Rate Limiting in .NET Core Web API

Susitha Bandara
4 min readMay 14, 2023

Rate limiting is a crucial aspect of developing robust and secure web APIs. It allows developers to control the number of requests that can be made to an API within a specific time frame. By implementing rate limiting in your .NET Core Web API, you can protect your server resources, prevent abuse, and ensure fair usage for all clients. In this article, we will explore the concept of rate limiting, its benefits, and how to implement it in a .NET Core Web API using C#.

What is Rate Limiting?

Rate limiting is a technique used to control the rate of incoming requests to an API. It sets limits on the number of requests that can be made by a client or a group of clients within a defined time period. By implementing rate limiting, you can prevent abuse, protect server resources, and ensure a smooth and responsive experience for all users.

Why is Rate Limiting Important?

Rate limiting plays a vital role in maintaining the performance, stability, and security of your web API. Here are some key reasons why rate limiting is important:

  1. Protecting Server Resources: By enforcing rate limits, you can prevent clients from overwhelming your server with an excessive number of requests. This helps to maintain server performance and availability for all users.
  2. Preventing Abuse and Attacks: Rate limiting can protect your API from malicious attacks, such as distributed denial-of-service (DDoS) attacks or brute force attacks. By limiting the number of requests per client, you can mitigate the impact of such attacks.
  3. Fair Usage: Rate limiting ensures fair usage of your API’s resources among all clients. By setting reasonable limits, you can prevent a single client from monopolizing server resources, allowing others to access the API as well.

Implementing Rate Limiting in .NET Core Web API

Now, let’s dive into the implementation details of rate limiting in a .NET Core Web API. We will use C# code examples to illustrate the concepts.

Step 1: Install the Required Packages

To get started, you need to install the AspNetCoreRateLimit NuGet package, which provides a powerful middleware for rate limiting in .NET Core Web APIs. Open your project in Visual Studio or your preferred editor and execute the following command in the Package Manager Console:

Install-Package AspNetCoreRateLimit

Step 2: Configure Rate Limiting Options

In your API’s Startup.cs file, locate the ConfigureServices method and add the following code to configure the rate limiting options:

public void ConfigureServices(IServiceCollection services)
{
// Other configurations...

services.AddMemoryCache();
services.Configure<IpRateLimitOptions>(Configuration.GetSection("IpRateLimiting"));
services.Configure<IpRateLimitPolicies>(Configuration.GetSection("IpRateLimitPolicies"));
services.AddSingleton<IIpPolicyStore, MemoryCacheIpPolicyStore>();
services.AddSingleton<IRateLimitCounterStore, MemoryCacheRateLimitCounterStore>();
services.AddSingleton<IRateLimitConfiguration, RateLimitConfiguration>();

// Other configurations...
}

The above code registers the required services for rate limiting and configures the IP rate limiting options. It uses an in-memory cache for storing rate limit counters.

Step 3: Define Rate Limiting Policies

In your appsettings.json file, add the following configuration to define your rate limiting policies:

"IpRateLimiting": {
"EnableEndpointRateLimiting": true,
"StackBlockedRequests": false,
"RealIpHeader": "X-Real-IP",
"ClientIdHeader": "X-ClientId",
"HttpStatusCode": 429,
"GeneralRules": [{
"Endpoint": "*",
"Period": "1s",
"Limit": 10
}
],
"ClientRules": []
},
"IpRateLimitPolicies": {
"EndpointRateLimitPolicy": {
"ClientIdHeader": "X-ClientId",
"Period": "1s",
"Limit": 5,
"Rules": [
{
"Endpoint": "*",
"Period": "1s",
"Limit": 5
},
{
"Endpoint": "*",
"Period": "1m",
"Limit": 50
}
]
}
}

In the above configuration, we have defined a rate limiting policy called “EndpointRateLimitPolicy”. This policy specifies that within a 1-second period, a client can make up to 5 requests to any endpoint. Additionally, within a 1-minute period, a client can make up to 50 requests to any endpoint. You can customize these values according to your application’s requirements.

Step 4: Add Rate Limiting Middleware

Next, add the rate limiting middleware to your Configure method in the Startup.cs file:

public void Configure(IApplicationBuilder app, IWebHostEnvironment env)
{
// Other middleware configurations...

app.UseIpRateLimiting();

// Other middleware configurations...
}

The UseIpRateLimiting method enables the rate limiting middleware for your application.

Step 5: Handling Rate Limit Exceeded Requests

When a client exceeds the rate limit, you can customize the behavior by implementing a custom middleware or handling the rate limit exceeded requests in your controllers. Here’s an example of how you can handle rate limit exceeded requests in a controller:

[ApiController]
[Route("api/[controller]")]
public class MyController : ControllerBase
{
[HttpGet]
[RateLimit("EndpointRateLimitPolicy")]
public IActionResult MyAction()
{
// Your action logic...

return Ok();
}
}

In the above code, the RateLimit attribute is applied to the MyAction method, specifying the rate limiting policy to apply. If the rate limit is exceeded, the middleware will return a 429 status code (Too Many Requests) by default. You can customize this behavior by implementing an IRateLimitConfiguration interface.

Conclusion

Rate limiting is a vital technique for controlling the flow of requests in a .NET Core Web API. By implementing rate limiting, you can protect your server resources, prevent abuse, and ensure fair usage among clients. In this article, we explored the concept of rate limiting, its importance, and demonstrated how to implement it in a .NET Core Web API using the AspNetCoreRateLimit package. By following the steps outlined here, you can enhance the security, stability, and performance of your web API.

Remember, rate limiting is just one aspect of building a secure and scalable API. As a developer, it’s essential to stay updated with best practices and continuously monitor and optimize your API’s performance and security to provide a smooth and reliable experience to your users.

Happy coding!

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