Bruno Santos Silva

📘 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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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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🔑 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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5 Books Every Dev Should Read (And What You’ll Learn): - Clean Architecture – How to organize clean, scalable code. - Building Microservices – How to build small, independent services. - Unit Testing – How to write better tests. - Domain-Driven Design – How to design software that fits real-world problems. - Head First Design Patterns – How to use design patterns in an easy way. #sde #softwaredev #clearcode

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Master these 25+ Software Architecture Styles to Scale as a Developer From microservices to layered monoliths, every architecture solves a specific class of problems. Knowing when and how to use them separates junior developers from seasoned engineers. 1. Layered, component-based styles: Promote modularity, separation of concerns, and clean organization. Includes N-Tier, Onion, and hexagonal architectures. 2. Distributed systems & scalability: Built for high throughput, low latency, and resilience. Styles like Microservices, Event-Driven, and Brokered help scale reliably. 3. Frontend-focused patterns: Improve modularity and testability across UI layers. Think MVC, MVVM, PAC, and more. 4. Coordination patterns: Control how services interact. Includes Saga, Orchestration, and Choreography styles. 5. Data-centric patterns: Optimize for how data flows, transforms, and syncs in real time. Examples: Data Mesh, Dataflow, Shared Memory. 6. Business & domain alignment: Styles like Domain-Driven Design and Enterprise Architecture help structure systems around business needs and teams. Use this wheel as a reference map when choosing the right architecture based on scale, agility, modularity, or data needs. 🔁 Save this post. Share it with a tech friend. 👉 DM me for any mentorship program to successfully land your dream tech role. Everyone Who Codes (EWC) has a simple mission: helping engineers get hired! 💼 Follow Lakshmi Marikumar for tech career & job search insights. Subscribe to our free newsletter on Substack: https://lnkd.in/gN83YA4H #systemdesign #softwareengineering #techjobs #interviews #backend #softwareengineer #softwaredeveloper #MAANG #2ndtier #hiring #jobsearch

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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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🌐 Spring Boot Microservices — Design Principles to Live By 🚀 When building microservices, architecture is as important as code. Here are some core principles every engineer should keep in mind: ✅ Single Responsibility Principle ✅ Loose Coupling ✅ High Cohesion ✅ API First Design ✅ Decentralized Data Management ✅ Database per Service ✅ Event-Driven Architecture ✅ Resilience and Fault Tolerance ✅ Scalability and Elasticity ✅ Security First ✅ Observability (Logging, Metrics, Tracing) ✅ Configuration Management ✅ Versioning and Backward Compatibility ✅ Idempotency ✅ Circuit Breaker Pattern ✅ Service Discovery ✅ Load Balancing ✅ Distributed Transactions (Saga/Choreography) ✅ API Gateway Pattern ✅ Continuous Delivery & DevOps Alignment 🔹 These principles are not just theory — they’re the foundation for scalable, reliable, and secure systems. 👉 Which principle do you consider the hardest to implement in real-world projects? #Microservices #SoftwareArchitecture #SystemDesign #Scalability #Java #SpringBoot #CloudComputing #APIs #DevOps #SoftwareEngineering #QaisarAbbas #Linkedin #SpringBoot #Microservices #Architecture #BestPractices #CloudNative

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𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽: 𝗞𝗲𝘆 𝗦𝘁𝗲𝗽𝘀 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Microservices enable scalability, flexibility, and resilience, but without a structured approach, complexity increases. Here’s a roadmap to do it right: 1️⃣ Fundamentals • DDD (Domain-Driven Design) – Define bounded contexts to align services with business logic. • Monolith vs. Microservices – Split only when needed to avoid unnecessary complexity. • API Design – Choose between REST, GraphQL, gRPC based on use cases. • Data Management – Use CQRS, Event Sourcing for data consistency across services. 2️⃣ Choosing the Right Tech Stack • Backend – .NET, Java, Node.js, Go • Communication – REST, gRPC, Kafka, RabbitMQ • Data Storage – PostgreSQL, MongoDB, Redis • API Gateway – Ocelot, Kong, Traefik • Service Discovery – Eureka, Consul, Kubernetes 3️⃣ Microservice Design • Define Clear Service Boundaries – Follow Single Responsibility Principle (SRP) to reduce dependencies. • Service Discovery & Load Balancing – Use Kubernetes, Istio for scaling and traffic distribution. • Resilience & Fault Tolerance – Implement circuit breakers (Polly, Resilience4J) to prevent cascading failures. • Event-Driven Communication – Use Kafka, RabbitMQ for asynchronous messaging. Observability & Monitoring – Track service health using Prometheus, OpenTelemetry, Grafana. 4️⃣ Messaging Enhancements • Event-Driven Architecture – Implement Kafka, RabbitMQ, NATS, Azure Service Bus for async communication. • Message Brokers – Decouple services with Pub/Sub patterns to improve scalability. • Reliable Delivery – Prevent message loss with Dead Letter Queues (DLQ) and Retry Mechanisms. • Event Sourcing & CQRS – Log all changes as events for better data integrity. • Scaling Strategies – Use partitioning, consumer groups, and load balancing for efficient processing. 5️⃣ CI/CD & DevOps Best Practices • Containerization – Deploy services consistently with Docker, Kubernetes. • CI/CD Pipelines – Automate testing & deployment using GitHub Actions, Azure DevOps. • Monitoring & Logging – Implement Prometheus, Grafana for real-time visibility. • Tracing & Debugging – Use OpenTelemetry, Jaeger for distributed tracing. 6️⃣ Security & Scaling Considerations • Authentication & Authorization – Secure APIs with OAuth2, JWT, Keycloak. • API Security – Protect services with Rate Limiting, Web Application Firewalls (WAF), and DDoS protection. • Performance Optimization – Improve speed with caching (Redis, Memcached) and enable auto-scaling for traffic spikes. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Microservices bring flexibility but require clear service boundaries, automation, and observability to succeed. A structured approach ensures scalability, maintainability, and security. Subscribe here for more content: https://lnkd.in/enmU9vKf #Microservices #SoftwareArchitecture #DevOps #MessagingSystems #CloudNative #Kafka #Scalability

