Ebrahim Aboalnaga

🔧 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 🖥️ Backend development is the backbone of any application, managing data and server interactions. It involves creating server-side logic that communicates with databases, handles user authentication, and integrates APIs to ensure smooth data flow. Key languages for backend development include Java, C#, Python, and Node.js, with databases such as MySQL, PostgreSQL, and MongoDB being crucial for data management. 🔑 𝑲𝒆𝒚 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔: 1️⃣ Building Server Logic: Crafting the core functionalities that power the application. 2️⃣ Database Management: Designing and maintaining databases for efficient data storage and retrieval. 3️⃣ API Integration: Developing and integrating APIs to connect frontend and backend seamlessly. 4️⃣ Implementing Security: Ensuring data protection through authentication methods like OAuth and JWT. 💡 𝑬𝒔𝒔𝒆𝒏𝒕𝒊𝒂𝒍 𝑻𝒐𝒐𝒍𝒔: Express.js: A minimalist web framework for Node.js. Django: A high-level Python web framework that encourages rapid development. Spring Boot: A Java framework for building production-ready applications. Flask: A lightweight WSGI web application framework for Python. Postman: For testing and documenting APIs. 🎓 𝑭𝒓𝒆𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝑹𝒆𝒔𝒐𝒖𝒓𝒄𝒆𝒔: 1️⃣ FreeCodeCamp - Backend Development: https://lnkd.in/gRfsr-dX 2️⃣ Coursera - Backend Development Courses: https://lnkd.in/gzqy_cwf 3️⃣ Codecademy - Learn Java: https://lnkd.in/gv6nhJTg 4️⃣ EdX - Python for Everybody: https://lnkd.in/gCuSQ7hP 5️⃣ YouTube - Traversy Media Backend Tutorials: https://lnkd.in/gYRjJ29q Mastering backend development allows you to build robust applications that are secure, scalable, and efficient. Stay updated with industry trends and continuously refine your skills! Keep reading the repost below for even more insights. If possible, follow the author as well. If you find this helpful, PLEASE 👍 Like (👍), Share (🔄), and Re-post (🔁)! #BackendDevelopment #Java #CSharp #Python #NodeJS #APIs #DatabaseManagement #DataSecurity #SoftwareDevelopment #WebDevelopment #FreeLearning #TechEducation #DevCommunity #Coding #LearningJourney #BackendEngineer #Microservices #AgileDevelopment #OpenSource #TechSkills #CloudComputing

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Microservice Design Patterns Below are commonly used patterns in microservice architecture: 1. Decomposition Patterns • By Business Capability: Break down the system into services that reflect business functions (e.g., payment service, inventory service). • By Subdomain: Use DDD to identify subdomains and implement each as a service. 2. Communication Patterns • API Gateway: Acts as a single entry point for clients, routing requests to the appropriate microservice. • Service Registry and Discovery: Services register themselves, and clients discover them dynamically (e.g., using tools like Eureka or Consul). • Message Brokers: Use asynchronous messaging for inter-service communication (e.g., RabbitMQ, Kafka). 3. Data Management Patterns • Database per Service: Each service manages its own database, ensuring data autonomy. • Saga Pattern: Manages distributed transactions across multiple services using event choreography or orchestration. • CQRS (Command Query Responsibility Segregation): Separates read and write operations to optimize performance and scalability. 4. Resilience Patterns • Circuit Breaker: Prevents cascading failures by stopping calls to a failing service. • Bulkhead: Isolates failures to prevent them from impacting other services. • Retries and Timeouts: Implements retries for transient failures and sets timeouts to prevent long waits. 5. Observability Patterns • Centralized Logging: Aggregates logs across services (e.g., ELK stack). • Distributed Tracing: Tracks requests across services to debug and analyze performance (e.g., Jaeger, Zipkin). • Metrics and Monitoring: Tracks metrics and alerts on system health (e.g., Prometheus, Grafana). 6. Deployment Patterns • Blue-Green Deployment: Ensures zero downtime by switching traffic between two environments. • Canary Deployment: Releases updates to a small subset of users before a full rollout. • Service Mesh: Manages inter-service communication with features like traffic routing, security, and observability. #java #microservice #designpattern #jaeger #zipkin #prometheus #grafana #ELKstack #Springcloud #eureka #consul #rabbitmq #kafka #learningeveryday

