Software-Architecture

Mastering System Design Through Diagrams: A Personal Journey A few years ago, I found myself in an interview where I was asked about architecture diagrams—and honestly, I choked. That moment was a wake-up call. I realized that if I wanted to be confident in system design and convey my ideas clearly, I needed to make diagrams a core part of my process. Today, I’m sharing my step-by-step approach to diagramming through the various stages of system development. Not only will this guide help you in interviews, but it also serves as a roadmap to developing well-thought-out systems. ...

Exploring Major Software Architecture Patterns: A Comprehensive Guide Here are 20 major software architecture patterns along with brief explanations: Layered (N-Tier) Architecture: Organizes software into layers, each with a specific responsibility, such as presentation, business logic, and data access. This separation enhances maintainability and scalability. Microservices Architecture: Breaks down an application into small, independent services that communicate over a network. This allows for flexible scaling and deployment. Event-Driven Architecture (EDA): Uses events to trigger and communicate between decoupled services. It is highly scalable and suitable for real-time processing. ...

Microservices vs Distributed Systems Architecture: A Deep Dive Let’s dive deeper into Microservices Architecture and Distributed Systems Architecture. Microservices Architecture Microservices Architecture is an architectural style that structures an application as a collection of small, autonomous services modeled around a business domain. Each service is self-contained and implements a single business capability. Here are some key aspects: Independence: Each microservice can be developed, deployed, and scaled independently. This allows teams to work on different services simultaneously without affecting others. Communication: Microservices communicate with each other using well-defined APIs, typically over HTTP/HTTPS, WebSockets, or messaging protocols like AMQP. Data Management: Each service is responsible for its own data persistence. This decentralization helps avoid bottlenecks and allows services to use different databases or storage solutions. Polyglot Programming: Services can be built using different programming languages, frameworks, or technologies, enabling teams to choose the best tools for each service. API Gateway: An API Gateway often serves as the entry point for clients, handling requests, routing them to the appropriate services, and performing cross-cutting concerns like authentication and logging. Distributed Systems Architecture Distributed Systems Architecture involves multiple software components spread across different computers that work together as a single system. Here are some key aspects: ...

Mastering the Retry Pattern: Enhancing Application Resiliency The retry pattern is a crucial design technique for improving the resiliency of applications, especially when dealing with transient faults in external systems. Let’s explore its purpose, implementation, and how it contributes to robust architecture. Purpose of the Retry Pattern Automatic Retries: Enables applications to automatically retry a failed operation due to transient faults. Graceful Error Handling: Improves user experience by addressing errors seamlessly. Increased Reliability: Allows applications to recover from temporary issues, ensuring dependable performance. Key Concepts of the Retry Pattern Transient Faults: Temporary issues like network glitches, timeouts, or service throttling that are likely to succeed upon retry. Retry Interval: The delay between attempts, which can follow a fixed interval, exponential backoff, or a custom logic. Max Retry Attempts: Specifies the maximum number of retries before declaring the operation as failed. Implementation Example in C# Here’s how to implement a retry pattern using C#: ...

Here’s a diagram that explains the CQRS (Command Query Responsibility Segregation) pattern. I’ll first describe it in detail and then provide the image: Diagram Description Client: The user interface or API that sends commands and queries. Command: Represents an action that changes the state of the system (e.g., CreateOrder, UpdateCustomer). Query: Represents a request for data without changing the state (e.g., GetOrder, GetCustomerDetails). Command Handler: Processes the command and updates the data in the Write Model. Write Model (Data Store): The data store where the state-changing operations are performed. Event: Represents the outcome of a command and is used to update other parts of the system. Event Store: Stores the events generated by command handlers. Event Handler: Listens to events and updates the Read Model. Read Model (Data Store): Optimized for read operations, often denormalized for fast querying. Query Handler: Retrieves data from the Read Model in response to queries. The separation of write and read models allows for independent optimization, scalability, and security for both operations. ...

Using Wolverine to Delay Messages in C# Wolverine’s feature for delaying messages can be a great alternative to using Task.Delay. Below, I’ll show you how to modify the solution to use Wolverine’s delayed messaging capabilities. 1. Setup Wolverine with Delayed Messaging Make sure you have the Wolverine NuGet package installed. dotnet add package Wolverine 2. Create a Wolverine Configuration with Delayed Messaging Configure Wolverine to handle delayed messaging. using Wolverine; using Microsoft.Extensions.Hosting; public class WolverineConfig : IWolverineRegistry { public void Configure(IWolverineOptions options) { options.PublishAllMessages().ToRabbitMq("rabbitmq://localhost"); options.ListenToRabbitMq("rabbitmq://localhost").QueueName("writeQueue"); } } 3. Modify WriteOperation Class Publish a delayed message using Wolverine after synchronizing the time. ...