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How to Build High-Performance Microservices Using .NET 10

How to Build High-Performance Microservices Using .NET 10

Today’s digital products need to be fast, stable, and ready to grow. Users expect applications to load quickly, work smoothly, and stay online even when many people use them at the same time. Businesses also want systems that are easy to update, easy to scale, and cost-effective to maintain.
 
In the past, many applications were built as monolithic systems, where everything lives inside one large codebase. While this approach works in the beginning, it becomes difficult to manage as the product grows. Adding new features takes more time, scaling becomes expensive, and a single failure can affect the entire system.
 
This is where microservices architecture becomes useful. When combined with .NET 10, microservices help businesses build systems that are fast, flexible, and ready for the future.
 
We design and build high-performance microservices using the latest .NET technologies. We help startups and large companies create systems that scale smoothly and perform well under real-world conditions.
 
This guide explains:
 
  • What microservices are

  • Why .NET 10 is a strong choice

  • Core principles for high performance
  • How to build fast and efficient microservices
  • Common mistakes to avoid

  • How Sparkle Web approaches microservices development

 
 

What Are Microservices?

 
Microservices architecture is a way of building applications by breaking them into small, independent services. Each service focuses on one specific business task and works on its own.
 
Instead of building one large application, you build many smaller services that work together.
 

Key Features of Microservices

 
Microservices are:
 
  • Independent – each service runs separately

  • Deployable on its own – you can update one service without affecting others

  • Loosely connected – services talk to each other through APIs or messages
  • Scalable – each service can scale based on its own needs
  • Flexible – teams can work on different services at the same time

 

Example

 
In a traditional monolithic e-commerce app, everything might be inside one system:
 
  • Users

  • Products

  • Orders
  • Payments
  • Notifications

In a microservices system, these become separate services:
 
  • User Service

  • Product Catalog Service

  • Order Service
  • Payment Service
  • Notification Service

Each service:
 
  • Has its own logic

  • Can be updated independently

  • Can scale based on traffic
This makes the system easier to manage and faster to improve.
 
 

Why Choose .NET 10 for Microservices?

 
.NET 10 is built on years of performance improvements from earlier versions of .NET Core and .NET. It is designed to be fast, efficient, and cloud-ready, which makes it a great fit for microservices.
 

Key Benefits of .NET 10

 
.NET 10 offers:
 
  • High speed and fast response times

  • Low memory usage

  • Strong support for async programming
  • Simple APIs for lightweight services
  • Built-in tools for dependency handling

  • Excellent support for containers and cloud platforms

ASP.NET Core, which runs on .NET, is known for handling a very large number of requests efficiently. This makes it ideal for services that receive high traffic.
 
 

Core Principles of High-Performance Microservices

 
Performance does not start with code. It starts with good design choices.
 

1. One Responsibility per Service

 
Each microservice should do only one job and do it well.
 
Bad practice:
 
  • One service handling users, payments, and notifications
 
Good practice:
 
  • User Service handles user data

  • Payment Service handles payments

  • The Notification Service sends messages
 
This approach:
 
  • Keeps code simple

  • Makes testing easier

  • Improves performance and stability
 

2. Stateless Services

 
A stateless service does not store user session data in memory.
 
Why is this important?
 
  • Services can scale easily

  • Any request can go to any server

  • No special session handling is needed
 
Instead of memory, store data in:
 
  • Databases

  • Redis or distributed cache

  • External storage systems
This allows your system to grow without performance issues.
 
 

3. Database per Microservice

 
Each microservice should manage its own database.
 
Sharing a database:
 
  • Creates tight connections between services

  • Slows down performance

  • Makes changes risky
 
When each service owns its data:
 
  • Changes are safer

  • Performance improves

  • Scaling is easier
 
 

Building a High-Performance Microservice with .NET 10

 

Step 1: Use Minimal APIs

 
Minimal APIs reduce unnecessary setup and make services faster to start.
 
Example:
var builder = WebApplication.CreateBuilder(args);
var app = builder.Build();

app.MapGet("/health", () => Results.Ok("Service is running"));

app.Run();

 

Benefits:

  • Faster startup

  • Lower memory use

  • Clean and simple code
  • Ideal for microservices
 

Step 2: Use Async Code Everywhere

 
Blocking code slows down your system, especially under heavy load.
 
