Dev Shorts’ Post

🌐 Breaking the Monolithic Misconception!When we hear "monolithic architecture," many of us think of an application that relies on a single machine. But that’s not necessarily the case! 🚫💻 Monolithic design means that all components of the application — from the UI to the data access layer — are tightly integrated into a single, cohesive unit or codebase. This can make development straightforward, but it doesn't dictate where the application is deployed. 💡 In fact, a monolithic application can be scaled by deploying multiple instances across many servers or machines. 🖥️🖥️ With load balancers in place, a monolithic app can handle massive traffic while still being "monolithic" in structure. On the other hand, microservices architecture breaks the application into smaller, independent services, allowing them to be developed, deployed, and scaled independently. Merits of Monolithic Architecture: ✅ Simple to develop, test, and deploy. ✅ Easier debugging and troubleshooting due to a single codebase. ✅ Performance is often better since there's no inter-service communication overhead. Demerits of Monolithic Architecture: ❌ Harder to scale specific components independently. ❌ Larger codebase can become difficult to manage over time. ❌ Limited flexibility in adopting new technologies for specific parts of the application. Key takeaway: Monolithic design is about how your application is built, not where it runs. 🚀

Just Learned about Kubernetes Architecture, Let me explain in simple Language:- This Post will be in two Phases, in first Phase we will learn about Worker Nodes Components. There is a Master Node that controls the Cluster and manages it resources, while worker nodes execute containerized applications and tasks. Worker Nodes Components:- 1. Pod is Kubernetes Object, which hold the application containers and are responsible for running the containers. 2. To manage and deploy pods inside the Worker Nodes we have an agent named as Kubelet. This Kubelet agent is working on all Worker Nodes and gets information from Master Node where should be the Pod running and how to manage it. 3. For a Worker Machine to create and manage containers we need to have a Container Runtime Interface or a Software like Docker so Worker Machine will also contain CRI or Container Endtime interface like Docker here other options are ContainerD, Rocket etc which are also supported by Kubernetes as well. It is used to create and delete containers. 4. To enable communication between Pods or to make these Pods or Application accessible to the End Users we have another networking Component in the Worker Node which is known as Kube Proxy. Kube Proxy is used for Pod to Pod Communication also for load balancing, service proxy and to make your application accessible to the End Users. 5. You can also Add-Ons or plugins on your Worker Nodes but above the important components inside your Worker Nodes.

Details Explain of Clean Architecture In ASP.NET Core with the help of Diagram

Dependency Inversion + DDD = Domain-centric architecture A few famous examples are: - Hexagonal (ports & adapters) - Onion architecture - Clean architecture Clean architecture places the business logic and domain model at the application center. Use cases are also part of the core of the application. They orchestrate the domain model and tell it what to do. It's interesting how the dependencies between layers work. The inner layers define abstractions (interfaces). The outer layers implement these interfaces. At run time, the concrete implementations replace the interfaces. This allows you to hide the internals of things like SMS messaging, email, caching, etc. Another benefit is improved testability. The application core doesn't depend on infrastructure. So, it's easy to write automated unit tests for this layer. However, I find myself moving towards a more feature-driven approach. Similar to what Vertical Slice Architecture proposes. I will also break the dependency rule and introduce EF/Dapper in the Application layer. The thing is, I know how to maintain this kind of system. I know when to introduce an abstraction or refactor the use case. You can only learn this from experience and building many systems (and making a few mistakes). So don't obsess over architecture too much. Having the freedom to make the right architectural choice is what matters. When would you pick the Clean Architecture? Source: Milan Jovanović

Dependency Inversion + DDD = Domain-centric architecture A few famous examples are: - Hexagonal (ports & adapters) - Onion architecture - Clean architecture Clean architecture places the business logic and domain model at the application center. Use cases are also part of the core of the application. They orchestrate the domain model and tell it what to do. It's interesting how the dependencies between layers work. The inner layers define abstractions (interfaces). The outer layers implement these interfaces. At run time, the concrete implementations replace the interfaces. This allows you to hide the internals of things like SMS messaging, email, caching, etc. Another benefit is improved testability. The application core doesn't depend on infrastructure. So, it's easy to write automated unit tests for this layer. However, I find myself moving towards a more feature-driven approach. Similar to what Vertical Slice Architecture proposes. I will also break the dependency rule and introduce EF/Dapper in the Application layer. The thing is, I know how to maintain this kind of system. I know when to introduce an abstraction or refactor the use case. You can only learn this from experience and building many systems (and making a few mistakes). So don't obsess over architecture too much. Having the freedom to make the right architectural choice is what matters. When would you pick the Clean Architecture? Source: Milan Jovanović

