Programming Languages For Web Development

Here’s a quick breakdown of Kubernetes deployment strategies you should know — and the trade-offs that come with each. But first — why does this matter? Because deploying isn’t just about pushing new code — it’s about how safely, efficiently, and with what level of risk you roll it out. The right strategy ensures you deliver value without breaking production or disrupting users. Let's dive in: 1. Canary ↳ Gradually route a small percentage of traffic (e.g. 20%) to the new version before a full rollout. ↳ When to use ~ Minimize risk by testing updates in production with real users. Downtime: No Trade-offs: ✅ Safer releases with early detection of issues ❌ Requires additional monitoring, automation, and traffic control ❌ Slower rollout process 2. Blue-Green ↳ Maintain two environments — switch all traffic to the new version after validation. ↳ When to use ~ When you need instant rollback options with zero downtime. Downtime: No Trade-offs: ✅ Instant rollback with traffic switch ✅ Zero downtime ❌ Higher infrastructure cost — duplicate environments ❌ More complex to manage at scale 3. A/B Testing ↳ Split traffic between two versions based on user segments or devices. ↳ When to use ~ For experimenting with features and collecting user feedback. Downtime: Not Applicable Trade-offs: ✅ Direct user insights and data-driven decisions ✅ Controlled experimentation ❌ Complex routing and user segmentation logic ❌ Potential inconsistency in user experience 4. Rolling Update ↳ Gradually replace old pods with new ones, one batch at a time. ↳ When to use ~ To update services continuously without downtime. Downtime: No Trade-offs: ✅ Zero downtime ✅ Simple and native to Kubernetes ❌ Bugs might propagate if monitoring isn’t vigilant ❌ Rollbacks can be slow if an issue emerges late 5. Recreate ↳ Shut down the old version completely before starting the new one. ↳ When to use ~ When your app doesn’t support running multiple versions concurrently. Downtime: Yes Trade-offs: ✅ Simple and clean for small apps ✅ Avoids version conflicts ❌ Service downtime ❌ Risky for production environments needing high availability 6. Shadow ↳ Mirror real user traffic to the new version without exposing it to users. ↳ When to use ~ To test how the new version performs under real workloads. Downtime: No Trade-offs: ✅ Safely validate under real conditions ✅ No impact on end users ❌ Extra resource consumption — running dual workloads ❌ Doesn’t test user interaction or experience directly ❌ Requires sophisticated monitoring Want to dive deeper? I’ll be breaking down each k8s strategy in more detail in the upcoming editions of my newsletter. Subscribe here → tech5ense.com Which strategy do you rely on most often? • • • If you found this useful.. 🔔 Follow me (Vishakha) for more Cloud & DevOps insights ♻️ Share so others can learn as well!

Spring Boot Roadmap for Java Developers Here’s a roadmap that will help you move from beginner to advanced, step by step: Phase 1 - Getting Started (Basics) • Set up your first project using Spring Initializr. • Understand Maven and Gradle (build tools you'll use daily). • Learn key annotations like @GetMapping, @PostMapping, @PutMapping, @DeleteMapping. • Handle Path Variables and Request Parameters easily. • Configure databases (H2, MySQL, PostgreSQL). • Work with JpaRepository and CrudRepository for database operations. • Enable hot reloading with Spring Boot DevTools. • Get introduced to Batch Processing, Scheduling, and Cron Expressions. Phase 2 - Leveling Up (Intermediate) • Handle errors gracefully with @ControllerAdvice and @ExceptionHandler. • Set up global exception handling and custom error responses. • Secure your APIs properly using JWT (JSON Web Tokens). • Explore HATEOAS (Hypermedia-driven REST APIs). • Learn API Versioning (via URI, parameters, headers). • Dive into Unit Testing with JUnit + Mockito. • Write Integration Tests using Spring Boot Test and MockMvc. • Monitor app health using Actuator and create custom Health Indicators. Phase 3 - Mastering the Advanced Concepts • Use @Profile annotation to manage environment-specific beans. • Switch configurations easily across dev, test, and production environments. • Start working with Spring Cloud Projects. • Set up Eureka Server and enable Service Discovery for microservices. • Learn API Gateway patterns and configure Spring Cloud Gateway. • Create a centralized config management system using Spring Cloud Config Server. Phase 4 - Microservices • Understand different ways of Inter-Service Communication. • Use RestTemplate for synchronous API calls. • Simplify service-to-service calls using Feign Client. • Introduce resilience using Resilience4j (Circuit Breakers, Retries). • Get started with Distributed Tracing for debugging across microservices. ➤ Watch Resources : Shrayansh Jain 1. Advantage of Spring boot over traditional Spring MVC: https://lnkd.in/gbHYBdFJ 2. What is Layered Architecture: https://lnkd.in/gdstJnet 3. Maven Lifecycle: https://lnkd.in/gjYygKX7 4. Spring boot REST Api Annotations: https://lnkd.in/gGYpinzs 5. Bean Lifecycle and loC: https://lnkd.in/g6PCbj5U 6. Dependency Injection: https://lnkd.in/gMBUFDxC 7. Bean Scope: https://lnkd.in/gita68gc 8. How Profiling works in Spring boot: https://lnkd.in/gNJ69SuD 9. How you will initialize beans conditionally: https://lnkd.in/gB-_M5sN 10. Dynamic Initialization of Bean: https://lnkd.in/gaerePEh Repositories I Found Super Useful: - https://lnkd.in/dxFBncus - https://lnkd.in/dB2i8Yxc - https://lnkd.in/dnNCXVxy - https://lnkd.in/diqd44Vr - https://lnkd.in/dc2ADrZA Let's build real-world, production-grade systems step-by-step. 𝐅𝐨𝐫 𝐌𝐨𝐫𝐞 𝐃𝐞𝐯 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐉𝐨𝐢𝐧 𝐌𝐲 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 : Telegram - https://lnkd.in/d_PjD86B Whatsapp - https://lnkd.in/dvk8prj5 Happy learning !

