Marcus Rodrigues

📘 𝗕𝗼𝗼𝗸 𝗥𝗲𝘃𝗶𝗲𝘄: 𝗡𝗼𝗱𝗲.𝗷𝘀 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 by Mario Casciaro & Luciano Mammino If you're working with Node.js and want to move beyond writing basic scripts to architecting robust, scalable applications, 𝗡𝗼𝗱𝗲.𝗷𝘀 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 is a must-read. This book brilliantly bridges the gap between theory and practical implementation. It covers modern JavaScript patterns, asynchronous programming, modularity, dependency injection, and architecture patterns like MVC, event-driven, and microservices, while aligning with the latest Node.js versions and ecosystem trends. Casciaro and Mammino don't just teach how to write code, but also why specific patterns make your applications more maintainable, scalable, and testable. The real-world examples and clean explanations make even advanced concepts accessible. 𝗠𝘆 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀:  • Clean code isn't a luxury—it's essential for scalable systems.  • Understanding the event loop and asynchronous patterns is foundational.  • Design patterns aren’t just for OOP languages—they're highly relevant in JavaScript. It is highly recommended for developers who want to level up their Node.js skills and confidently write production-grade code. 𝗣𝗮𝗰𝗸𝘁 𝗪𝗲𝗯𝘀𝗶𝘁𝗲: https://lnkd.in/gDmj37C7? 𝗔𝗺𝗮𝘇𝗼𝗻: https://packt.link/tQFHR #NodeJS #JavaScript #DesignPatterns #BookReview

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MicroServices Roadmap 1. Core Foundation Microservices: The individual services themselves. This is the architectural pattern at the heart of it all. Container: The standard packaging unit for a microservice. A container (e.g., a Docker container) packages the service's code, runtime, libraries, and settings into one isolated, portable, and consistent unit. This ensures it runs the same way everywhere. 2. Container Runtimes & Orchestration This is the "operating system" for your microservices cluster. Docker / Podman: Container runtimes. They are tools used to build, run, and manage individual containers on a single machine. Podman is a daemonless alternative to Docker. Container Orchestration: This is the brain that manages hundreds or thousands of containers across a cluster of machines. It handles deployment, scaling, networking, and healing. Kubernetes: The industry-standard and most popular container orchestration platform. Docker Swarm: Docker's built-in, simpler orchestration tool. OpenShift: A Kubernetes-based container platform by Red Hat with additional enterprise-grade features. 3. Service Registration & Discovery In a dynamic environment where service instances can be created and destroyed automatically, services need to find each other. Consul: A tool for service discovery, configuration, and segmentation (by HashiCorp). Eureka: A service discovery tool originally developed by Netflix. Zookeeper: A centralized service for maintaining configuration information and providing distributed synchronization. Often used by other tools (like Kafka). 4. API Management & Gateways Since clients can't talk directly to dozens of microservices, a single entry point is needed. API Gateway: A reverse proxy that acts as the front door for all client requests. It handles request routing, composition, authentication, rate limiting, and other cross-cutting concerns. Kong: A popular, high-performance open-source API Gateway. Ocelot: A lightweight .NET API Gateway. Mulesoft: A comprehensive integration platform for APIs, including API management. API Management: Broader platforms (like Mulesoft, Kong Enterprise) that provide developer portals, analytics, and monetization features on top of gateway functionality. 5. Communication & Messaging How microservices talk to each other. Message Broker: Services often communicate asynchronously using messages to avoid being tightly coupled. A broker receives messages from producers and routes them to the correct consumers. Kafka: A high-throughput distributed event streaming platform. Excellent for processing real-time data feeds. RabbitMQ: A widely-used open-source message broker that implements the AMQP protocol. Want to know more? Follow me or connect🥂 Please don't forget to like❤️ and comment💭 and repost♻️ x.com/sina_riyahi medium.com/@Sina-Riyahi Instagram.com/Cna_Riyahi github.com/sinariyahi

