Types of Databases
Software Architectural Patterns
Software Architectural Patterns:
1. Event-Driven Architecture: - Components: Event Producer, Event Broker, Event Consumers. - Usage: Real-time data processing and highly scalable applications, like financial systems and IoT.
2. Layered Architecture: - Layers: Presentation, Business/Application, Data Access, Persistence, Infrastructure. - Usage: Enterprise applications with complex business rules.
3. Monolithic Architecture: - Structure: All functionalities integrated into a single application. - Usage: Simpler applications, can become cumbersome as the app grows.
4. Microservice Architecture: - Components: API Gateway, Microservices (e.g., Catalog, Shopping Cart, Ordering). - Usage: Large, complex applications requiring high scalability and independent deployment.
5. MVC (Model-View-Controller) Architecture: - Components: Model (data and logic), View (user interface), Controller (handles input). - Usage: Web applications to separate concerns for easier management.
6. Master-Slave Architecture: - Components: Master Server (writes), Slave Servers (reads), Database. - Usage: Load balancing and high availability, suitable for large-scale databases.
What is Deadlock?
40 Tips from a Senior to Junior Developer
40 Tips From A Senior to a Junior developer
40 Tips From A Senior to a Junior developer
— Nelson Djalo | Amigoscode (@AmigosCode) May 10, 2024
1. Master the Basics: Ensure you have a strong grasp of fundamental programming concepts.
2. Write Readable Code: Prioritize readability over cleverness.
3. Use Version Control: Learn Git and make frequent commits with meaningful… pic.twitter.com/4YW7N1apcG
1. Master the Basics: Ensure you have a strong grasp of fundamental programming concepts. 2. Write Readable Code: Prioritize readability over cleverness. 3. Use Version Control: Learn Git and make frequent commits with meaningful messages. 4. Understand Your Tools: Get familiar with your IDE, debugger, and terminal. 5. Comment Wisely: Use comments to explain why, not what. 6. Practice Problem-Solving: Regularly work on coding challenges to improve your skills. 7. Learn Design Patterns: Study common design patterns and their use cases. 8. Ask Questions: Don’t hesitate to seek help when stuck. 9. Read Documentation: Thoroughly read the documentation for libraries and frameworks you use. 10. Write Tests: Develop a habit of writing unit and integration tests. 11. Refactor Regularly: Continuously improve your codebase. 12. Learn Debugging: Master the art of debugging to solve issues efficiently. 13. Understand Algorithms: Study common algorithms and their complexities. 14. Keep Learning: Stay updated with new technologies and industry trends. 15. Build Projects: Work on side projects to apply what you learn. 16. Use Code Reviews: Participate in code reviews to learn from others and improve your code. 17. Learn SQL: Know how to work with databases and write efficient queries. 18. Learn about the business domain you’re working in. 19. Build relationships with other developers. 20. Stay Organized: Use task management tools to keep track of your work. 21. Optimize Code: Write efficient code but avoid premature optimization. 22. Understand basic security practices. 23. Maintain good documentation for your projects. 24. Follow Best Practices: Adhere to industry best practices and coding standards. 25. Work on Soft Skills: Improve communication and teamwork skills. 26. Stay Humble: Be open to feedback and willing to admit mistakes. 27. Contribute to Open Source: Participate in open source projects to gain experience. 28. Practice Pair Programming: Collaborate with peers to solve problems together. 29. Understand the Full Stack: Gain knowledge of both front and back-end development. 30. Automate Repetitive Tasks: Use scripts and tools to automate repetitive tasks. 31. Monitor Performance: Use tools to monitor and improve application performance. 32. Keep Code Simple: Aim for simplicity in your code. 33. Learn from Mistakes: Analyze and learn from your errors. 34. Set Goals: Define and work towards personal and professional goals. 35. Be Patient: Development takes time; be patient with your learning process. 36. Read Books: Invest time in reading programming and technology books. 37. Join Communities: Engage in developer communities. 38. Stay Healthy: Maintain a healthy work-life balance. 39. Use Modern Practices: Embrace agile, DevOps, and continuous integration/deployment practices. 40. Mentor Others
Git pull —rebase
Always try using git pull —-rebasebefore a git pull. Here’s why:
SOLID
Locality of Behaviour Principle
LOB!
”**The LoB principle dictates that the behavior of a unit of code should be as obvious as possible by looking only at that unit of code.” ** I totally agree. That makes perfect sense. And many developers, across several generations, would collectively sigh in relief at this sentiment. Because it’s true.
https://htmx.org/essays/locality-of-behaviour/
But also:
https://www.eloquentarchitecture.com/locality-of-behavior/
Why would a more complicated and miserable experience be preferred over one that was fat-free and transparent. My mantra in life – not just in software development – is, there is no topic on this Earth so complicated that it can’t be broken down into layers, bite-size-chunks and rudiments, so that a dummy layperson can’t understand it. For example, I don’t understand how Nuclear Fission works… but I’ll bet someone could get me to a decent level of application if they had 2-weeks with me and a decent set of teaching materials.
This post is a reaction to, and in part an agreement with, https://www.youtube.com/@ThePrimeTimeagen who has a video critiquing the SOLID principles of computer science. There’s some controversy in there (quite right, as there should be), I agree with some of his points, but every single one. His channel is worth checking out.