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𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐭𝐨 𝐁𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 .𝐍𝐄𝐓 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 🛣️ If you're looking for a solid career as a .NET backend developer, here are the key steps to stand out in the field: 1 - 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: Start with programming logic and foundational principles, such as: - Control structures and flow - Object-Oriented Programming (OOP) - Design Patterns - Data Structures and Algorithms (DSA) 2 - 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐨𝐟 𝐭𝐡𝐞 .𝐍𝐄𝐓 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 .𝐍𝐄𝐓 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦: Deepen your understanding of the main components of .NET, including: - Common Language Runtime (CLR) and Base Class Library (BCL) - Memory management and garbage collection - Exception handling and asynchronous programming 3 - 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐅𝐫𝐨𝐧𝐭-𝐄𝐧𝐝 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐖𝐞𝐛 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Learn to build applications and integrate front-end technologies such as: - Angular, React, or Blazor - Development of RESTful APIs and middleware 4 - 𝐃𝐚𝐭𝐚 𝐀𝐜𝐜𝐞𝐬𝐬 𝐚𝐧𝐝 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Master the use of: - Entity Framework Core for ORM - LINQ for data queries 5 - 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐧𝐝 𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬: Understand how to construct and manage microservices using: - Cloud services like Azure or AWS - Containers with Docker and orchestration with Kubernetes 6 - 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐨𝐝𝐞 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: Develop skills in: - Unit and integration testing with tools like xUnit, TUnit, or NUnit - Debugging and code analysis tools 7 - 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐃𝐞𝐯𝐎𝐩𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: Learn to integrate CI/CD into your workflow, including: - Pipelines with Azure DevOps and GitHub Actions 8 - 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐏𝐚𝐫𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠: Engage with the developer community, stay updated, collaborate on open-source projects, and participate in events. 💪 𝐅𝐢𝐧𝐚𝐥 𝐓𝐢𝐩: The journey may be challenging, but passion for programming and a desire to learn will always make a difference. Which steps have you started or wish to explore? Share your thoughts and experiences in the comments! 👇 #CSharp #Backend #Development #Roadmap #Programming

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💡 8 𝐂𝐨𝐝𝐢𝐧𝐠 𝐓𝐢𝐩𝐬 - 𝐖𝐫𝐢𝐭𝐞 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐜𝐨𝐥𝐥𝐞𝐚𝐠𝐮𝐞𝐬 (𝐚𝐧𝐝 𝐟𝐮𝐭𝐮𝐫𝐞 𝐬𝐞𝐥𝐟): Focus on clean, understandable code with proper structure and documentation. - 𝐒𝐮𝐩𝐞𝐫𝐟𝐢𝐜𝐢𝐚𝐥 𝐜𝐨𝐝𝐞 𝐫𝐞𝐯𝐢𝐞𝐰𝐬 𝐚𝐫𝐞 𝐚𝐬 𝐛𝐚𝐝 𝐚𝐬 𝐧𝐨 𝐫𝐞𝐯𝐢𝐞𝐰𝐬: Take code reviews seriously and be thorough. - 𝐌𝐚𝐤𝐞 𝐫𝐞𝐯𝐢𝐞𝐰𝐬 𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐯𝐞 𝐚𝐧𝐝 𝐟𝐮𝐧: Use clear comments, and add some fun (emojis!) to keep it engaging. - 𝐍𝐞𝐯𝐞𝐫 𝐢𝐠𝐧𝐨𝐫𝐞 𝐞𝐫𝐫𝐨𝐫𝐬 𝐨𝐫 𝐰𝐚𝐫𝐧𝐢𝐧𝐠𝐬: Treat them as serious issues and fix them promptly. - 𝐋𝐞𝐭 𝐭𝐨𝐨𝐥𝐢𝐧𝐠 𝐡𝐚𝐧𝐝𝐥𝐞 𝐜𝐨𝐝𝐢𝐧𝐠 𝐬𝐭𝐲𝐥𝐞 𝐝𝐞𝐛𝐚𝐭𝐞𝐬: Use tools like .editorconfig or ESLint to standardize your code style. - 𝐀𝐩𝐩𝐥𝐲 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐩𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥𝐥𝐲: Foster collaboration with clear guidelines and thorough documentation. - 𝐋𝐞𝐚𝐯𝐞 𝐭𝐡𝐞 𝐜𝐚𝐦𝐩𝐠𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐞𝐚𝐧𝐞𝐫 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐟𝐨𝐮𝐧𝐝 𝐢𝐭: Continuously improve the code, even if it’s not broken. - 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐫𝐞𝐢𝐧𝐟𝐨𝐫𝐜𝐞 𝐞𝐚𝐜𝐡 𝐨𝐭𝐡𝐞𝐫: Embrace practices like TDD, DRY, and clean PRs to improve overall quality. These practices can elevate your coding and team collaboration over time!