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🔑 Difference Between SSO Token and JWT Token in .NET Core 1️⃣ SSO Token (Single Sign-On Token) Purpose: Used for authentication across multiple applications with a single login. Where used: Enterprise setups (e.g., Azure AD, Okta, ADFS). Format: Often SAML (XML-based) or OAuth2/OpenID Connect tokens (can also be JWT). Lifetime: Usually short-lived, managed by the Identity Provider (IdP). Usage in .NET Core: Integrated via OpenID Connect / OAuth middleware. 👉 Example: You log into Microsoft Teams → the same token lets you access Outlook, SharePoint, etc., without logging in again. 2️⃣ JWT Token (JSON Web Token) Purpose: A compact, stateless token used to securely transmit user claims. Where used: APIs and microservices for authorization. Format: JSON-based → Header.Payload.Signature. Lifetime: Usually configurable (short/long) depending on API needs. Usage in .NET Core: Typically in Bearer authentication for Web APIs. 👉 Example: You log into an app → API issues a JWT token → every request includes this token in Authorization: Bearer <token>. ✅ Key Difference: SSO Token = Enables one login across multiple apps. JWT Token = Used per API call to authenticate and authorize. 🔔 Join me to improve your skills to clean code. 👩‍💻 Please share and repost and help others to code better and clean code. Follow me : Ayyappa Reddy #efcore #entityframework #csharp #csharpdotnet #csharpdeveloper #csharpprogramming #linq #dotnet #dotnetdeveloper #dotnetcore #dotnetfullstackdeveloper #aspnetcore #aspnet #aspdotnet #aspnetmvc #mvcframework #DotNetCore #ASPNetCore #CSharp #WebDevelopment

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📚Spring Boot 3 API MASTERY A good software engineer or architect knows several technologies and patterns, and then figures out which one to use based on the various use cases. No one technology or pattern should be taken as dogma. In my book (link in the comments) you will see some fundamentals of #REST and some of its alternatives, #gRPC and #GraphQL. You will see technologies compared such as event-loop vs thread-per-request approach, virtual threads. Spoiler: no outright winner, but I help you understand in which cases one technology or the other may be a winning choice. PS: the excitement of receiving the hard copy was even greater 😂 #springboot BPB

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📄 Master Pagination & Sorting in Spring Data JPA — The Right Way! Just found a super helpful PDF that explains Pagination and Sorting in detail — with real examples and all the methods exposed by the PagingAndSortingRepository 📘 If you’ve ever wondered 👇 ⚙️ How to efficiently handle large datasets 🚀 How to use Pageable, Slice, and Sort like a pro 📊 Or how Spring Boot handles pagination behind the scenes …then this PDF is exactly what you need 🔥 Understanding pagination isn’t just about breaking data into pages — it’s about writing APIs that scale gracefully and perform efficiently 💪 I’m going through this PDF myself and will share the most useful takeaways soon 👀 Follow me to stay updated and level up your Spring Boot skills! #SpringBoot #JavaDevelopers #SpringDataJPA #Pagination #Sorting #Microservices #BackendDevelopment #conceptsofcs #LearningNeverStops

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If you're just getting started with system design, learn these concepts: ♻ Repost to help others learn system design. 1 Core Architecture • Monolith ↳ An all-in-one application structure that is run as a single service. • Modular Monolith ↳ An app structured as independent, loosely coupled modules that can be deployed together. • Microservices ↳ Loosely coupled, independently deployable services. • Serverless ↳ Run code without provisioning servers. • Event-Driven Architecture ↳ Services emit and react to events. —— 2 Design Patterns • Idempotency ↳ Safe retries of the same operation without side effects. • Circuit Breaker Pattern ↳ Prevents cascading failures in microservice calls. • API Gateway ↳ API entry point that does request routing. • Service Registry ↳ Dynamically tracks instances in a microservices architecture. • Service Mesh ↳ An infrastructure layer to manage service interaction in a microservices architecture. • Message Queue ↳ A method to achieve asynchronous communication between services. • Orchestration ↳ A central coordinator controls the interaction between services. • Choreography ↳ Decentralized interaction between services via events. —— 3 Scalability & Reliability • Replication ↳ Maintaining many copies of data for availability. • Failover ↳ Switching to a backup server on failure. • Autoscaling ↳ Automatically adjust resources based on demand. • Rate Limiting ↳ Restricting the number of requests against an API in a specific timeframe. • Sharding ↳ Split the database into smaller pieces for parallelism and scale. • Load Balancer ↳ Distributes traffic uniformly among the servers. • Load Shedding ↳ Drop low-priority traffic to maintain system health. • Containerization ↳ Encapsulating the app and its dependencies for portability across different environments • Kubernetes ↳ Automates the deployment and scaling of containers. —— 👋 PS - Want a System Design Playbook for free? Join the newsletter with 167K+ software engineers: → https://lnkd.in/e9adXr-U ——— ♻ Repost to help others learn system design. 👤 Follow Neo Kim for more.

