Sunday, 22 June 2025

Are You Looking for The Best Joomla 5.3.0 Hosting in UK?

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To choose the Joomla 5.3.0 Hosting in UK for your site, we recommend you going with the following Best & Cheap Joomla 5.3.0 Hosting company that are proved reliable and sure by our editors. Meet Joomla 5.3.0 , a powerful new suite of tools, and the strongest link in your new content supply chain. Interact with countless applications, thanks to REST-first native web services. Use progressive decoupling to break free from back-end restrictions without sacrificing security and accessibility. Deliver faster, with enhanced entity caching and better integration with CDNs and reverse proxies. With Joomla 5.3.0 , you can build almost any integrated experience you can imagine.
 

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  • 24/7-based Support -They never fall asleep and they run a service that is operating 24/7 a year. Even everyone is on holiday during Easter or Christmas/New Year, they are always behind their desk serving their customers.
  • Excellent Uptime Rate - Their key strength in delivering the service to you is to maintain their server uptime rate. They never ever happy to see your site goes down and they truly understand that it will hurt your onlines business.
  • High Performance and Reliable Server - They never ever overload their server with tons of clients. They always load balance their server to make sure they can deliver an excellent service, coupling with the high performance and reliable server.
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Tuesday, 17 June 2025

API Rate Limiting in .NET

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Limiting the number of requests a user or client can make is crucial in the realm of online APIs, particularly public ones. We call this API Rate Limiting. In its absence, a single irresponsible or malevolent user might overwhelm your server, cause other users' services to lag, or even bring down your entire application. Let's take a closer look at this idea, see how it functions in.NET, and examine some best practices, actual cases, and even interview questions that may be useful.

What is API Rate Limiting?

Simply put, Rate Limiting controls how often someone (like a user, client, or IP address) can make requests to an API within a specific period.

For example

  • A public API may allow 100 requests per minute per user.
  • If someone sends 101 requests, the 101st will be rejected or delayed.

This protects the backend and ensures fair usage by all clients.

Why Do We Need API Rate Limiting?
  1. Avoid Server Overload: Prevents your server from crashing due to too many requests.
  2. Stops Abuse: Blocks bots or malicious users from hammering your API.
  3. Ensures Fair Usage: All users get a fair share of the service.
  4. Reduces Cost: If you're using cloud services (like Azure/AWS), more requests mean more cost.
  5. Enhances Security: Prevents brute-force attacks, especially on login APIs.
API Rate Limiting in .NET

.NET provides simple and flexible ways to implement rate limiting, especially since .NET 7 and .NET 8, where a built-in Rate Limiting Middleware was introduced.

Setting Up Rate Limiting in ASP.NET Core 8

You can add rate limiting using the built-in AspNetCore.RateLimiting package.

1. Install NuGet Package (if required)

dotnet add package AspNetCoreRateLimit

2. Configure in Program.cs

builder.Services.AddMemoryCache();
builder.Services.Configure<IpRateLimitOptions>(builder.Configuration.GetSection("IpRateLimiting"));
builder.Services.AddSingleton<IRateLimitConfiguration, RateLimitConfiguration>();
builder.Services.AddInMemoryRateLimiting();

In appsettings.json

"IpRateLimiting": {
  "EnableEndpointRateLimiting": true,
  "StackBlockedRequests": false,
  "RealIpHeader": "X-Real-IP",
  "ClientIdHeader": "X-ClientId",
  "HttpStatusCode": 429,
  "GeneralRules": [
    {
      "Endpoint": "*",
      "Period": "1m",
      "Limit": 5
    }
  ]
}

✔️ This will limit each client to 5 requests per minute for all endpoints (*).