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Title: Domain-Driven Design (DDD) for Microservices: A Strategic Guide 🔰 Understanding DDD: Domain-Driven Design (DDD) is a software development approach focusing on understanding and modeling the core domain. It bridges the gap between technical and domain experts, ensuring that both are aligned with the software’s goals. 🔰 DDD in Modern Software Development: With the shift towards microservices, DDD becomes crucial. It ensures services are well-defined, isolated, and capable of independent evolution, thus enhancing agility and scalability. Key Concepts 🗝 : • Entities: Unique objects with a distinct lifecycle. • Value Objects: Immutable objects representing descriptive characteristics. • Aggregates: Clusters of related objects treated as a single unit to maintain consistency. 🔰 DDD Patterns in Microservices: 1️⃣ Bounded Contexts: Define clear subsystem boundaries. 2️⃣ Repositories: Abstract the database layer. 3️⃣ Factories: Create complex objects. 4️⃣ Services: Focus on specific business logic. 🔰 Relationship between DDD and Microservices: DDD’s strategic perspective complements microservices’ need for small, manageable, independent services. By dissecting complex domains into subdomains, businesses can create microservices with clear purposes and responsibilities. 🔰 Ensuring Autonomy and Isolation: Microservices must function autonomously. DDD helps achieve this by minimizing dependencies, allowing services to evolve independently. 🔰 CQRS and Event Sourcing: 🔸 CQRS: Separates command and query operations, optimizing each for its specific purpose. 🔸 Event Sourcing: Stores every state change as an event, ensuring data isn’t lost and system state is traceable. 🔰 Challenges and Solutions: 🔸 Complexity: Breaking down systems into bounded contexts requires clear domain knowledge. 🔸Scalability and Consistency: Event-driven architecture and CQRS can help manage data integrity and optimize scalability. 🔰 Implementing DDD for Microservices: 1️⃣ Understand the Domain: Collaborate with domain experts to identify key concepts. 2️⃣ Define Bounded Contexts: Ensure each microservice has a clear responsibility. 3️⃣ Use DDD Patterns: Apply entities, value objects, aggregates, and repositories. 4️⃣ Adapt Architecture: Embrace iterative development and adapt to evolving business needs. 5️⃣ Foster Collaboration: Promote open communication and feedback loops. 🤘 Conclusion: Integrating DDD with microservices leads to more responsive, adaptable, and maintainable systems. For successful implementation, businesses should invest in understanding DDD concepts, maintain clear communication, and prioritize training. By strategically combining DDD with microservices, companies can design systems that cater to current needs and are prepared for future challenges. ♻ #DDD #DomainDrivenDesign #Microservices #SoftwareDevelopment #Backend