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The JPA Entity Manager (a.k.a Persistence Context or First-Level Cache) is a state machine. By changing the entity state, a given DML statement could be triggered: - New -> Managed triggers and INSERT - Managed -> Deleted triggered a DELETE The UPDATE is more interesting as there is no entity state change that triggers it. For the UPDATE, the EntityManager keeps a copy of the loaded state and compares it with each entity property value during flush. If you are interested in learning more about this topic, check out the link in the comment below 👇

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🚀 Clean Architecture in Spring Boot: Why Project Structure Matters A well-organized codebase is the foundation of maintainable software! Here’s a clean Spring Boot project structure that promotes separation of concerns and scalability: 📁 Package Organization: • Controller - REST API endpoints and request handling • Service - Business logic and core functionality • Repository - Data access layer with Spring Data JPA • Model - Entity and DTO classes for data representation • Config - Custom configurations (security, CORS, etc.) • Exception - Centralized error handling and custom exceptions • Security- JWT/OAuth2 authentication setup • Utils- Reusable helper classes and validators This layered approach ensures: ✅ Clear separation of responsibilities ✅ Easier testing and debugging ✅ Better code reusability ✅ Simplified team collaboration ✅ Enhanced maintainability Remember: Good architecture today saves countless hours tomorrow! What’s your preferred Spring Boot project structure? Share your thoughts below! 👇 hashtag #SpringBoot hashtag #Java hashtag #SoftwareArchitecture hashtag #CleanCode hashtag #BackendDevelopment hashtag #REST hashtag #API hashtag #Programming

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🚀 Spring Boot + Vault Integration Testing with Testcontainers 🔒 https://lnkd.in/gfFgzSPq Level up your Spring Boot testing game! Learn how to integrate HashiCorp Vault with Spring Boot using Testcontainers for seamless integration testing. This guide walks you through setting up Vault, configuring Spring Boot, and testing everything in one go. 🔧 Key Steps: Add dependencies Configure Spring Boot with Vault Spin up Vault with Testcontainers Test integration effortlessly Check out the full guide for a step-by-step walkthrough. 👉 https://lnkd.in/gfFgzSPq #SpringBoot #Vault #Testcontainers #Java #IntegrationTesting #DevOps #CloudSecurity #SoftwareTesting #HashiCorp #JavaDevelopment #TechTutorials

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🚀 Essential Microservices Design Patterns You Shouldn’t Miss Building scalable, resilient systems? These patterns are your blueprint for success. Let’s dive in 👇 🔹 1️⃣ Decomposition Patterns 🔧 By Business Capability Break down services by domain (think: Orders, Payments, Inventory) for clear ownership. 🗺️ By Subdomain (DDD) Apply Domain-Driven Design to isolate bounded contexts and keep things tidy. 🔹 2️⃣ Integration Patterns 🌐 API Gateway One smart entry point for routing, authentication, and throttling. 📬 Asynchronous Messaging Leverage Kafka, RabbitMQ, or others for loose coupling & reliability. 🔹 3️⃣ Database Patterns 🛢️ Database per Service Every service gets its own DB—true autonomy and isolation. 🔄 Saga Pattern Handle distributed transactions smoothly with local steps & event choreography. 🔹 4️⃣ Reliability Patterns 🚫 Circuit Breaker Cut off failing calls early to stop system-wide meltdowns. 🛑 Bulkhead Partition resources to contain failures and stay afloat. ⏲️ Timeouts & Retries Avoid infinite waits—set sane retry & timeout policies. 🔹 5️⃣ Observability Patterns 📝 Centralized Logging Track it all with ELK, Graylog & similar tools. 🛰️ Distributed Tracing Trace requests end-to-end with OpenTelemetry, Jaeger, or Zipkin. 💓 Health Checks Keep a pulse on your services for faster recovery. 🔹 6️⃣ Security Patterns 🔐 JWT Tokens Enable stateless, secure authentication across services. 🛡️ API Gateway Auth Centralized security and SSL handling at the gateway. 🛠️ Tech Stack Essentials: Docker / Kubernetes for container orchestration Spring Boot / Express.js for microservice scaffolding Istio / Linkerd for service mesh magic Prometheus + Grafana for top-notch monitoring 💥 Mastering microservices isn’t just theory—it’s execution. Follow Sasikumar S for daily tips on architecture, React, and scaling your apps. #Microservices #Architecture #DevOps #DesignPatterns #CloudNative #Kubernetes #ScalableApps #SystemDesign #MicroservicesPattern #TechLeadership #Java #SpringBoot #QaisarAbbas #Linkedin

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🚀 Top Node.js Interview Questions – Are You Ready? 💻 Whether you're preparing for your next big opportunity or just brushing up your backend skills, here are some commonly asked Node.js interview questions that every developer should know: ✅ What is the difference between setImmediate() and process.nextTick()? ✅ Explain the Event Loop in Node.js. ✅ How does Node.js handle asynchronous operations? ✅ What are streams in Node.js and types of streams? ✅ How do you handle exceptions in asynchronous code? ✅ What is clustering in Node.js and how does it help? ✅ Explain middleware in Express.js. ✅ How to secure a Node.js application? ✅ Difference between require() and import. ✅ What is the purpose of package.json? ✨ These questions not only test your technical knowledge but also your understanding of how Node.js works under the hood. 🔁 Feel free to share your answers or add more questions in the comments! Let’s learn and grow together! 🌱 #Nodejs #BackendDevelopment #InterviewQuestions #WebDevelopment #MERNstack #TechInterview #JavaScript #ExpressJS

