I’m working on a web project that collects and processes feeds from various online sources. The backend needs to handle heavy data crunching regularly before storing results in a database.
My plan is to use ASP.NET for serving web pages, but I’m wondering about the best approach for the intensive analysis part. Should I create separate C# binaries that run constantly on the server to handle these complex operations?
I’m concerned about performance and best practices. Is this a good way to structure the backend? Or should I consider alternatives? Any advice on managing CPU-heavy tasks in a web environment would be super helpful.
Your approach of using separate C# binaries for CPU-intensive tasks is a solid strategy. However, consider implementing a message queue system like RabbitMQ or Azure Service Bus. This would decouple your web application from the processing tasks, improving scalability and reliability. For the analysis part, you could create a Windows Service or utilize Azure WebJobs, which allow for continuous background processing without impacting your web server’s performance. Additionally, leveraging parallelization techniques in your C# code can maximize CPU utilization. Implement proper error handling and logging to monitor and debug your data processing pipeline effectively. Have you considered how you’ll handle system failures or data inconsistencies?
hey there! have u thought about using azure functions for this? they’re great for cpu-intensive tasks n can scale automatically. plus, u can write em in c# so it’d fit ur existing setup. might be worth lookin into if u haven’t already. what’s the data volume like btw?
hmmm, interesting question! have u considered using background services or worker processes? they could handle the heavy lifting without bogging down ur web server. what kinda processing are u doing exactly? maybe we could brainstorm som optimizations? id love to hear more abt ur project!