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𝟎𝟕 𝐕𝐒𝐂𝐨𝐝𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧𝐬 𝐘𝐨𝐮 𝐌𝐮𝐬𝐭 𝐆𝐢𝐯𝐞 𝐚 𝐓𝐫𝐲 𝟎𝟏. 𝐂𝐨𝐝𝐞𝐢𝐮𝐦 🚀 Free AI-powered code acceleration toolkit. Enjoy unlimited single and multi-line code completions forever. It includes an IDE-integrated chat, so you don't need to leave VS Code to use ChatGPT-like features such as Refactor and Explain. 𝟎𝟐. 𝐏𝐨𝐬𝐭𝐦𝐚𝐧 🛠️ Streamline API development and testing with the power of Postman directly in your favorite IDE. The Postman VS Code extension allows you to develop and test APIs seamlessly within Visual Studio Code. 𝟎𝟑. 𝐖𝐚𝐤𝐚𝐓𝐢𝐦𝐞 ⏱️ Track your coding activity effortlessly! WakaTime provides insights into the languages you use most, coding trends, and even helps you set coding goals. Perfect for developers who love metrics and time management. 𝟎𝟒. 𝐂𝐨𝐝𝐞 𝐒𝐩𝐞𝐥𝐥 𝐂𝐡𝐞𝐜𝐤𝐞𝐫 ✅ Avoid embarrassing spelling mistakes in your code and documentation. This extension highlights common spelling errors while minimizing false positives, making it ideal for technical writing and clean code. 𝟎𝟓. 𝐁𝐞𝐭𝐭𝐞𝐫 𝐂𝐨𝐦𝐦𝐞𝐧𝐭𝐬 📝 Enhance the readability of your code with visually distinct annotations for alerts, TODOs, and informational notes. Make your comments more human-friendly and easier to navigate. 𝟎𝟔. 𝐋𝐢𝐯𝐞 𝐒𝐡𝐚𝐫𝐞 🤝 Collaborate in real time with your peers! Microsoft’s Live Share extension enables you to edit and debug code together, making remote teamwork seamless. 𝟎𝟕. 𝐂𝐨𝐝𝐞𝐒𝐧𝐚𝐩 📸 Take stunning screenshots of your code with syntax highlighting and save or copy them instantly. Ideal for presentations, documentation, or sharing code snippets professionally. #VSCodeExtensions #CodingTools #DeveloperLife #Programming #APITesting #CodeCollaboration #AIProgramming #VSCODE