Master Java in 2025 – Your Roadmap to Real Backend Engineering Breaking into backend development? Preparing for product-based interviews? Here’s your no-fluff, real-deal checklist to become a standout Java Developer: 1. Spring Ecosystem (Boot, Security, Data, Cloud) * Spring Boot for microservice scaffolding * Secure your APIs with OAuth2 / JWT using Spring Security * Spring Data JPA for persistence * Explore Spring Cloud for service discovery, circuit breakers, and config management 2. RESTful APIs & Web Services * Build and document clean APIs using OpenAPI/Swagger * Master HTTP methods, status codes, and best practices for versioning * Handle JSON/XML, pagination, and authentication 3. Design Patterns & Architecture * Learn Factory, Builder, Singleton, and Observer * Understand architectural styles: Layered, Microservices, Event-Driven * Use Dependency Injection & Inversion of Control to write scalable apps 4. Multithreading & Concurrency * Use Executors, Locks, Callable, Future effectively * Avoid deadlocks, understand race conditions and thread pools * Work with Java’s java.util.concurrent package 5. Core Java Essentials * OOP principles + SOLID, DRY, KISS * Collections, Generics, Lambdas, Streams * Exception handling and functional interfaces 6. Microservices & Distributed Systems * Implement Eureka, Consul for service discovery * Use Kafka or RabbitMQ for async processing * Understand consistency (CAP theorem), event sourcing, CQRS 7. JVM & Memory Management * Understand Garbage Collection (G1, CMS, ZGC) * Use tools like VisualVM or JProfiler to inspect memory leaks * Analyze heap/thread dumps effectively 8. Classloaders & Reflection * Create custom classloaders * Understand reflection and how frameworks like Spring use it * Know the risks and benefits 9. Reactive Programming * Use Project Reactor or RxJava for reactive streams * Learn backpressure and event-driven flows * Combine with Spring WebFlux for async I/O 10. JPA / Hibernate Mastery * Entity lifecycle, lazy vs eager loading * Relationships (OneToMany, ManyToOne, etc.) * Caching, query optimization, criteria queries 11. Java I/O & NIO * Work with Files, Streams, Channels * Non-blocking I/O with Selectors * Serialization/Deserialization techniques 12. Database Skills * SQL query optimization, indexing, joins * ACID, Transactions, and locking strategies * Understand NoSQL tradeoffs with MongoDB, Cassandra 13. Testing & TDD * JUnit5, Mockito for unit testing * Write meaningful integration tests * Explore Cucumber for BDD-style tests 14. CI/CD & DevOps Fundamentals * Automate with Jenkins or GitHub Actions * Containerize with Docker * Deploy using Kubernetes (basic concepts are a must) What To Do Next * Build real projects and document your learnings * Contribute to GitHub, solve DSA alongside backend * Prepare for system design early * Don’t wait to “feel ready” — start applying Follow Abhay Singh for more such reads.

