Alessandro Minoccheri’s Post

🚀 Navigating the Complex World of High Load Systems 🚀 Working with high load systems requires a blend of expertise in several critical areas to ensure performance, scalability, and reliability. Here are some key experiences and practices that have proven invaluable: 🔄 Concurrency: Managing simultaneous processes efficiently is crucial. Implementing thread-safe practices and leveraging tools like Java's ConcurrentHashMap have been game-changers in maintaining system integrity under heavy load. 🗄️ RDBMS: Robust relational database management is fundamental. Optimizing queries, indexing, and partitioning have helped in achieving high performance and consistency. 🏗️ DDD (Domain-Driven Design): Focusing on the core business logic through DDD has streamlined our systems. It ensures that our architecture aligns closely with business goals, leading to more maintainable and scalable solutions. 🧪 TDD (Test-Driven Development): Writing tests before code has improved our code quality and reduced bugs. This practice ensures that our systems are reliable and changes don’t introduce regressions. 📡 EDA (Event-Driven Architecture): EDA allows us to build responsive and scalable systems. By decoupling components and leveraging events, we've achieved better fault tolerance and scalability. ⚖️ CQRS (Command Query Responsibility Segregation): Separating read and write operations has optimized performance and scalability. CQRS enables efficient data handling and simplifies complex queries. Each of these practices and principles plays a crucial role in building resilient, high-performing systems. Embrace them to elevate your engineering skills and drive innovation in your projects. #HighLoadSystems #Concurrency #RDBMS #DDD #TDD #EDA #CQRS #SoftwareEngineering #Scalability #Performance

knowledge of the day 🗣 Modern Restapi Architecture diagram. 1. Client initiates the HTTP request. 2. REST API processes the request, performs validation, and business logic. (handles authentication, routing, rate-limiting, and other concerns.) 3. Service Layer (or microservices) processes specific tasks (e.g., interacting with the database or other microservices). 4. Database stores/retrieves data. 5. External APIs may be called for third-party integrations. 6. Response is sent back to the client via the API Gateway or directly. #restapi #apis #knowledge #programming #softwaredevelopers #fastapi #developers

🌟 From Idea to Deployment: My Latest Personal Project: I recently had the opportunity to build an exciting personal project entirely from scratch—a journey that combined requirement analysis, system design, and cutting-edge technologies to deliver a robust, high-performance solution. 🌟 End-to-End Contributions ✅ Requirement Analysis: Worked closely to understand and refine business needs, ensuring the system met all objectives. ✅ System Design: Crafted a scalable, maintainable, and high-performing architecture. 🌟 Technical Highlights ✅ Adopted Clean Architecture for modular and maintainable code. ✅ Applied Domain-Driven Design (DDD) to align the codebase with business processes. ✅ Used CQRS to separate read and write operations, improving clarity and scalability. ✅ Built an Event-Driven Architecture to manage asynchronous workflows. 🌟 Core Implementations ✅ Automated Domain Entity Configuration for efficient data modeling. ✅ Created Generic Repositories for consistent data access. ✅ Leveraged Domain Events and Handlers within a Unit of Work to trigger real-time workflows. ✅ Used Fluent Validation to ensure data integrity through robust input validation. 🌟 Tech Stack ✅ .NET 8: Harnessed its latest features for performance and scalability. ✅ Entity Framework Core + PostgreSQL for reliable database operations. ✅ Dapper: Optimized for ultra-fast query performance. ✅ .NET Identity: Enabled secure authentication and role-based access control. 🌟 Deployment and Performance Fully Dockerized the application for portability and scalability. Seamlessly deployed to DigitalOcean, ensuring high availability and efficient resource usage. 🌟 This project was a rewarding experience that challenged my technical and problem-solving skills, from concept to implementation and deployment. I’m excited to apply these insights to future projects! #dotnet #CleanArchitecture #DDD #CQRS #EventDrivenArchitecture #Docker #DigitalOcean #PostgreSQL #SystemDesign

As a developer, I’m always looking for ways to build more scalable, efficient applications. In my latest Medium article, I have explored Command Query Responsibility Segregation (CQRS) in C#, a powerful pattern that has transformed how I approach complex systems. Whether you’re a developer just starting with C# or looking to improve your application’s architecture, CQRS can offer you a fresh perspective on managing commands and queries separately, making your code more organized and scalable. Curious to learn how? Check out the article, and let’s discuss how CQRS could help your projects, too! 👇 🔗 [Using CQRS in C#](https://lnkd.in/dwmNJiwk) #CQRS #designprinciples #DesignPattern #SoftwareEngineer #SoftwareDeveloper #Developer

Popular .NET libraries commonly used in .NET development: 1. Newtonsoft.Json: A widely used library for JSON serialization and deserialization. It offers flexible options for working with JSON data in .NET applications. 2. Entity Framework Core (EF Core): A modern object-database mapper for .NET that helps developers work with databases using .NET objects, making data access code simpler. 3. Serilog, NLog: A logging library for .NET that allows for structured logging. It provides support for various logging sinks and is highly configurable. 4. AutoMapper: A library used for mapping objects to each other, which helps simplify the process of transferring data between different layers of an application. 5. FluentValidation: A library for creating strongly-typed validation rules for .NET objects using a fluent interface, making validation logic cleaner and more maintainable. 6. Polly: A resilience and transient-fault-handling library for .NET, allowing developers to add retry, circuit-breaker, and other resilience strategies to applications. 7. Dapper: A lightweight and high-performance micro-ORM for .NET, known for its simplicity and ease of use when executing raw SQL queries. 8. RestSharp: A library for building HTTP requests and consuming RESTful APIs. It simplifies the process of making HTTP calls and handling responses in .NET applications. 9. MassTransit: Message-based communication and microservices architecture. It is a lightweight service bus framework that simplifies implementing distributed applications, enabling developers to easily integrate messaging patterns like publish/subscribe, request/response, and message routing. 10. XUnit: Primarily for writing unit tests. ✓ Parameterized Tests: Supports writing data-driven tests using [Theory] and [InlineData] attributes, allowing developers to run the same test with different input data. ✓ Asynchronous Testing: Fully supports async/await, enabling developers to write asynchronous unit tests without any special setup. #entityframework #libraries #dotnet #skills #learnings #coding #development #technologies #newtechnologies #testing #API #messaging #logging #routing #httpmethods #json #asynchronous #validations #retrymechanisms