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𝟑𝟎 𝐃𝐚𝐲𝐬 𝐨𝐟 𝐀𝐖𝐒 – 𝐃𝐚𝐲 𝟏𝟏: 🚀 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐀𝐦𝐚𝐳𝐨𝐧 𝐒𝐐𝐒: 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐌𝐞𝐬𝐬𝐚𝐠𝐢𝐧𝐠 𝐟𝐨𝐫 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 🚀 𝐀𝐦𝐚𝐳𝐨𝐧 𝐒𝐐𝐒 (𝐒𝐢𝐦𝐩𝐥𝐞 𝐐𝐮𝐞𝐮𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞) is a fully managed message queuing service that enables decoupling of application components, ensuring reliable communication between distributed systems. SQS handles the heavy lifting of message transmission, storage, and retrieval, allowing you to focus on building scalable, resilient applications. 🔑 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: 𝟏. 𝐃𝐞𝐜𝐨𝐮𝐩𝐥𝐞𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞:    SQS enables seamless communication between application components by decoupling them, allowing for independent scaling and maintenance. 𝟐. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐃𝐮𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐑𝐞𝐝𝐮𝐧𝐝𝐚𝐧𝐜𝐲:    SQS stores messages across multiple servers and data centers, ensuring high availability and durability of your message queues. 𝟑. 𝐓𝐰𝐨 𝐐𝐮𝐞𝐮𝐞 𝐓𝐲𝐩𝐞𝐬:    - Standard Queue: Offers unlimited throughput with at-least-once message delivery.   -FIFO Queue: Guarantees exactly-once message delivery and preserves the order of message processing. 𝟒. 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞:    SQS scales automatically to handle any number of messages, from a few to millions per second, ensuring consistent reliability under high loads. 𝟓. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐬 𝐰𝐢𝐭𝐡 𝐀𝐖𝐒 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬:    SQS integrates smoothly with AWS services like Lambda, SNS, S3, and EC2, enabling event-driven architectures and automating workflows. 🌐 𝐂𝐨𝐦𝐦𝐨𝐧 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬: 𝟏. 𝐃𝐞𝐜𝐨𝐮𝐩𝐥𝐢𝐧𝐠 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬:    Use SQS to decouple and connect microservices, ensuring that each service processes messages independently and reliably. 𝟐. 𝐉𝐨𝐛 𝐐𝐮𝐞𝐮𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭:    SQS efficiently manages background tasks by placing jobs in a queue, which can then be processed asynchronously by worker services. 𝟑. 𝐄𝐯𝐞𝐧𝐭-𝐃𝐫𝐢𝐯𝐞𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬:    Combine SQS with Amazon Lambda or SNS to create scalable, event-driven workflows for your applications. 𝟒. 𝐁𝐚𝐭𝐜𝐡 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠:     Handle large volumes of messages with SQS’s batching capabilities, improving throughput and reducing processing costs. 𝑭𝒖𝒓𝒕𝒉𝒆𝒓 𝒑𝒐𝒔𝒕 𝒄𝒐𝒏𝒕𝒊𝒏𝒖𝒆𝒅 𝒊𝒏 𝒕𝒉𝒆 𝒄𝒐𝒎𝒎𝒆𝒏𝒕 𝒔𝒆𝒄𝒕𝒊𝒐𝒏... 𝑪𝒉𝒆𝒄𝒌 𝒊𝒕! Repost if you found it useful. Follow Ujjwal Sontakke Jain for #Data related post. Amazon Amazon Web Services (AWS) Every day, I dive deeper into and share knowledge on: 🚀 Advanced Data Engineering 🚀 Python/SQL Optimization 🚀 AWS Ecosystem & Cloud Solutions 🚀 Databricks & PySpark #AWS #SQS #MessagingService #Microservices #EventDriven #CloudComputing #Serverless #DataEngineering

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**🔍 BDD vs. DDD vs. TDD: A Quick Comparison** In software development, **Behavior-Driven Development (BDD)**, **Domain-Driven Design (DDD)**, and **Test-Driven Development (TDD)** offer distinct approaches to creating robust applications. Here’s a concise overview: ### **🔹 BDD (Behavior-Driven Development)** **Focus:** User behavior and collaboration.   **Key Features:** Natural language for user stories, acceptance criteria.   **Use When:** Requirements are complex or change frequently. ### **🔹 DDD (Domain-Driven Design)** **Focus:** Business domain modeling and strategic design.   **Key Features:** Bounded contexts, shared domain language.   **Use When:** Dealing with complex business logic or large teams. ### **🔹 TDD (Test-Driven Development)** **Focus:** Code reliability and incremental development.   **Key Features:** Write tests before code, refactor.   **Use When:** Ensuring high code quality or refactoring existing code. ### **🔍 Choosing the Right Approach** - **For User Alignment:** BDD - **For Complex Domains:** DDD - **For Code Quality:** TDD Each methodology has unique benefits. Understand their strengths to drive successful software projects. #BDD #DDD #TDD #SoftwareDevelopment #Agile #Coding

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Things you must have in your company to derisk your operation and I can solve for you: 1- A good control version. 2- An onboarding process for new devs. 3- A disaster 4ecovery plan in plan. 4- The understanding of your code.

