Before diving into optimization techniques, it’s important to identify the areas of your code that require improvement. By measuring and profiling your application’s performance, you can pinpoint the exact bottlenecks and focus your optimization efforts where they matter the most (Measure and Identify Bottlenecks). In this blog, I’ll explain effective strategies for handling memory and reducing garbage collection overhead in your C# applications. Memory management and garbage collection are essential aspects of performance tuning in C#, so these best practices will help you optimize your code for maximum efficiency. Here are 8 tips that will help with performance optimization. 1. Use the IDisposable interface : Utilizing the IDisposable interface is a crucial C# performance tip. It helps you properly manage unmanaged resources and ensures that your application’s memory usage is efficient. Bad way: public class ResourceHolder { private Stream _stream; public ResourceHolder(string filePath) { _stream = File.OpenRead(filePath); } // Missing: IDisposable implementation } Good way: public class ResourceHolder : IDisposable { private Stream _stream; public ResourceHolder(string filePath) { _stream = File.OpenRead(filePath); } public void Dispose() { _stream?.Dispose(); // Properly disposing the unmanaged resource. } } By implementing the IDisposable interface, you ensure that unmanaged resources will be released when no longer needed, preventing memory leaks and reducing pressure on the garbage collector. This is a fundamental code optimization technique in C# that developers should utilize. 2. Asynchronous Programming with async/await Asynchronous programming is a powerful technique for improving C# performance in I/O-bound operations, allowing you to enhance your app’s responsiveness and efficiency. Here, we’ll explore some best practices for async/await in C#. Limit the number of concurrent operations Bad way: public async Task ProcessManyItems(List<string> items) { var tasks = items.Select(async item => await ProcessItem(item)); await Task.WhenAll(tasks); } Good way: public async Task ProcessManyItems(List<string> items, int maxConcurrency = 10) { using (var semaphore = new SemaphoreSlim(maxConcurrency)) { var tasks = items.Select(async item => { await semaphore.WaitAsync(); // Limit concurrency by waiting for the semaphore. try { await ProcessItem(item); } finally { semaphore.Release(); // Release the semaphore to allow other operations. } }); await Task.WhenAll(tasks); } } Without limiting concurrency, many tasks will run simultaneously, which can lead to heavy load and degraded overall performance. Instead, use a SemaphoreSlim to control the number of concurrent operations. 3. UseConfigureAwait(false) when possible ConfigureAwait(false) is a valuable C# performance trick that can help prevent deadlocks in your async code and improve efficiency by not forcing continuations to run on the original synchronization context. public async Task<string> DataAsync() { var data = await ReadDataAsync().ConfigureAwait(false); // Use ConfigureAwait(false) to avoid potential deadlocks. return ProcessData(data); } 4. Parallel Computing and Task Parallel Library This will help the power of multicore processors and speed up CPU-bound operations Bad way: private void Data(List<int> data) { for (int i = 0; i < data.Count; i++) { PerformExpensiveOperation(data[i]); } } Good way: private void Data(List<int> data) { Parallel.ForEach(data, item => PerformExpensiveOperation(item)); } Parallel loops can considerably accelerate processing of large collections by distributing the workload among multiple CPU cores. Switch from regular for and foreach loops to their parallel counterparts whenever it’s feasible and safe. 5. Importance of Caching Data Utilizing in-memory caching can drastically reduce time-consuming database fetches and speed up your application. The good way demonstrates the use of in-memory caching to store product data and reduce time-consuming database fetches. 6. Optimizing LINQ Performance Force immediate execution using ToList() or ToArray() when needed. Use the AsParallel() extension method to ensure safety and parallelism. Selecting a HashSet instead of a List offers faster look-up times and greater performance 7. Task and ValueTask for reusing asynchronous code Use ValueTask to reduce heap allocations public async ValueTask<string> DataAsync() { var data = await ReadFromStreamAsync(_stream); return ProcessData(data); } By switching from Task<TResult> to ValueTask<TResult>, you can reduce heap allocations and ultimately improve your C# performance 8. Use HttpClientFactory to manage HttpClient instances private readonly HttpClient _httpClient; public MyClass(HttpClient httpClient) { _httpClient = httpClient; } public async Task GetDataAsync() { var response = await _httpClient.GetAsync("http://himashu.com/data"); } This approach manages the lifetimes of your HttpClient instances more efficiently, preventing socket exhaustion. - Use null-coalescing operators (??, ??=) string datInput = NullableString() ?? "default"; - Using Span and Memory for efficient buffer management // Using Span<T> avoids additional memory allocation and copying byte[] data = GetData(); Span<byte> dataSpan = data.AsSpan(); ProcessData(dataSpan); - Use StringComparison options for efficient string comparison bool equal = string.Equals(string1, string2, StringComparison.OrdinalIgnoreCase); - Use StringBuilder over string concatenation in loops StringBuilder sb = new StringBuilder(); for (int i = 0; i < 1000; i++) { sb.AppendFormat("Iteration: {0}", i); } string result = sb.ToString(); This has been a collection of just a few things I’ve found useful for enhancing the performance of my C# .NET code. Remember that the key to successful development is a balance between code quality and performance optimizations. By employing these techniques, you’ll be able to build high-performing C# applications that deliver a seamless user experience.