🚀 Excited to share latest project setup using Vertical Slice Architecture! 🌟 🔍 What is Vertical Slice Architecture, you ask? It's an approach to organizing code around features rather than layers, resulting in a more cohesive and maintainable codebase. Here's a glimpse into how I set up my project from scratch: 1️⃣ **Feature-Centric Structure**: Instead of organizing code by traditional layers like controllers, services, and repositories, I structured my project around features. Each feature encapsulates all layers related to it, making it easier to understand and maintain. 2️⃣ **Dependency Injection**: Implemented dependency injection to manage dependencies between different layers within each feature. This promotes loose coupling and facilitates easier testing. 3️⃣ **Database Setup**: Configured database connections and created tables or collections based on feature requirements. Each feature has its own set of database entities, ensuring separation of concerns. 4️⃣ **Middleware and Routing**: Utilized middleware and routing mechanisms to route requests to the appropriate feature controllers. This ensures a clean and organized request-handling process. 5️⃣ **Testing**: Wrote comprehensive tests for each feature to verify its functionality. Leveraged unit testing frameworks, integration testing frameworks, and mocking libraries to ensure robustness. 6️⃣ **Documentation**: Documented the codebase to provide clarity and guidance for developers. This includes high-level overviews, API documentation, and any other relevant information. 7️⃣ **CI/CD Integration**: Set up CI/CD pipelines to automate the build, testing, and deployment processes. This streamlines development workflows and ensures consistency in deployments. 👨💻 Excited about the possibilities this architecture brings and looking forward to seeing the impact it has on our development process! #VerticalSliceArchitecture #SoftwareDevelopment #ProjectSetup #FeatureCentric #LinkedInPost Link: https://lnkd.in/eYKbsQCg

All about MACH Architecture MACH -Microservices, API-first, Cloud-native, and Headless

Architecture Patterns : Strangler Pattern The #Strangler Pattern, first described by Martin Fowler, is a software architectural pattern that describes a method of gracefully migrating a legacy system incrementally, rather than in a big bang approach. It is named after the Strangler Fig #virtualan #microservicesarchitecture #legacymodernization https://lnkd.in/eMXBAjmx

🚀 New Publication Alert: Unveiling the Power of Event-Driven Architecture (EDA) 🚀 Thrilled to share my latest piece published in Scub-Lab: "Event-Driven Architecture (EDA): A Paradigm Shift in Software Development." In an era where flexibility, scalability, and responsiveness are paramount, EDA emerges as a beacon of innovation. This architecture style not only champions asynchronous communication and decoupling but also addresses the complexities of modern digital systems with unparalleled adeptness. 🔍 What you'll discover: ▶ The essence of EDA and its operational mechanics. ▶ The profound benefits EDA offers, including scalability, flexibility, and system resilience. ▶ Navigating the trade-offs: Complexity, data consistency, and event management. ▶ Strategic integration of EDA within various architectural styles for enhanced system performance. Whether you're exploring ways to enhance your system's responsiveness or delving into the intricacies of software architecture, this paper offers comprehensive insights into making informed decisions about implementing EDA. https://lnkd.in/e9pFdzhe

Before, it used to be the realm of monolithic architecture. It was the gold standard for application design, and everything worked seamlessly from one codebase. Developers loved it because it was simple and straightforward. But times have changed, and now more and more people are moving toward different architectural approaches. So, what exactly is monolithic architecture? Monolith architecture is a way of application design where everything works from a single codebase. All the logical layers of an application works under one code base and it was considered to be the standard. Since the development, deployment and scaling of the application is done as single unit, the developers had to follow only one language and the same tech stack as the whole application is tightly coupled. It's key characteristics are single codebase, centralized deployment, shared database, tight coupling. However, monolithic architecture is not all bad. For small teams and initial small applications monoliths are perfect since they are easy to develop. There's no need to worry about different repositories and testing becomes easier. It takes less time to develop and is cost effective for startups for gathering a proof of concept. Another good thing about monoliths is that they are easy to debug locally in a single file without hopping from one environment to the other. The performance of an application with monolithic architecture is very fast as all the dependencies are in same server and zero to little latency. But keep in mind all these apply to small applications with less complexities. As applications grew bigger they became more complex so did the challenges. So, if someone changes the code of one module, the whole application needs to be redeployed instead of that specific part to be upgraded. This incurred higher infrastructural costs. Moreover, a failure in one component can bring down the entire system, leading to possible service disruptions. Also, in a monolithic architecture there are dependency of versioning problems. Additionally, dependency and versioning problems become more pronounced, making the release process slow and tedious, as every component must be thoroughly tested and built together. In essence, while monolithic architecture offers simplicity and efficiency for smaller projects, it becomes increasingly difficult to manage and scale as applications expand and become more intricate. With great assistance from Farnaz Fawad Hasan #monolithic #systemdesign #architecture