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🚀 **Unlock the Power of Advanced SQL Query Optimization** Ever feel like your SQL queries are dragging your database performance down? It’s time to level up with Advanced SQL Query Optimization techniques! 💡 Efficient queries don’t just speed up results—they save resources, improve scalability, and make you the go-to problem solver in data-driven teams. Here’s how you can take your SQL skills to the next level: ### 🛠 **Key Optimization Techniques You Should Know:** - **Index Smarter, Not Harder** 📖: Choose the right indexes for frequently queried columns. But beware—over-indexing can slow down inserts and updates! - **Minimize SELECT * Usage**: Only query the columns you need. This reduces overhead and speeds up performance. - **Understand Query Execution Plans**: Dive into those EXPLAIN or EXPLAIN ANALYZE outputs to spot bottlenecks like full table scans or ineffective joins. - **Leverage Partitioning**: Divide large datasets into smaller, more manageable chunks for faster data retrieval. - **Use Joins Wisely**: Inner joins typically outperform subqueries. Test and refine your join strategies for those complex reports. - **Optimize WHERE Clauses**: Avoid functions on columns used in WHERE (e.g., `WHERE YEAR(date_column) = 2023`), as it can disable index usage. Instead, rewrite them for index compatibility. - **Batch Transactions** 🌀: For heavy data updates or inserts, breaking them into smaller transactions can reduce table locks and improve throughput. ### 🎯 **Why This Matters:** In a world driven by data, responsive and efficient systems provide a competitive edge. Mastering these techniques: - ✅ Reduces query execution time. - ✅ Optimizes hardware resource usage. - ✅ Makes you a standout professional in database performance tuning. 💡 **Remember:** Always test query changes in your staging environment before rolling them into production! What’s your next step? Take time to audit and refine your queries using these techniques. Your database—and team—will thank you. #SQLTips #DataPerformance #moa7amed #Efficiency #Kaggle

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𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻: 𝗣𝘂𝘀𝗵-𝗕𝗮𝘀𝗲𝗱 𝘃𝘀 𝗣𝘂𝗹𝗹-𝗕𝗮𝘀𝗲𝗱 𝗤𝘂𝗲𝘂𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 (Part-II) | 𝗛𝗼𝘄 𝗞𝗮𝗳𝗸𝗮'𝘀 𝗣𝘂𝗹𝗹-𝗕𝗮𝘀𝗲𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘄𝗼𝗿𝗸𝘀? 🚀 Here, I discussed on how has Kafka a Pull-Based architecture & how it is different from RabbitMQ. I discussed a scenario on when would Kafka be a better suit than RabbitMQ. Understanding neither Kafka or RabbitMQ is replacing each other, but choosing one analyzing the trade-offs of each based on application requirement & use case is important. #systemdesign #softwareengineering #kafka #rabbitmq #microservices

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Automating React Native App Testing with Appium. As a React Native engineer, I know that delivering high-quality apps means ensuring smooth functionality across devices and platforms. But let’s face it, manually testing everything can be time-consuming and error-prone. That’s where Appium comes in! Appium is an open-source, cross-platform tool that automates testing for mobile apps. It’s particularly powerful for React Native apps because it supports iOS and Android. Here’s how Appium helps streamline your testing workflow: Why Appium? ✅ Cross-Platform Support: Write tests once, and run them on both iOS and Android. ✅ Supports Multiple Frameworks: Works with WebDriver (Selenium) protocols, making it highly adaptable. ✅ Community Backing: Tons of resources and plugins to extend functionality. ✅ Integrates with CI/CD: Automate testing as part of your development pipeline for rapid feedback. Setting Up Appium for React Native 1️⃣ Install Appium: //code npm install -g appium 2️⃣ Choose Your Test Framework: WebDriverIO, Mocha, or Jest are common. 3️⃣ Configure Appium for Your App: Appium works with your app's.apk or.ipa files. Set up desired capabilities, such as: //code const capabilities = {  platformName: 'iOS',  deviceName: 'iPhone 14 Pro',  app: '<path-to-your-app>',  automationName: 'XCUITest', // For iOS }; 4️⃣ Write Your Tests: Use selectors like accessibilityId (React Native’s testID prop) to target UI elements. For example: //code  driver.findElement('accessibility id', 'loginButton').click(); 5️⃣ Run the Tests: Start the Appium server and execute your test suite. Best Practices for Appium Testing 🔹 Use unique test IDs (testID in React Native) for reliable element selection. 🔹 Write modular test cases to isolate failures and maintain clean test code. 🔹 Incorporate Appium tests into CI/CD pipelines using tools like GitHub Actions or CircleCI. 🔹 Leverage Appium Desktop for easier element inspection. My Takeaways Automating tests with Appium has transformed my development workflow. It reduces regression issues, increases confidence in my releases, and frees up time for innovation. If you’re a React Native developer looking to level up your testing game, I highly recommend giving Appium a try. Let's make testing efficient, scalable, and fun! 💬 What’s your go-to tool for testing React Native apps? Share your thoughts below! #ReactNative #Appium #MobileTesting #Automation #SoftwareDevelopment #Tools