Attend or Watch DevLive: Build with Data and AI on May 9, 2024 | Convene New York City at 225 Liberty Street https://lnkd.in/e2YyM72X This free event is about one thing: elevating builders like you, with an emphasis on data and AI. Expect a wealth of high-impact technical expertise from top Oracle developers. If you can’t attend in person, watch the keynotes with DevLive On Air – a free, interactive digital experience. Helidon 4 on Virtual Threads [LRN1015] Java Virtual Threads is considered one of the most significant features to come to Java since version 1.  With Java 21 and virtual threads, we can finally say goodbye to reactive programming and focus on Java written as blocking, with performance comparable to that of reactive services. Helidon 4 is 100% open source, cloud native, k8s friendly and natively built specifically for virtual threads. We introduce virtual threads and their benefits in microservices when using Helidon microservices framework. Helidon allows developers to get the most benefit including very efficient use of cpu, much lower memory footprint and a traditional blocking style of code while getting all the performance benefits of reactive coding w/o the associated debugging/code readability/management nightmare. Join us as we explore building with Helidon 4 on Virtual Threads! https://helidon.io/ https://lnkd.in/ejJYWAj6 #java #microservice #cloudnative #kubernetes Helidon—Bring on Virtual Threads [HOL1016] Hands-on Lab NOTE: Bring your laptop to follow along for the best hands-on experience. Laptops are not provided. Learn how to implement a service using Helidon 4. Discover the features and benefits of virtual threads and see how they’re used in Helidon 4 as we guide you through using the Helidon starter to create a Helidon application. Walk away with multiple high-performance techniques and options for writing services with Helidon designed and optimised for Java 21. https://lnkd.in/eZVMk3tm

I've been contemplating why enterprises are still hesitant to adopt Quarkus like modern frameworks, and here are some interesting insights: 💡 Understanding Dependency Injection (DI) Frameworks: ✅ Compile-time Dependency Injection: Dependencies are set up during code compilation, much like prepping all ingredients before cooking. This approach boosts program speed as everything is ready ahead of time. ✅ Run-time Dependency Injection: Dependencies are injected while the program is running, akin to fetching ingredients from the pantry as needed. This method is more flexible, allowing changes without recompiling the code. 🚦 In essence, compile-time DI sets the stage before the performance, while run-time DI adjusts the scene as the play progresses. Both methods ensure that all necessary components are available for the application to function smoothly. #Java hashtag #Quarkus hashtag #CloudNative hashtag #Kubernetes hashtag #GraalVM hashtag #Microservices

📢 CQRS (Command Query Responsibility Segregation) ⚡ CQRS is a powerful design pattern that separates write and read operations into two distinct models: 🖊️ Commands handle data updates in the Write Database. 👓 Queries handle data retrieval from a Read Database (optimized for fast reads). 💡 Why use CQRS? 🚀 Faster performance: Optimized for both writes and reads. 📈 Scalability: Scale read and write operations independently. 🔄 Eventual consistency: Keeps your system flexible and efficient. #Java #SystemDesign #DistributedSystems #SpringBoot #Microservices

🚀 Understanding Interceptors in Entity Framework Core 🚀 Interceptors in Entity Framework Core (EF Core) are tools that let you control what happens during database operations. They can help you add custom behavior, like logging or enforcing rules, without changing your main code. Real World Scenario: Imagine you have an online store and you want to log every database command for auditing. With interceptors, you can log these commands without changing your main application code. Short Example: Here's a simple example of using an interceptor to log database commands: public class CommandLoggingInterceptor : DbCommandInterceptor {    public override InterceptionResult<DbDataReader> ReaderExecuting(        DbCommand command,        CommandEventData eventData,        InterceptionResult<DbDataReader> result)    {        Console.WriteLine($"Executing command: {command.CommandText}");        return base.ReaderExecuting(command, eventData, result);    } } public class MyDbContext : DbContext {    protected override void OnConfiguring(DbContextOptionsBuilder optionsBuilder)    {        optionsBuilder.AddInterceptors(new CommandLoggingInterceptor());    } } In this example, the CommandLoggingInterceptor logs the command text to the console whenever a database command is executed. Advantages: 1. More Control: You can add custom actions at different points in the database operation process. 2. Enforce Rules: Make sure business rules are followed by modifying operations before or after they happen. 3. Logging: Keep track of database operations for monitoring and debugging. Disadvantages: 1. Complexity: Adding interceptors can make your code more complicated. 2. Performance: They might slow down your application a bit. 3. Limited Use: Some features only work with relational databases. #entityframeworkcore #dotnet #softwaredevelopment #programming #techtrends #coding #datamanagement #softwareengineering #techcommunity #devcommunity #dotnetcore #csharp #efcore #interceptor #interceptors

Automated API testing in your CI/CD pipeline is a powerful way of reducing bugs and catching inconsistencies. Andrew Steurer wrote a great post over on the Fermyon Technologies blog about how to automated API testing with GitHub Actions, SQLite, and Spin. https://lnkd.in/gs4RtT9S #sqlite #github #ghactions #cicd #testing #spin