Tools for Creating Software Architecture Diagrams

Useful Code-to-Diagram Tools for Software Architecture - Diagrams - Go Diagrams - Mermaid - PlantUML - ASCII diagrams - Markmap Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): https://bit.ly/496keA7 #systemdesign #coding #interviewtips

Code design solution for dynamic validation on object types! Have you built an input or objects validator before? Compare your implementation 🤝 #code_design #software_architecture #design_patterns

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𝐁𝐮𝐥𝐤𝐡𝐞𝐚𝐝 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 — 𝐊𝐞𝐞𝐩 𝐘𝐨𝐮𝐫 𝐒𝐲𝐬𝐭𝐞𝐦 𝐀𝐟𝐥𝐨𝐚𝐭 When one part of your system fails… Does it take the rest down with it? That’s where the Bulkhead Pattern comes in — inspired by ship design, used in resilient software. It’s simple: 𝐈𝐬𝐨𝐥𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬! - Limit concurrent execution per service - Reject excess load before it causes trouble Polly v8, doesn't have the exact policy anymore, but it allows us to configure a RateLimiter to mimic that. 💡 I put together a visual explainer that shows how this works — with real examples and how to implement it in C# using Polly: ✅ Isolate failures ✅ Protect critical paths ✅ Improve system resilience 👇 Have you heard about the bulkhead pattern, or used the pattern in your architecture? How do you isolate failures across services? #microservices #dotnet #resilience #faulttolerance #softwarearchitecture #polly

𝗜'𝗺 𝗮 𝗵𝘂𝗴𝗲 𝗳𝗮𝗻 𝗼𝗳 𝗺𝗼𝗰𝗸𝗲𝗿𝘆 𝗽𝗮𝗰𝗸𝗮𝗴𝗲, 𝗯𝘂𝘁 `𝘁𝗲𝘀𝘁𝘁𝗵𝗮𝘁::𝗹𝗼𝗰𝗮𝗹_𝗺𝗼𝗰𝗸𝗲𝗱_𝗯𝗶𝗻𝗱𝗶𝗻𝗴𝘀` 𝗶𝘀 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝘁𝗼 𝗴𝗿𝗼𝘄 𝗼𝗻 𝗺𝗲. The surprising part? It's not just changing my test code, it's changing how I write production code. 𝗧𝗵𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗵𝗶𝘁 𝗺𝗲 𝘄𝗵𝗶𝗹𝗲 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗮 𝗤𝘂𝗮𝗿𝘁𝗼 𝗿𝗲𝗽𝗼𝗿𝘁 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗳𝗿𝗼𝗺 𝗺𝗮𝗻𝘆 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀. I had functions calling 𝚂𝚢𝚜.𝚒𝚗𝚏𝚘(), and 𝚢𝚊𝚖𝚕::𝚛𝚎𝚊𝚍_𝚢𝚊𝚖𝚕() directly. Those are the usual suspects for intermittent tests or extensive test setup. Then I started wrapping those function calls in my own functions and using them from production code. But it payed off with clean, simple stubs: 𝚕𝚘𝚌𝚊𝚕_𝚖𝚘𝚌𝚔𝚎𝚍_𝚋𝚒𝚗𝚍𝚒𝚗𝚐𝚜(   𝚐𝚎𝚝_𝚌𝚞𝚛𝚛𝚎𝚗𝚝_𝚝𝚒𝚖𝚎 = 𝚏𝚞𝚗𝚌𝚝𝚒𝚘𝚗() 𝚊𝚜.𝙿𝙾𝚂𝙸𝚇𝚌𝚝("𝟸𝟶𝟸𝟹-𝟶𝟷-𝟶𝟷 𝟷𝟸:𝟶𝟶:𝟶𝟶") ) That's when it clicked: 𝗜 𝘄𝗮𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗺𝗮𝗸𝗶𝗻𝗴 𝘁𝗲𝘀𝘁𝘀 𝗲𝗮𝘀𝗶𝗲𝗿, 𝗜 𝘄𝗮𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀. Those wrapper functions became injection points. Today they call system functions, tomorrow they could read from APIs, databases, or anything else. Production code becomes more modular without trying. Every external dependency is now a conscious design decision that can be swapped, tested, or upgraded independently. Read the full post to see how this simple pattern transforms both your testing strategy and code design.

What are the benefits of Clean architecture? - Modularity - Separation of concerns - Testability of business logic - Improved team productivity - Loose coupling of components There's no "right" way to build software. You should decide what works for you. Clean architecture works well for me. I've used it to build excellent products. If you want to get started quickly, I've created a free Clean Architecture template. You can download it here: https://lnkd.in/ekMyTe3N

Building Better Software: Cohesion, Coherence & Coupling Cohesion → focus each module on one purpose (high is good) Coherence → keep the system logically consistent (high is good) Coupling → reduce interdependencies between modules (low is good) ✅ Good design = High Cohesion + High Coherence + Low Coupling --- Suggested Hashtags: #SoftwareDesign #CleanCode #SoftwareEngineering #CodingBestPractices #SOLID #SystemDesign #Architecture

From Configuration to Composition: Revolutionizing System Design with Bindable Components In the beginning, working with Dependency Injection (DI) often feels like a breakthrough. It gives developers cleaner, decoupled code, makes testing straightforward, and encourages modular design. At first, it seems like the ultimate solution: more clarity, more flexibility, less chaos. But as systems grow and teams expand, the shine wears off. Suddenly, the architecture that once felt liberating starts to look like a maze of configuration files, wiring, and documentation. Adding a feature becomes less about building something new and more about navigating what already exists. The question is no longer “how do I create this?” but rather “where is this already defined, and how do I avoid breaking it?” This is where the conversation shifts: from the promise of simplicity to the reality of hidden complexity. And it’s this tension that sparks the search for a different model - one built not on static configuration, but on discovery and composition. Dependency Injection is elegant in theory https://lnkd.in/gcsRTzef

How do you draw architectural diagrams? One of the most popular approaches is using UML diagrams. However, there's also the C4 model. C4 stands for: - (System) Context Diagram - Container Diagram - Component Diagram - Code Diagram It's a lightweight model to describe your architecture. Want to learn more about the C4 model? Check out this article: https://lnkd.in/epMtesec What do you use for documenting software architecture? --- Sign up for the .NET Weekly with 72K+ other engineers, and get a free Clean Architecture template: https://lnkd.in/e756tX44