Hosting an Angular application on IIS involves a few straightforward steps. Follow this step-by-step guide to seamlessly deploy your Angular project on IIS. Step 1: Open Your Angular Project in Visual Studio Code Review the build command in the package.json file. By default, it's usually set to ng build. Step 2: Run the Build Command Execute the ng build command in the terminal to compile your Angular application. This command creates a 'dist' folder, typically located at the specified output path in the angular.json file. Step 3: Install IIS Ensure that IIS is installed on your machine. You can install it through the "Turn Windows features on or off" option in the Control Panel. Step 4: Create a New Site in IIS Open the IIS Manager. In the Connections pane, right-click on the "Sites" node and select "Add Website." Fill in the required information, such as the Site name, Physical path to the folder , and choose a port. Step 5: Configure URL Rewrite (Optional) If your Angular application uses routing, consider configuring URL Rewrite for proper routing. Create a 'web.config' file in your 'dist' folder with the appropriate configurations. Here's a simple example of a web.config file for an Angular application with routing.This file helps configure how the server handles URL requests. ---------------------------------------------------------------------------------------------------------------- <?xml version="1.0" encoding="utf-8"?> <configuration> <system.webServer> <rewrite> <rules> <rule name="Angular Routes" stopProcessing="true"> <match url=".*" /> <conditions logicalGrouping="MatchAll"> <add input="{REQUEST_FILENAME}" matchType="IsFile" negate="true" /> <add input="{REQUEST_FILENAME}" matchType="IsDirectory" negate="true" /> </conditions> <action type="Rewrite" url="/" /> </rule> </rules> </rewrite> <staticContent> <remove fileExtension=".json" /> <mimeMap fileExtension=".json" mimeType="application/json" /> </staticContent> </system.webServer> </configuration> ---------------------------------------------------------------------------------------------------------------- Step 6: Restart IIS After making these changes, restart IIS to apply the configurations. Step 7: Access Your Angular Application Open a web browser and navigate to http://localhost:yourport (replace 'yourport' with the specified port from Step 4). Now, your Angular application is hosted on IIS. Access it through the specified port. If any issues arise, check the IIS logs for more information. Customize these instructions based on your specific requirements and environment. Thanks!
Here, I will explain how to restrict users from using expired tokens in a .NET Core application. Token expiration checks are crucial for ensuring the security of your application. Here's a general outline of how you can achieve this: 1. Configure Token Expiration: When generating a token, such as a JWT, set an expiration time for the token. This is typically done during token creation. For example, when using JWTs, you can specify the expiration claim: var tokenDescriptor = new SecurityTokenDescriptor { Expires = DateTime.Now.AddMinutes(30) // Set expiration time }; 2. Token Validation Middleware: Create middleware in your application to validate the token on each request. This middleware should verify the token's expiration time. You can configure this middleware in the startup or program file on the .NET side. public void Configure(IApplicationBuilder app, IHostingEnvironment env) { app.UseMiddleware<TokenExpirationMiddleware>(); } 3. Token Expiration Middleware: Develop middleware to validate the token's expiration time. Take note of the following points: ValidateIssuerSigningKey: Set to true, indicating that the system should validate the issuer signing key. IssuerSigningKey: The byte array represents the secret key used for both signing and verifying the JWT token. ValidateIssuer and ValidateAudience: Set to false, indicating that validation of the issuer and audience is skipped. By setting ClockSkew to TimeSpan.Zero, you specify no tolerance for clock differences. If the current time on the server or client is not precisely within the token's validity period, the token is considered expired. public class TokenExpirationMiddleware { private readonly RequestDelegate _next; public TokenExpirationMiddleware(RequestDelegate next) { _next = next; } public async Task Invoke(HttpContext context) { // Check if the request has a valid token var token = context.Request.Headers["Authorization"].FirstOrDefault()?.Split(" ").Last(); if (token != null) { var tokenHandler = new JwtSecurityTokenHandler(); var key = Encoding.ASCII.GetBytes("YourSecretKey"); // Replace with your actual secret key of Issuer var tokenValidationParameters = new TokenValidationParameters { ValidateIssuerSigningKey = true, IssuerSigningKey = new SymmetricSecurityKey(key), ValidateIssuer = false, ValidateAudience = false, ClockSkew = TimeSpan.Zero }; try { // Validate the token var principal = tokenHandler.ValidateToken(token, tokenValidationParameters, out var securityToken); // Check if the token is expired if (securityToken is JwtSecurityToken jwtSecurityToken) { if (jwtSecurityToken.ValidTo < DateTime.Now) { // Token is expired context.Response.StatusCode = (int)HttpStatusCode.Unauthorized; return; } } } catch (SecurityTokenException) { // Token validation failed context.Response.StatusCode = (int)HttpStatusCode.Unauthorized; return; } } await _next(context); } } Working fine with proper token time. Here is an example: I am providing an expired token, and it will result in a 401 Unauthorized status. You can also check the token in https://jwt.io/ for time expired (exp) . By following these steps, you can effectively implement checks to ensure that users are not able to use expired tokens within your .NET Core application.
What Is a Docker? Let’s Say you created an application, and that’s working fine in your machine.??????? Figure 1: App Working Fine But in production it doesn’t work properly, developers experience it a lot. Figure 2: Not Working in Production That is when the developer’s famous words are spoken Client: Your application is not working Developer: It works on my machine Figure 3: Client Developer The Reason could be due to: Dependencies Libraries and versions Framework OS Level features Microservices That the developer’s machine has but not there in the production environment. We need a standardized way to package the application with its dependencies and deploy it on any environment. Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Figure 4: Docker Icon How does docker work? Docker packages an application and all its dependencies in a virtual container that can run on any server. Figure 5: Container Each container runs as an isolated process in the user space and take up less space than regular VMs due to their layered architecture. Figure 6: Architecture So, it will always work the same regardless of its environment. Credit Goes to @codechips