Alternate way

using Microsoft.AspNetCore.RateLimiting;
using System.Threading.RateLimiting;

var builder = WebApplication.CreateBuilder(args);

builder.Services.AddRateLimiter(options =>
{
    options.AddFixedWindowLimiter("fixed", opt =>
    {
        opt.Window = TimeSpan.FromSeconds(10);
        opt.PermitLimit = 5; // Allow 5 requests every 10 seconds
        opt.QueueProcessingOrder = QueueProcessingOrder.OldestFirst;
        opt.QueueLimit = 2; // Maximum 2 requests will wait in queue
    });
});

var app = builder.Build();

app.UseRateLimiter();

app.MapGet("/", () => "Hello!").RequireRateLimiting("fixed");

app.Run();

Explanation

  • Window: Time window to measure requests.
  • PermitLimit: Number of requests allowed.
  • QueueLimit: Extra requests to wait in the queue.
  • RequireRateLimiting("fixed"): Apply this policy to specific endpoints.
Real-world Scenarios (Where Rate Limiting Helps)
  1. Public APIs like weather, currency exchange, etc.
    • Prevents free users from abusing the API.
  2. Login & Authentication endpoints
    • Stops brute-force attacks.
  3. Payment Gateway APIs
    • Limits transaction requests to avoid fraud.
  4. Microservices architecture
    • One service calling another repeatedly can exhaust system resources.
Example Use Case

Imagine a Matrimony Application API:

  • Free users: Max 20 requests/minute.
  • Premium users: Max 100 requests/minute.

This ensures premium users get faster service without being affected by free users’ heavy traffic.

How to do this?

Use user roles or JWT claims inside the limiter logic to apply different limits dynamically.

How to Handle Clients Exceeding Limits?

When a client hits the limit:

  • 429 Too Many Requests HTTP status code is returned.
  • Optionally, include a Retry-After header to inform them when they can try again.

Example response

HTTP/1.1 429 Too Many Requests
Retry-After: 30
Best Practices for API Rate Limiting
  • ✅ Set different limits for different users (e.g., free vs. paid).
  • ✅ Always log when limits are hit (for audit or debugging).
  • ✅ Notify clients properly with error codes and retry headers.
  • ✅ Use Redis or distributed caches for scalable limits across multiple servers.
  • ✅ Don't forget internal APIs or microservices calls — they may also need limits.

Common Interview Questions (with Answers)

Q 1. Why is Rate Limiting important in APIs?

A. It prevents misuse, protects backend resources, avoids server overload, and ensures fair usage among clients.

Q 2. How do you implement Rate Limiting in .NET Core?

A. Using the AspNetCore.RateLimiting middleware. Configure policies (FixedWindow, SlidingWindow, TokenBucket, Concurrency) in the Program.cs file and apply them to endpoints using .RequireRateLimiting("policyName").

Q 3. What is the difference between Fixed Window and Sliding Window rate limiting?
  • Fixed Window: Limits apply to fixed time blocks (e.g., 10 requests every minute).
  • Sliding Window: Limits apply to rolling periods — more accurate but slightly complex.
Q 4. What HTTP status code is used when a rate limit is hit?

429 Too Many Requests.

Q 5. Can Rate Limiting be role-based?

Yes. You can set different limits based on user roles, API keys, or tokens using custom resolvers or policies.

Conclusion

Rate limiting is no longer optional — it’s a must-have feature for all APIs. In .NET, adding rate limiting is now super simple thanks to the built-in middleware. Whether you’re building small internal tools or large public services, a proper rate-limiting strategy will protect your application from abuse and ensure reliability.

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Tuesday, 10 June 2025

ASP.NET Core Multi-Tenant SaaS Applications

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Building applications that effectively serve numerous clients (tenants) from a single codebase is crucial as Software-as-a-Service (SaaS) continues to rule the tech industry. With its scalable and modular design, ASP.NET Core is an effective platform for putting multi-tenant SaaS apps into practice.

This article will guide you through core principles, patterns, and a practical approach to building a multi-tenant ASP.NET Core app.

What is Multi-Tenancy?

In a multi-tenant architecture, a single application instance serves multiple tenants, with each tenant having isolated data and configurations. There are three common multi-tenancy models.