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Best Practices for Improving Performance of ASP.NET Core Applications: Use caching: HTTP-based response caching Set by the Cache-Control header Distributed cache Use a distributed cache to store data that needs fast access. Caching with third-party libraries For example, Redis Cache In-memory caching In-memory caching uses the server's memory to store cached data. This type of caching is suitable for one or more servers.  Cache Tag Helper Use cache tag helper in MVC applications, for example: <cache expires-after="@TimeSpan.FromSeconds(120)"> Current Time Inside Cache Tag Helper: @DateTime.Now </cache> Always use asynchronous programming and avoid blocking requests: Recommendations: X  Do not use: Method calls that can block asynchronous calls by exiting Task.Wait orTask.Result. Avoid blocking at all stages of application development. ASP.NET Core is designed to run everything asynchronously. ✔  Use  Make 'hot code path' locations asynchronous. Make requests to the Data access layer and long API operations asynchronously. Make Controller methods asynchronous. The entire call stack is asynchronous, allowing you to take advantage of async/await patterns. Minimize large object allocations: Recommendations: X  Don't create  many large short-lived objects in the 'hot code path. ✔  Use  caching of large objects that are frequently used. Caching of large objects prevents expensive allocations. You can also use one of the classic  Flyweight patterns to work with such objects. ✔  Use ArrayPool<T>  for storing large arrays. Using a class ArrayPool<T> to "rent" and "return" buffers (using the Rent and Return methods) can improve performance in situations where arrays are frequently created and destroyed, resulting in significant memory pressure on the garbage collector. Optimizing Data Access Layer Efficient reading and writing of data is essential for good performance. Recommendations: ✔  Use  asynchronous requests to the Data access layer. ✔  Use  caching of frequently used data retrieved from a database or remote service (if business logic allows it). Depending on the scenario, use MemoryCache or DistributedCache. For more information, see Use Caching . ✔  Minimize  the number of requests to get data (the goal is to get data in one request, without making multiple requests) ✔  Use  LINQ query filtering and aggregation (for example, using .Where, .Select, or .Sum operators) to let the database do the filtering. X  Don't request  more data than necessary. Your requests should return only the data that is needed for the current HTTP request. X  Avoid  more than N + 1 problems

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Card Generator in C ⌨️ This is a C-based card generator that reads names from a text file and generates a card (image) for each name using the Cairo library for rendering. https://lnkd.in/d639PGPP #git #github #c #image_generator #card #card_generator