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🚀 Mastering Pagination & Sorting in Spring Data JPA Working with large datasets? Let's talk about two essential features that every Spring Boot developer should know: Pagination and Sorting. 💡 Why do we need them? Fetching thousands of records at once kills performance Users don't need to see everything at once Better memory management and faster response times 🔧 Implementation is surprisingly simple: 1. Update your Repository: public interface UserRepository extends JpaRepository<User, Long> { // Spring Data JPA handles everything! } 2. In your Service/Controller: @GetMapping("/users") public Page<User> getUsers( @RequestParam(defaultValue = "0") int page, @RequestParam(defaultValue = "10") int size, @RequestParam(defaultValue = "id") String sortBy) { Pageable pageable = PageRequest.of(page, size, Sort.by(sortBy)); return userRepository.findAll(pageable); } 3. The Response gives you: content: Your data totalElements: Total records totalPages: Total pages size: Records per page number: Current page ✨ Pro Tips: Use Sort.Direction.DESC for descending order Combine multiple sort fields: Sort.by("name").and(Sort.by("createdDate")) Add custom query methods: findByNameContaining(String name, Pageable pageable) Sample Response Structure: json { "content": [...], "totalElements": 250, "totalPages": 25, "size": 10, "number": 0 } This small change can dramatically improve your API performance and user experience! 📈 Have you implemented pagination in your projects? What challenges did you face? hashtag #SpringBoot hashtag #SpringDataJPA hashtag #Java hashtag #BackendDevelopment hashtag #SoftwareEngineering hashtag #API hashtag #Pagination hashtag #Performance more about pagination and sorting in the pdf below.

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🚀 🚀 Spring Boot Annotations 🚀 - You Must Know to Level Up Your SpringBoot Skills 👇 Mastering these Spring Boot annotations will make your development process smoother, faster, and more efficient. 📌 @SpringBootApplication: Combines @Configuration, @EnableAutoConfiguration, and @ComponentScan to configure and initialize the Spring application context automatically. 📌 @EnableAutoConfiguration: Automatically configures the Spring app based on the classpath, available beans, and other configurations. 📌 @SpringBootConfiguration: Declares that a class contains Spring Boot-specific configuration. 📌 @ComponentScan: Directs Spring to scan specific packages for components, configurations, and services. 📌 @RestController & @Controller: Used to handle web requests by mapping them to their corresponding handler methods. 📌 @ResponseBody: Directs that the return type should be written straight to the HTTP response body, typically in REST APIs. 📌 @PathVariable & @RequestParam: Maps method parameters to URL variables and request parameters, respectively, allowing dynamic handling of requests. 📌 @Component, @Service, @Repository: Mark classes as Spring-managed components for dependency injection. 📌 @Autowired: Automatically injects dependencies into constructors, fields, setters, or methods. 📌 @Qualifier: Resolves conflicts when multiple beans of the same type are present by specifying which one to inject. 📌 @Primary: Marks a bean as the primary candidate for autowiring when multiple options are available. 📌 @Bean: Defines a method that returns a Spring-managed bean. 📌 @ConfigurationProperties: Binds external configurations (like properties files) to a configuration object. 📌 @Conditional: Conditionally includes or excludes configuration parts based on specific conditions. 📌 @Scheduled: Triggers a method to run at predefined intervals for scheduled tasks. 📌 @Value: Injects values from external sources into configuration parameters. 📌 @PropertySource: Adds properties from external sources to Spring's environment. 📌 @Profile: Activates components only when specific application profiles (like "dev" or "prod") are active. 📌 Testing Annotations: @SpringBootTest: Used for running Spring Boot integration tests. @DataJpaTest: Tests JPA repositories. @WebMvcTest: Focuses on testing the web layer. 🔍 Are you in trouble, please 💬💬  ♻️ Repost if you find it intriguing. #Java #iostream #filehandling #collection #genrics #SystemDesign #SoftwareEngineering #DesignPatterns #spring #springboot #hibernate #artitecture #microservices #restfullapi #aws #redis #apachekafka #docker #kubernate #jenkin #rabbitMQ #postman #swagger #logging #log4j #lombok #slf4j #junit #testNG #mockito #selenium #cucumber #git #gitlab #database #sql #mysql #oracle #postgre #nosql #mongodb #BackendDevelopment #JavaDeveloper #javainternship #job #hydrabad #pune #kolkata #banglore #chennai #itdomain #hankerrank #gfg #leetcode #javadsa #nareshit #dilipit #ashokit

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