  1. Single Database, Shared Schema: All tenants share the same database and tables. Tenant data is filtered per request.
  2. Single Database, Separate Schema per Tenant: One database, but each tenant has its own schema.
  3. Separate Database per Tenant: Each tenant has a completely separate database. Most secure, but also complex.
Core Components of a Multi-Tenant ASP.NET Core App

1. Tenant Identification Middleware

You must identify the tenant from the request, commonly through.

  • Subdomain (e.g., tenant1.app.com)
  • Header (e.g., X-Tenant-ID)
  • URL path (e.g., /tenant1/dashboard)
public class TenantResolutionMiddleware
{
    private readonly RequestDelegate _next;

    public TenantResolutionMiddleware(RequestDelegate next)
    {
        _next = next;
    }

    public async Task Invoke(HttpContext context, ITenantService tenantService)
    {
        var tenantId = context.Request.Headers["X-Tenant-ID"].FirstOrDefault();
        if (string.IsNullOrEmpty(tenantId))
        {
            context.Response.StatusCode = 400; // Bad Request
            await context.Response.WriteAsync("Tenant ID missing.");
            return;
        }

        await tenantService.SetCurrentTenantAsync(tenantId);
        await _next(context);
    }
}

2. Tenant Context & Service

Create a scoped service to store tenant information per request.

public interface ITenantService
{
    TenantInfo CurrentTenant { get; }
    Task SetCurrentTenantAsync(string tenantId);
}

public class TenantService : ITenantService
{
    public TenantInfo CurrentTenant { get; private set; }

    public Task SetCurrentTenantAsync(string tenantId)
    {
        // Fetch tenant info from a DB or config
        CurrentTenant = new TenantInfo { Id = tenantId, Name = $"Tenant {tenantId}" };
        return Task.CompletedTask;
    }
}

3. Data Isolation Using EF Core

Use a global query filter in Entity Framework Core to isolate data.

public class AppDbContext : DbContext
{
    private readonly ITenantService _tenantService;

    public AppDbContext(DbContextOptions<AppDbContext> options, ITenantService tenantService)
        : base(options)
    {
        _tenantService = tenantService;
    }

    public DbSet<Order> Orders { get; set; }

    protected override void OnModelCreating(ModelBuilder modelBuilder)
    {
        var tenantId = _tenantService.CurrentTenant?.Id;
        modelBuilder.Entity<Order>().HasQueryFilter(o => o.TenantId == tenantId);
    }
}

Managing Per-Tenant Configuration

Store configurations like feature toggles, limits, or branding in a TenantSettings table, and cache them using a memory cache or Redis.

public class TenantInfo
{
    public string Id { get; set; }
    public string Name { get; set; }
    public string ThemeColor { get; set; }
    public string DbConnectionString { get; set; } // for DB-per-tenant model
}
Tenant-Based Dependency Injection

ASP.NET Core allows scoped services per request; use it to register tenant-specific services dynamically if needed.

Authentication & Authorization

Use IdentityServer or JWT tokens that carry the tenant ID. This ensures that tokens are scoped to a particular tenant and can’t be used across them.

Testing and Debugging Multi-Tenant Logic
  • Use integration tests to simulate tenant-specific scenarios.
  • Enable verbose logging during tenant resolution.
  • Protect tenant boundaries using middleware and filters.

Best Practices

  • Isolate tenant data at all layers, including caching and messaging.
  • Use caching wisely, with tenant-scoped keys.
  • Implement strict authorization and rate limits per tenant.
  • Monitor and log tenant-specific performance metrics.
Conclusion

It takes more than just shared data to create a multi-tenant SaaS application in ASP.NET Core. It all comes down to tenant-aware design patterns, secure isolation, and clever architecture. You can confidently grow your SaaS application by integrating middleware, scoped services, EF Core filters, and contemporary deployment techniques.

Happy coding!

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Tuesday, 3 June 2025

ASP.NET Core Web API Login with MongoDB

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 How to use MongoDB in.NET 8 to configure logging in an ASP.NET Core Web API. This comprehensive tutorial demonstrates how to use Serilog to record logs and store them in MongoDB, which facilitates error tracking, API behavior monitoring, and real-time application activity analysis.