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🚀 **Want to Take Your JavaScript Skills to the Next Level?** Clean and maintainable code isn’t just a "nice-to-have"—it's a *must* for writing effective JavaScript in today’s fast-paced development landscape. Whether you’re collaborating with a team or revisiting your own code months later, following clean coding principles makes a world of difference. Here’s how you can start writing cleaner, more maintainable JavaScript today: ✅ **Use Meaningful Variable and Function Names** - Avoid generic names like `x` or `data`. Instead, opt for descriptive names like `userEmail` or `fetchUserData()`. Clarity > Brevity. ✅ **Keep Functions Simple** - Stick to the Single Responsibility Principle: each function should do *one thing* and do it well. If a function grows too complex, break it down into smaller, reusable ones. ✅ **Consistent Formatting Is Non-Negotiable** - Adhere to a style guide like Airbnb or Google for consistent naming conventions, indentation, and spacing. Tools like Prettier and ESLint can help you automate this. ✅ **Avoid "Magic Numbers"** - Don’t hardcode values like `3600` directly into your code. Instead, use constants with descriptive names: `const SECONDS_IN_AN_HOUR = 3600;`. ✅ **Comment with Purpose** - Comments should *explain the why*, not the what. If you need to explain *what* your code does in detail, it’s likely time to refactor. ✅ **Think In Terms of Reusability** - Avoid duplication by abstracting recurring logic into helper functions or modules. Reusable code is more efficient and easier to maintain. 💡 **Pro Tip:** Write tests. It’s not just about spotting bugs—it’s also a great way to ensure that your code is doing exactly what it’s supposed to, every time. Clean JavaScript isn't just a mark of professionalism—it's how you future-proof your skillset and contribute to scalable, sustainable projects. #JavaScript #CleanCode #WebDevelopment #CodingTips

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كان فيه بوست كان بيقارن بين 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐯𝐬. 𝐌𝐨𝐧𝐨𝐥𝐢𝐭𝐡𝐢𝐜 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 Modular Monolith واتكتب تعليق ان We can combine best of 2 worlds and create a Modular Monolith: - one deployment unit - each module is separated from the other modules - each module can call other module by a public API call: interface method call, REST call, gRPC call, messaging - database from one module is not available to the other - when needed each module can be extracted into separate service if needed very quickly

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🚀 **Why State Management is the Backbone of React.js Applications** React.js is one of the most powerful tools for building dynamic user interfaces. But here's the real question: how do you manage *data* and *behavior* across components effectively? This is where **state management** steps in to shine. Without proper state management, even the most well-structured React application can turn into chaos—components won't communicate efficiently, bugs creep in, and scalability becomes a headache. Let’s break it down: ### 🧠 **What is State Management in React.js?** In simple terms, state management is how you keep track of your application's data (state) at any given moment and ensure consistency across your components. React provides a basic state mechanism via `useState` and `useReducer`, but for larger applications, advanced tools like **Redux**, **MobX**, or **Context API** become essential. --- ### ✨ **Key Benefits of Effective State Management** ✔️ **Organized Components** State management centralizes data, so you can avoid "prop drilling" (passing props down multiple levels) and streamline component relationships. ✔️ **Improved Scalability** When your app grows, managing states across components ensures everything works seamlessly without introducing technical debt. ✔️ **Reactive User Experience** Your app dynamically updates the UI based on state changes—no need for manual re-rendering. ✔️ **Easier Debugging** Centralized state stores make it simpler to track and debug issues since all changes flow through a predictable structure. --- ### 🔑 **Choosing the Right Solution** Here’s when to use specific tools for state management: - **React Context API**: Great for small-to-medium projects with minimal complexity. - **Redux**: Ideal for large-scale apps with a lot of shared data and complex interactions. - **MobX**: Perfect for simpler and more intuitive reactive state-management patterns. --- State management isn’t just a technical detail—it is the foundation that holds your React.js app together. Whether you're building your first project or leading a team of developers, understanding this concept will set you apart as a true professional in modern web development. 👩‍💻 Ready to take your React.js skills to the next level? Dive deeper into state management concepts or explore frameworks like Redux or MobX to enhance your expertise. #ReactJS #StateManagement #WebDevelopment #Oman #سلطنة_عمان #Kaggle #moa7amed

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