DotNet Full Stack Dev

One of the most powerful features of .NET Core is its cross-platform nature. Unlike the traditional .NET Framework, which was limited to Windows, .NET Core allows you to build your application once and run it on Windows , Linux , or macOS . This makes it an excellent choice for modern, scalable, and portable applications. In this blog, we’ll explore how .NET Core achieves this, the underlying architecture, and how you can leverage it to make your applications truly cross-platform. Key Features of .NET Core for Cross-Platform Development Platform Independence : .NET Core Runtime is available for multiple platforms (Windows, Linux, macOS). Applications can run seamlessly without platform-specific adjustments. Build Once, Run Anywhere : Compile your code once and deploy it on any OS with minimal effort. Self-Contained Deployment : .NET Core apps can include the runtime in the deployment package, making them independent of the host system's installed runtime. Standardized Libraries ...

RabbitMQ is a robust message broker that enables communication between services in a decoupled, reliable manner. In this guide, we’ll implement RabbitMQ in a .NET Core application to connect two microservices: Shopping Cart API (Producer) and Order API (Consumer). 1. Prerequisites Install RabbitMQ locally or on a server. Default Management UI: http://localhost:15672 Default Credentials: guest/guest Install the RabbitMQ.Client package for .NET: dotnet add package RabbitMQ.Client 2. Architecture Overview Shopping Cart API (Producer): Sends a message when a user places an order. RabbitMQ : Acts as the broker to hold the message. Order API (Consumer): Receives the message and processes the order. 3. RabbitMQ Producer: Shopping Cart API Step 1: Install RabbitMQ.Client Ensure the RabbitMQ client library is installed: dotnet add package RabbitMQ.Client Step 2: Create the Producer Service Add a RabbitMQProducer class to send messages. RabbitMQProducer.cs : using RabbitMQ.Client; usin...

  API calls are the backbone of modern applications, and monitoring them is crucial for debugging, performance analysis, and error tracking. If you need to track your application’s API calls and identify where logging happens , this guide will show you how to implement effective tracking mechanisms, log strategically, and pinpoint issues in your application. Why Track API Calls and Logs? Debugging and Troubleshooting : Identify bottlenecks and failures in the API workflow. Performance Monitoring : Track response times and optimize slow endpoints. Compliance and Audit : Log API usage for compliance and security auditing. Behavior Analysis : Understand usage patterns and optimize frequently used APIs. Step 1: Add Middleware to Track API Calls In ASP.NET Core , middleware is a powerful way to intercept requests and responses. You can use custom middleware to log details about incoming API calls. Example: Logging Middleware Create a RequestLoggingMiddleware : public class RequestLog...

  When deploying applications on Kubernetes, most use cases involve stateless workloads. However, some applications require each instance to maintain a unique identity, persistent storage, or stable network identifiers. For such cases, Kubernetes provides StatefulSets , a resource designed specifically for managing stateful applications. What are StatefulSets? StatefulSets are a Kubernetes workload API object used to manage stateful applications. Unlike Deployments or ReplicaSets, StatefulSets provide guarantees about the order and uniqueness of pod creation, scaling, and deletion. Key Features of StatefulSets Stable Network Identity : Each pod in a StatefulSet gets a stable hostname that doesn’t change even if the pod is restarted. Hostnames follow the pattern: pod-name-[ordinal] . Persistent Storage : StatefulSets work seamlessly with persistent volumes (PVs), ensuring that storage is not lost even if pods are terminated or rescheduled. Ordered Deployment and Scaling : Pods are ...

When it comes to software development, Low-Level Design (LLD) is the step where high-level architectural ideas are converted into detailed, implementable designs. It’s where abstract concepts meet the reality of coding, helping developers build systems that are maintainable, efficient, and scalable. In this blog, we’ll explore what LLD encompasses, its importance, and walk through a practical example in C# to bring these concepts to life. What Does LLD Cover? Low-Level Design focuses on: Class Design : Defining attributes, methods, and relationships between classes. Object Interactions : Explaining how objects collaborate to fulfill functionality. Algorithm Design : Writing detailed logic for processing data. Database Schema : Mapping data needs into relational tables or NoSQL structures. Validation and Error Handling : Planning for edge cases, exceptions, and input validation. How Does LLD Differ from HLD? Practical Example: Online Library System Scenario You’re tasked with designin...

  When embarking on a software project, a well-thought-out High-Level Design (HLD) is crucial to guide development and ensure a scalable and maintainable system. It’s the bridge between abstract requirements and detailed implementation. But what exactly does HLD include, and how do you create one? In this blog, we’ll break down the components of HLD, provide a real-world example, and explore how to represent them in C#. What is High-Level Design (HLD)? HLD provides a blueprint of the system architecture . It defines the structure, components, and interactions at a macro level, focusing on "what" the system should do rather than "how" it does it. What HLD Includes System Architecture : The overall structure of the system, including its major components and their relationships. Diagrams like component diagrams or architecture flow diagrams are often used. Modules and Subsystems : A breakdown of the system into modules or subsystems, each responsible for specific func...

In modern application architecture, queues play a pivotal role in enabling asynchronous communication and decoupling components. While designing your system, choosing between a stateless queue and a stateful queue is critical for achieving the right balance of performance, scalability, and reliability. Let’s explore the differences between stateless and stateful queues , their use cases, and how to choose the best option based on key decision factors. What is a Stateless Queue? A stateless queue is a simple, lightweight message delivery mechanism where: The queue does not persist state about the consumers or the processing of messages. Messages are dequeued and processed without tracking delivery guarantees, retries, or consumer progress. Common examples: Azure Queue Storage , Amazon SQS (Standard Queue) . Characteristics of Stateless Queues: Message Delivery : At-least-once or best-effort delivery. No State Management : No tracking of which consumer has processed which message. ...