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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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🧩 Microservices Architecture – The Backbone of Modern Systems ✅ What is Microservices Architecture? An architectural style where an application is split into small, independent services that: ✔ Run in isolation ✔ Communicate via lightweight protocols (REST/HTTP, gRPC, or Messaging Queues) ✔ Can be developed, deployed, and scaled independently ✅ Key Characteristics ✔ Decentralization – Each service owns its data & logic ✔ Independence – Services can use different languages, databases, or frameworks ✔ Resilience – Failure in one service doesn’t crash the whole system ✔ Scalability – Scale only the services that need more power ✔ Automation – Heavy use of CI/CD, monitoring, and cloud-native tools ✅ Benefits ✔ Faster development & deployment 🚀 ✔ Better fault isolation ⚡ ✔ Easy scaling (per service, not entire app) ✔ Technology flexibility 🛠️ ✔ Improved maintainability & agility ✅ Challenges ⚠️ Increased complexity in communication & orchestration ⚠️ Requires DevOps culture & automation ⚠️ Distributed debugging & logging are harder ⚠️ Data consistency across services is tricky ✅ Core Building Blocks in Microservices API Gateway → Single entry point, routing, security Service Registry & Discovery → Services find each other dynamically Load Balancing → Distribute traffic evenly Database per Service → Avoid shared monolithic DB Event-driven Communication → Kafka, RabbitMQ for async processing Observability → Centralized logging, monitoring (ELK, Prometheus, Grafana) Security → OAuth2, JWT, mTLS 🧠 Analogy: “Think of Microservices as a restaurant kitchen 🍴. Instead of one giant chef (monolith) doing everything, you have specialized chefs – one for starters, one for main course, one for desserts. Each works independently but together they deliver a full meal.” #Microservices #BackendDevelopment #SystemDesign #CloudArchitecture #SpringBoot #DevOps #JavaDeveloper #DotNet #SoftwareArchitecture #Scalability

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How to Pass Your Software Developer Interview? 5 Tips to increase your chances + Bonus ⬇️ 1️⃣ Master the Fundamentals – Be confident in algorithms, data structures, and design patterns. 2️⃣ Showcase Real Projects – Build side projects, contribute to open source, and highlight your GitHub. 3️⃣ Understand System Design – Know how to architect scalable and maintainable systems. 4️⃣ Communicate Clearly – Interviewers value problem-solving skills and how well you explain your thought process. 5️⃣ Optimize Your LinkedIn – A strong profile attracts recruiters before you even apply! Bonus: I'm giving you this Prep Kit to increase your chances ⬇️ I often get a question for help when looking for a job and passing a job interview. From my last Design Patterns that Deliver ebook, I've extracted a free ebook that I'm giving you: 𝐃𝐞𝐬𝐢𝐠𝐧 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐓𝐨𝐩 𝟏𝟎𝟎 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐀𝐧𝐬𝐰𝐞𝐫𝐬. I've enriched this with a GitHub repository of 𝟓𝟎+ .𝐍𝐄𝐓 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐀𝐧𝐬𝐰𝐞𝐫𝐬 with code over 550+ stars. 𝐘𝐨𝐮 𝐠𝐞𝐭 𝐭𝐡𝐢𝐬 𝐚𝐛𝐬𝐨𝐥𝐮𝐭𝐞𝐥𝐲 𝐟𝐫𝐞𝐞. You'll get the "How to optimize LinkedIn profile" ebook soon! Download now: https://lnkd.in/gKEMDMGv

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DTO vs Entity in .NET — Why It Matters One of the most common architectural questions in .NET projects: 👉 Should I expose my Entity directly, or should I use a DTO (Data Transfer Object)? Here’s the key takeaway: 🔹 Entity → Represents the database model. Perfect for persistence, but not safe to expose outside. 🔹 DTO (Data Transfer Object) → A lightweight object designed for API requests/responses. Improves security, performance, and decoupling. ✅ Why use DTOs? 🔒 Hide sensitive fields (e.g., PasswordHash) 🎯 Transfer only the necessary data 🔄 Use different DTOs for different endpoints 🛡️ Avoid breaking changes if your DB schema evolves 🧩 Add validation rules easily ⚡ Rule of Thumb: Entities stay inside the data layer. DTOs travel across API and client layers. 👉 Do you always use DTOs in your .NET projects, or do you sometimes expose Entities directly? Follow Sai Reddy for more such tech insights! Reach out to me to attend mock interviews that will help you prepare and crack your next interview with confidence.  https://lnkd.in/gsrnePyD or https://lnkd.in/gmQQGgns  or https://lnkd.in/g3xnx-vh or https://lnkd.in/gswwEDZh or https://lnkd.in/gy6SDTDS or https://lnkd.in/gUjdagq7 or https://lnkd.in/gagfpvDj OR https://lnkd.in/gjm7naaH https://lnkd.in/gbR-MrVy #dotnet #csharp #softwarearchitecture #entityframework #dto #cleanarchitecture #apis #backenddevelopment #programming

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