Introduction The article highlights the importance of limiting the concurrent asynchronous operations, which in turn improves performance. Learning Objectives The common mistake all developers do How to use limit concurrent async operations Best Practices Prerequisites for Developers Basic understanding of C# programming language Basic understanding of asynchronous programming using async await Getting Started The common mistake all developers do Consider an example where the user wants to load data asynchronously within a method, and it highlights the common mistake developers make. (async item => await ProcessItem(item));
/// <summary>
/// Old approach with classic async await 
/// </summary>
/// <returns></returns>
public async static Task OldApproach(List<string> items)
{
    var tasks = items.Select(async item => await ProcessItem(item));
    await Task.WhenAll(tasks);
} The approach may look clean and simple, but it initiates tasks for each item in the collection concurrently. This can cause system strain under heavy List<string> items, which will produce poor application performance. Optimized approach with Concurrency Limit Let’s transform the above method using SemaphoreSlim to limit the number of concurrent asynchronous operations. The following code snippet demonstrates the more refined approach. /// <summary>
/// Optimized approach with limit concurrency
/// </summary>
/// <returns></returns>
public static async Task OptimizedApproachAsync(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);
    }
} The aforementioned code prevents the system from being choked by too many concurrent tasks. Best Practices Please find below the best practices Limit Concurrency To balance system load and resources, it is recommended to use SemaphoreSlim Avoid Blocking Calls Avoid using  .Result or .Wait(), as they can lead to deadlocks and degrade performance. Async all the way Avoid mixing async and sync code. Ensure all methods are async from top to bottom to prevent deadlock and make optimal use of resources. Conclusion Asynchronous programming in C# involves more than just understanding the async and await keywords; it requires more features like concurrency, resource utilization, and code structure Complete Code on GitHub GitHub — ssukhpinder/30DayChallenge.Net C# Programming🚀 Thank you for being a part of the C# community! Before you leave: If you’ve made it this far, please show your appreciation with a clap and follow the author! 👏️️ Follow us: | | | | | X LinkedIn Dev.to Hashnode Newsletter Tumblr Visit our other platforms: | | | | GitHub Instagram Tiktok Quora Daily.dev More content at C# Programming Also published . here

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The 30-Day .NET Challenge Day 14: Limit Concurrent Async Operations

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