One of the most crucial aspects of developing a practical application is logging. It assists you in tracking faults, keeping an eye on behavior, and comprehending the background operations of your application.

In this article, you’ll learn how to,

  • Set up a Web API in ASP.NET Core (.NET 8)
  • Use Serilog for logging
  • Store logs in MongoDB
  • View logs in MongoDB Compass

We’ll keep things simple but detailed so even beginners can follow along.

Prerequisites

Make sure you have these installed.

  • .NET 8 SDK
  • MongoDB
  • MongoDB Compass (optional, for viewing logs)
  • Basic knowledge of ASP.NET Core

Step 1. Create a New ASP.NET Core Web API Project.

Open your terminal and run.

dotnet new webapi -n LoggingWithMongo
cd LoggingWithMongo

This will create a sample Web API project.

Step 2. Install Required NuGet Packages.

We’ll use Serilog to handle logging, and a MongoDB sink to write logs to MongoDB.

Run these commands.

dotnet add package Serilog.AspNetCore
dotnet add package Serilog.Sinks.MongoDB

Step 3. Set Up Serilog in Program.cs.

Open Program.cs, and update it as follows.

1. Add the using statement.

using Serilog;

2. Configure Serilog Logging.

Add this before the builder.Build()

Log.Logger = new LoggerConfiguration()
    .WriteTo.Console()
    .WriteTo.MongoDB(
        "mongodb://localhost:27017/logs", // MongoDB connection string
        collectionName: "logEntries",     // MongoDB collection name
        cappedMaxSizeMb: 50               // Optional: limit collection size
    )
    .Enrich.FromLogContext()
    .CreateLogger();

builder.Host.UseSerilog();

Here’s the full updated Program.cs.

using Serilog;

var builder = WebApplication.CreateBuilder(args);

// Configure Serilog
Log.Logger = new LoggerConfiguration()
    .WriteTo.Console()
    .WriteTo.MongoDB(
        "mongodb://localhost:27017/logs", // Replace with your MongoDB connection string
        collectionName: "logEntries"
    )
    .Enrich.FromLogContext()
    .CreateLogger();

builder.Host.UseSerilog(); // Replace default logger

builder.Services.AddControllers();
builder.Services.AddEndpointsApiExplorer();
builder.Services.AddSwaggerGen();

var app = builder.Build();

app.UseSwagger();
app.UseSwaggerUI();

app.UseAuthorization();

app.MapControllers();

app.Run();

Step 4. Add Logging to a Controller.

Let’s add some logging inside the default WeatherForecastController.

Open Controllers/WeatherForecastController.cs and update it like this.

[ApiController]
[Route("[controller]")]
public class WeatherForecastController : ControllerBase
{
    private static readonly string[] Summaries = new[]
    {
        "Freezing", "Bracing", "Chilly", "Cool", "Mild", "Warm", "Balmy", "Hot", "Sweltering", "Scorching"
    };

    private readonly ILogger<WeatherForecastController> _logger;

    public WeatherForecastController(ILogger<WeatherForecastController> logger)
    {
        _logger = logger;
    }

    [HttpGet(Name = "GetWeatherForecast")]
    public IEnumerable<WeatherForecast> Get()
    {
        _logger.LogInformation("Weather forecast requested at {Time}", DateTime.UtcNow);

        return Enumerable.Range(1, 5).Select(index => new WeatherForecast
        {
            Date = DateTime.Now.AddDays(index),
            TemperatureC = Random.Shared.Next(-20, 55),
            Summary = Summaries[Random.Shared.Next(Summaries.Length)]
        })
        .ToArray();
    }
}

This line.

_logger.LogInformation("Weather forecast requested at {Time}", DateTime.UtcNow);

will write a log entry each time the endpoint is called.

Step 5. Run the Application.

