convert satellite imagery and other geospatial data into formats tailored for rapid analysis by emergency teams. The second case delves into making human mobility data—collected from mobile phone signals—accessible as source-destination matrices, offering key insights into population movements during and after the flooding. These stories highlight how FME's powerful capabilities can bridge the gap between raw data and decision-making, fostering resilience and preparedness in the face of natural disasters. Attendees will gain practical insights into how FME can support crisis management and urban planning in a changing climate.

Edge-banding-machines-edgeteq-s-200-en-.pdfAmirStern2