Netflix recently published that: Less JavaScript means more user engagement. Here’s why: Netflix recently shared a fascinating case study about improving their web performance. They found there's no one-size-fits-all solution for web performance optimization. The team focused on optimizing their logged-out homepage, where new users come to sign up. Initially, the page took 7 seconds to load on 3G connections, which was far too long. They made a bold move by removing React from the client side and switching to vanilla JavaScript. This decision reduced their JavaScript bundle size by 200kB. The results were impressive. Loading time and Time-to-Interactive decreased by 50% for desktop users accessing Netflix’s homepage. The simplified version worked just as well with basic HTML and JavaScript. They didn't completely abandon React though. Instead, they came up with a clever solution. While users were on the homepage, Netflix prefetched React and other resources needed for subsequent pages. This prefetching strategy reduced Time-to-Interactive by 30% for users navigating to other pages. It proved to be a low-risk way to improve performance without rewriting code. The team learned that even popular libraries like React aren't always necessary. Sometimes, simpler solutions work better. The homepage still uses React for server-side rendering to maintain consistency. The improvements had real business impact. Users started clicking the sign-up button more frequently, showing how better performance directly affects user engagement. I write one post for software engineers everyday at 10. Follow Pratik Daga so that you don't miss them.

Hey Java Juniors, are you REALLY Backend-ready in 2025? Mastering Java is just a Beginning! Also Focus on these👇 - Document your APIs with Swagger, shows professionalism. - Use JWT + Refresh Tokens, go beyond basic login. - Profile your code with VisualVM – learn memory + CPU insights. - Test with Testcontainers – real DBs > mocks. - Master Maven/Gradle basics – not just clean install. - Build real projects – CRUD is not enough. Add roles, tokens, error handling. - Read production code – reverse-engineer open-source Spring Boot apps. - Learn logs well – SLF4J, log levels, and tracing = backend debugging gold. - Understand layered architecture – Controller, Service, Repo. - Write unit + integration tests – use JUnit + Mockito smartly. Tip: Learn by building projects. Even small ones with REST APIs, JWT auth, and a database will set you apart! 🔥What would you add to this list? Connect Sabari Balaji for Tech Insights 💡 #JavaDeveloper #BackendDevelopment #SpringBoot #Microservices #TechSkills #DeveloperJourney

🚨 Frontend is 80% state management — and we’re still bad at it. You can write the cleanest components, use the most elegant CSS, or deploy with the slickest CI pipeline...but if your state management is messy, your whole frontend collapses. The hardest problems in modern frontend are NOT about rendering JSX. They're about managing data flow — efficiently, predictably, and sustainably. Yet here we are: 😐 Passing props five levels deep. 😶 Wrapping everything in Context.Provider. 🤕 Copy-pasting useEffect hacks to sync state. 😵💫 Jumping between React Query, Zustand, Redux, Recoil, jotai — hoping one of them will magically "just work". 💥 The truth? Most frontend bugs aren't visual. They're "state-related" bugs. And no state library can save you from: - Poor component architecture. - Lack of domain modelling. - Mixing UI state with business logic. - Using global state where local state would do. - Ignoring derived/computed state altogether. 🛠️ Tools help. But design matters more. If you don’t know where your data should live, who owns it, when it should update...no amount of useStore() or dispatch() will save your team from shipping janky experiences. 💡 Want a better frontend? ✅ Start with better state design. ✅ Diagram your data flow. ✅ Keep UI state and server data separate. ✅ Be intentional about sync points. ✅ Normalise your structures. ✅ Memoize sparingly — only where it matters. ✅ DON'T OVER GLOBALISE. Local state is still king in many cases. React isn't hard. Managing state is. And until we fix that, we're just moving bugs around and not solving them. 🤷♂️ #FrontendDev #ReactJS #StateManagement #Zustand #Redux #ReactQuery #Recoil #useState #useReducer #FrontendArchitecture #WebDevelopment #CodeDesign #JavaScript #DeveloperExperience #DevLife #TechTwitter #BuildBetter #ReactTips

Common launch mistake: Rolling out new features to ALL customers. Pushing out a new feature to a sizable customer base comes with risks: - Higher support volume if things go south, affecting many. - Lost opportunity to refine the product with a focus group. - Difficulty in rolling back changes in certain cases. That's why products, especially those with huge customer counts, adopt a gradual rollout strategy to mitigate risk. There are multiple options here like: ✔️ Targeted roll-out Selective release to specific users or accounts. ✔️ Future-cohort facing Only new sign-ups get the feature, existing users keep legacy version ✔️ Canary release Test with a small group first, then expand after confirming it's safe. ✔️ Opt-in beta Users voluntarily choose to try new features before official release. ✔️A/B rollout Two different versions released to different groups to compare performance. ✔️Switcher Everyone gets new version by default but can temporarily switch back to old version. ✔️Geo-fenced Features released to specific geographic regions one at a time. Some factors to consider: ✅ User base capabilties How savvy is your user base? How adaptive would they be the change you're rolling out? If you need to ease them over time, think about a switcher or an opt-in beta. ✅ Complexity How complex is the product update and is it in the way of a critical path? If it's a minor update, a universal deployment will suffice. However, you might opt for an opt-in or canary release for more complex changes. ✅ Risk Assessment What's the risk profile of the update? Ex: If it's performance-intensive and could affect server load, consider using a phased release to observe patterns as you open the update upto more users. ✅ Objective Is this a revamped version of an existing product use case? Do you want to experiment which works better? Strategies like canary releases or A/B testing are valuable in this scenario. ✅ Target users Do you have different user behaviors or preferences across markets or geographies of operation? Do certain cohorts make more sense than others? Think about geo-fenced roll-outs (we used to use this a lot at Bayt when launching job seeker features). --- What rollout strategies do you use for your product?

