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ASP.Net Web Development

ASP.Net (C#,VB) is one of the most used web programming languages on the Internet. In reality, ASP.Net is not a programming language. ASP.Net is web application frame developed by Microsoft. ASP.Net websites are almost exclusively developed and hosted on Windows Servers. Even though some Linux Variants have been developed, those are not as successful as ASP.Net on Windows. Programming language mostly used to create ASP.Net pages is CSharp(C#) although some programmers who have Visual Basic application development background are more comfortable in using VB for ASP.Net Website development. We have experienced ASP.Net programmers / developers and SQL Server database developers to develop any kind of web site for you. Please Contact us for a free quote.

Advantage of using ASP.Net for web development


You want to cut the costs of updating and modifying your website. Creating a database backend, for example mysql, to your website will significantly lower your website overhead. The interface to this database is provided through server side web framework like ASP.Net. We can provide you a control / admin panel, which will be built using Asp.Net, which will allow you to update your website yourself. You won't need to contact us to make changes to your website like updating web page content or to add new products or manage existing products of an online store we build for you. We can build online stores where you can sell your products / services with option to easily add/modify/remove products and manage orders. You can electronically receive payments using many different methods like credit card with payment processors like authorize.net, 2checkout.com or paypal, egold, e-bullion etc.


ASP / ASP.Net Articles

  • Windows 11 Is Phasing Out VBScript Faster Than Expected: Here's What You Can Do About It

    If your enterprise still runs on scripts from the '90s, it's time for a coffee and a reality check.



  • Model Context Protocol: A Bridge Between Legacy Desktop Applications and Modern AI

    As someone who spends their days working with VB6 forms, PowerBuilder DataWindows, and Clarion templates, I'll admit that when I first heard about Microsoft's Model Context Protocol (MCP) support, my reaction was skepticism. "Great," I thought, "another modern protocol that'll be completely irrelevant to the world of COM objects and Win32 APIs."



  • Azure AI Foundry Part 3: Governing AI at Scale – Trust, Safety, and Turbocharged Growth

    A nervous energy buzzes in the control room as your AI project prepares for lift-off. Monitors glow with last-minute metrics; coffee cups tremble beside keyboards. The CTO paces like a launch director at mission control, running final checks on everything that could go wrong. Will the AI behave appropriately with real customers? Will costs spiral out of orbit when usage surges? It’s the ultimate tech adrenaline rush – unleashing a powerful new AI into the wild – tempered by the realization that unchecked power can spell disaster. In the age of agentic AI, letting an unguided system roam free is like handing car keys to a thrill-seeking teenager, - exciting, risky, and potentially headline-making.



  • Azure AI Foundry – Part II:  A Developer’s Deep Dive into the Foundry

    Trial by Fire: Setting Up Shop in the AI Foundry

    A lone developer sits before a glowing screen, code editor open and coffee going cold. The task at hand? Build an intelligent AI agent from scratch, - a challenge both electrifying and daunting. On day one, it feels like stepping into a bustling forge with sparks flying, - libraries to install, keys to manage, environments to configure. In this “crucible” of creativity, every clang of the keyboard hints at potential, but also the weight of complexity. I remember furiously tweaking environment variables at 2 AM, fighting dependency dragons and permission gremlins, longing for a simpler way. Surely there’s a better furnace to forge this AI?



  • Azure AI Foundry: What is it and Why Should You Care

    Azure AI Foundry – Part I: Forging the Future of Enterprise AI



 
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