Blocking example:
var data = repository.GetData();
 
Async example:
var data = await repository.GetDataAsync();
 
Async programming:
 
  • Uses fewer threads

  • Handles more requests at once

  • Improves response times
 
 

High-Performance Data Access

 

Use Lightweight Data Tools

 
Entity Framework Core is powerful, but for services that read data often, lightweight tools like Dapper can be faster.
 
Example:
var products = await connection.QueryAsync<Product>(
    "SELECT * FROM Products WHERE IsActive = 1");
 
Benefits:
 
  • Faster queries

  • Less memory usage

  • Better control over SQL
 

Optimize Database Usage

 
Good practices include:
 
  • Adding proper indexes

  • Avoiding too many database calls

  • Caching frequently used data
  • Keeping queries simple
 
 

Caching for Better Performance

 
Caching reduces database load and improves speed.
 

Use Redis or Distributed Cache

 
Example:
var cached = await redis.GetStringAsync("product_123");
if (cached != null)
    return JsonSerializer.Deserialize<Product>(cached);

// Fetch from DB and save to cache
 
Benefits:
 
  • Faster responses

  • Lower database usage

  • Better performance under high traffic
 
 

Communication Between Microservices

 

Prefer Asynchronous Messaging

 
Instead of calling services directly all the time, use message systems like:
 
  • RabbitMQ

  • Azure Service Bus

  • Kafka
 
This approach:
 
  • Reduces delays

  • Avoids tight connections

  • Prevents failures from spreading
 
 

Resilience and Stability

 

Handle Failures Gracefully

 
Use tools like Polly to retry failed requests and prevent system overload.
 
Example:
services.AddHttpClient("order-service")
    .AddTransientHttpErrorPolicy(policy =>
        policy.WaitAndRetryAsync(3, retry => TimeSpan.FromMilliseconds(200)));
 
This:
 
  • Improves reliability

  • Keeps systems stable during issues

 
 

Security Without Slowing Things Down

 

Use JWT Authentication

 
JWT tokens are:
 
  • Fast

  • Stateless

  • Easy to scale
Example:
services.AddAuthentication("Bearer")
.AddJwtBearer();
 

Secure Internal Communication

 
Use:
 
  • API gateways

  • Private networks

  • Secure certificates
 
 

Containerization and Deployment

 

Use Docker for Each Service

 
Example:
FROM mcr.microsoft.com/dotnet/aspnet:10.0
WORKDIR /app
COPY . .
ENTRYPOINT ["dotnet", "ProductService.dll"]
 
Benefits:
 
  • Same environment everywhere

  • Faster deployments

  • Easy scaling
 
 

Monitoring and Observability

 

Logging

 
Use structured logging tools like Serilog:
Log.Information("Order created with ID {OrderId}", orderId);
 

Metrics and Tracing

 
Tools like:
 
  • OpenTelemetry

  • Prometheus

  • Grafana
help you:
 
  • Detect slow endpoints

  • Track memory usage

  • Monitor traffic patterns
 
 

Performance Testing

 
Before going live:
 
  • Run load tests

  • Measure response times

  • Find slow areas early
Tools:
 
  • k6

  • JMeter

 
 

Common Performance Mistakes to Avoid

 
  • Too many service-to-service calls

  • Large data responses

  • Blocking async code
  • Shared databases
  • No caching

Avoiding these mistakes saves cost and improves speed.
 
 

How We Build High-Performance .NET Microservices

 
At Sparkle Web, we focus on building systems that last.
 
Our process includes:
 
  • Strong service design

  • Performance-focused coding

  • Cloud-ready deployment
  • Secure and stable systems
  • Ongoing monitoring and improvement

We help businesses:
 
  • Reduce infrastructure costs

  • Handle high traffic smoothly

  • Release features faster
  • Scale without rebuilding everything
 
 

Conclusion

 
High-performance microservices are not about using more servers. They are about:
 
  • Smart design

  • Clean code

  • Efficient data handling
  • Continuous improvement
With .NET 10, you get:
 
  • Excellent performance

  • Cloud-ready tools

  • High developer productivity
  • Strong security
When built correctly, microservices help your business grow faster, stay reliable, and deliver better user experiences. Contact us!

    Author

    • Owner

      Dipak Pakhale

      A skilled .Net Full Stack Developer with 8+ years of experience. Proficient in Asp.Net, MVC, .Net Core, Blazor, C#, SQL, Angular, Reactjs, and NodeJs. Dedicated to simplifying complex projects with expertise and innovation.

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