Use this command to start the app.

dotnet run

Now open your browser and go to,

https://localhost:5001/weatherforecast

Each time you refresh the page, a new log will be generated and saved to MongoDB.

Step 6. View Logs in MongoDB.

Open MongoDB Compass or use the Mongo shell.

In MongoDB Compass.

  • Connect to your server (mongodb://localhost:27017)
  • Open the database logs
  • Go to the logEntries collection

You’ll see documents like this.

{
  "_id": ObjectId("665d1739a92a511a28e4d341"),
  "Timestamp": "2025-06-03T14:00:00Z",
  "Level": "Information",
  "MessageTemplate": "Weather forecast requested at {Time}",
  "RenderedMessage": "Weather forecast requested at 6/3/2025 2:00:00 PM",
  "Properties": {
    "Time": "2025-06-03T14:00:00Z",
    "SourceContext": "LoggingWithMongo.Controllers.WeatherForecastController"
  }
}

You can use MongoDB queries to search, filter, or export logs.

Conclusion

Now your Web API logs are being saved in MongoDB! This is useful for,

  • Centralized log storage
  • Debugging issues
  • Monitoring app activity
  • Viewing logs from multiple servers

You can expand this by adding more structured data, custom enrichers, and log filtering.

Let me know if you’d like help adding things like,

  • Request/response logging
  • Error logging middleware
  • Logging user info or IP addresses

Happy coding!

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Tuesday, 27 May 2025

Comparing Two Images in .NET Core Using Bitmap

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Create a.net core Console application in Visual Studio and install System.Drawing. The common library can be found in the NuGet Package Manager or the command line. In this post, we will compare two photos using the BitMap library in the dot net core application.

For the NuGet Package Manager Console, run the below command.

Install-Package System.Drawing.Common

For the .NET CLI command line, run the below command.

dotnet add package System.Drawing.Common

Basic image identification can be done with Hashing MD5 using the Cryptography library. For quick comparison generate a hash for each image and compare the image hashes and it will give the result.

Code Example

using System.Drawing;
using System.Security.Cryptography;

Console.WriteLine("Cryptography MD5 Quick Comparison ");
bool st= AreImagesIsIdentical(@"image1.PNG",@"image2.PNG");


Console.WriteLine("is Same image :" + st);
string GetImageHash(string imagePath)
{
    using (var md5 = MD5.Create())
    {
        using (var stream = new FileStream(imagePath, FileMode.Open))
        {
            var hash = md5.ComputeHash(stream);
            return BitConverter.ToString(hash).Replace("-", "").ToLowerInvariant();
        }
    }
}

 bool AreImagesIdentical(string imagePath1, string imagePath2)
{
    return GetImageHash(imagePath1) == GetImageHash(imagePath2);
}

Output

The bitmap library will help to compare pixels in the images. For comparing the pixel values of the two images, the code example is below.

using System.Drawing;

Console.WriteLine("Pixel Comparison ");
bool st= AreImagesIsIdentical(@"image1.PNG",@"image2.PNG");

bool AreImagesIsIdentical(string imagePath1, string imagePath2)
{
    using (Bitmap bmp1 = new Bitmap(imagePath1))
    using (Bitmap bmp2 = new Bitmap(imagePath2))
    {
        if (bmp1.Width != bmp2.Width || bmp1.Height != bmp2.Height)
        {
            return false;
        }

        for (int y = 0; y < bmp1.Height; y++)
        {
            for (int x = 0; x < bmp1.Width; x++)
            {
                if (bmp1.GetPixel(x, y) != bmp2.GetPixel(x, y))
                {
                    return false;
                }
            }
        }
    }
    return true;
}

Output

 

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Thursday, 22 May 2025

Best & Cheap ASP.NET Core 10.0 Hosting in Europe

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Best & Cheap ASP.NET Core 10.0 Hosting in Europe

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Tuesday, 13 May 2025

C# Developers Can Create, Run, and Debug Apps with Visual Studio Code

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 Developers are urged to switch to other tools as Microsoft plans to remove Visual Studio for Mac on August 31, 2024. For C# programming on macOS, Visual Studio Code (VS Code) and the C# Dev Kit provide a stable, cross-platform environment.

