How to scale API endpoints effectively in a .NET service architecture?
I'm integrating two systems and I've searched everywhere and can't find a clear answer. Currently developing a microservices architecture for a financial application using .NET 6. The system needs to handle a significant increase in user traffic, especially during peak hours. I've been experimenting with different strategies to effectively scale our API endpoints, but I’m running into some challenges. For instance, I'm using Azure API Management as a gateway, which works well for routing, but I need to ensure that my backend services can scale simultaneously. I've implemented the circuit breaker pattern with Polly to manage transient faults, but I’m curious about further optimizations. Here's a snippet of how I'm applying Polly: ```csharp services.AddHttpClient("MyService") .AddTransientHttpErrorPolicy(p => p.CircuitBreakerAsync(3, TimeSpan.FromSeconds(30))); ``` While this has improved resilience, I suspect there are still bottlenecks, particularly around database access. Our current setup uses Entity Framework Core with SQL Server, and I’m concerned about how we can optimize queries to handle higher loads. In an effort to address this, I’ve tried using `AsNoTracking()` for read-heavy queries, but it hasn't significantly impacted performance. Here's an example of the query I’m running: ```csharp var data = await context.MyEntities.AsNoTracking().ToListAsync(); ``` Additionally, I’ve enabled `Connection Pooling` in SQL Server, which helps, but I wonder if I should consider options like Redis cache for frequently accessed data. Another area I’m looking into is horizontal scaling. I’m thinking of deploying instances in different regions to reduce latency. Yet, the challenge lies in synchronizing state across services. Does anyone have insights on best practices for state management in such distributed systems? I’d appreciate any recommendations for monitoring tools as well. Currently, we are using Application Insights, but are there other tools or techniques that can help identify performance bottlenecks more effectively? Thank you for any guidance on scaling strategies for .NET APIs in a cloud environment! I'm working on a application that needs to handle this. What am I doing wrong? For context: I'm using C# on Debian. What am I doing wrong? I'm coming from a different tech stack and learning C#. I appreciate any insights!