So, given that this is our step-by-step approach.

  • Setting up VS Code for C# development
  • Creating and running a simple C# console application
  • Check if we can debug within VS Code

Prerequisites

Ensure the following are installed on your system.

  1. .NET SDK: Download and install the latest .NET SDK from the .NET official website.
  2. Visual Studio Code: Install VS Code from the official website.
  3. C# Extension for VS Code: Install the C# extension by Microsoft:
    • Open VS Code.
    • Navigate to the Extensions view by clicking on the Extensions icon in the Activity Bar on the left side of the window.
    • Search for "C#" and install the extension provided by Microsoft.

VS Code Extensions view highlighting the C# extension.

Create a new C# Console Application

Step 1. Open Terminal

Launch a terminal window from your preferred working location. This can be your home directory or any project folder you like to work in.

Step 2. Navigate to Your Workspace

Move to your favorite place for coding projects.

cd /Users/rikam/Projects

Step 3. Create a New Folder and Initialize the Project

Use the following commands to create a new directory for your app and generate a basic C# console application.

mkdir Leetcode
cd Leetcode
dotnet new console

This will scaffold a new project with a Program.cs file and required project configuration (.csproj file).

To open your C# project in Visual Studio Code from the terminal, use this command.

  • code: This is the command to launch VS Code.
  • This tells VS Code to open the current directory (your project folder).
code .

If the code command is not recognized

You might need to install the code command in your shell.

Use the Menu Bar

You can access the Command Palette manually.

  • Click on View in the top menu bar.
  • Select Command Palette, then type and select: "Shell Command: Install 'code' command in PATH"

Command Palette with "Shell Command: Install 'code' command in PATH" highlighted.

Now, you can open any folder in VS Code using the (code .) command

Let's write some C#

Open Program.cs: In the Explorer view, open the Program.cs file, and let's add a simple function to print numbers. We are initializing an array of five integers and printing each to the console.

void PrintNumbers()
{
    int[] numbers = { 10, 20, 30, 40, 50 };
    foreach (int number in numbers)
    {
        Console.WriteLine(number);
    }
    Console.WriteLine("Press any key to exit...");
    Console.ReadKey();
}
PrintNumbers();
Run the App

Build and Run

// Building the app
dotnet build

// Running the app
dotnet run

The console should display.

10
20
30
40
50

Debugging the Application

Step 1. Add a Breakpoint

Click in the gutter to the left of the line Console.WriteLine(number) to add a breakpoint.

The Red dot is a breakpoint set on line 6.

Step 2. Start Debugging

Press F5 or navigate to Run > Start Debugging. VS Code may prompt you to select the environment for your project. For a C# app, you'll choose ( .NET or .NET Core, depending on your version )

After this selection, VS Code automatically generates a .vscode/launch.json file in your project folder. This file contains configuration instructions that tell VS Code how to build and run your app.

launch.json

{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    "version": "0.2.0",
    "configurations": [
        {
            "name": ".NET Core Launch (console)",
            "type": "coreclr",
            "request": "launch",
            "preLaunchTask": "build",
            "program": "${workspaceFolder}/bin/Debug/net8.0/Leetcode.dll",
            "args": [],
            "cwd": "${workspaceFolder}",
            "console": "internalConsole",
            "stopAtEntry": false
        },
        {
            "name": ".NET Core Attach",
            "type": "coreclr",
            "request": "attach"
        }
    ]
}

Next, the debugger will start, and execution will pause at the breakpoint.

Inspect Variables

  • Use the Debug pane to inspect the value of the number and other variables.
  • Use the Step Over (F10) and Step Into (F11) commands to navigate through the code.

Conclusion

Transitioning from Visual Studio to Visual Studio Code ensures continued support and access to modern development tools for C#. With the C# extension, VS Code provides a streamlined environment for building and debugging .NET applications.

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