.𝗡𝗘𝗧 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗠𝗶𝗻𝗶𝗺𝗮𝗹𝗶𝘀𝘁𝗶𝗰 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝟮𝟬𝟮𝟰. I have been coding in C# for more than 15 years now, and I was often asked how to learn C#/.NET development, what learning resources to use, etc. Here's a minimalistic roadmap to learn C# / .NET development that every junior developer needs to know. 📂 𝗡𝗘𝗧 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗥𝗼𝗮𝗱𝗺𝗮𝗽  ∟📂 C#    ∟📄 Learn basics of C# 6 - 11    ∟📄 Learn .NET 7 and .NET 8    ∟📄 Learn dotnet CLI  ∟📂 General Development skills    ∟📄 Learn Git    ∟📄 Learn HTTP/HTTPS    ∟📄 Learn data structures and algorithms    ∟📄 Learn SOLID, YAGNI, DRY, KISS principles    ∟📄 Learn Design Patterns  ∟📂 ASP. NET Core    ∟📄 MVC    ∟📂 APIs      ∟📄 REST      ∟📄 GraphQL      ∟📄 gRPC      ∟📄 Web APIs      ∟📄 Minimal APIs      ∟📄 Middlewares      ∟📄 Filters & Attributes      ∟📄 Authentication & Authorisation  ∟📂 Client-Side .NET    ∟📄 Razor     ∟📄 Blazor    ∟📄 WPF  ∟📂 Databases    ∟📄 Database design & SQL    ∟📄 Stored procedures   ∟📂 DBMS      ∟📂 Relational        ∟📄 SQL Server        ∟📄 Postgres      ∟📂 NoSQL        ∟📄 MongoDB        ∟📄CosmosDB  ∟📂 ORM    ∟📂 Entity Framework Core      ∟📄 Learn basics      ∟📄 Code first & migrations      ∟📄 Change tracker API      ∟📄 Lazy/eager loading  ∟📂 Caching    ∟📄 Memory Cache    ∟📄 Redis  ∟📂 Logging    ∟📄 Serilog    ∟📄 NLog  ∟📂 Real-time communication    ∟📄 SignalR Core    ∟📄 Web Sockets  ∟📂 Background tasks    ∟📄 Background Service  ∟📂 Object Mapping    ∟📄 AutoMapper  ∟📂 Testing    ∟📂 Unit Testing      ∟📂 Frameworks         ∟📄 xUnit         ∟📄 MsTest      ∟📂 Mocking        ∟📄 Moq    ∟📂 Integration Testing      ∟📄 WebApplicationFactory  ∟📂 DevOps    ∟📄 GitHub actions    ∟📄 Azure Pipelines  ∟📂 .NET Libraries    ∟📄 MediatR    ∟📄 Polly     ∟📄 FluentValidation   ⬇️ To save this helpful roadmap with clickable links, click on the file to maximize it and then click the save button in the top right corner. Check the full roadmap with all learning resources in the comments. _______ If you found this helpful, consider resharing ♻️ and follow me, Dr Milan Milanović, for more content like this. #technology #softwareengineering #csharp #dotnet #techworldwithmilan

Only for backend engineers: ☕ Java: - OOPs & SOLID principles. - Collections Framework: Deep dive into HashMap, List vs Set, and their internal workings. - Java 8 Features: Streams, Lambdas, Optional, Functional interfaces. - Multithreading: Lifecycle, synchronized, volatile, and ExecutorService. - Exception Handling: Design custom exceptions, manage try-catch-finally effectively. - Memory Management: Stack vs Heap, Garbage Collection. 🌱 3. Spring Boot - Core Annotations: Master the usage of @RestController, @Service, @Repository, etc. - Spring Internals: Learn about starters, application.properties, and auto-configuration. - JPA & Hibernate: Mapping entities, @Transactional, lazy vs eager fetching. Error Handling: Implement @ControllerAdvice and @ExceptionHandler for centralized error handling. - RESTful APIs: Create REST APIs with CRUD operations, use @Valid, DTOs, and proper HTTP status codes. - Security Basics: Implement JWT authentication and role-based authorization. Testing: Use @WebMvcTest, @DataJpaTest, and Mockito for testing controllers and repositories. 🏗️ 4. Low-Level Design (LLD) - Focus on building scalable, maintainable, and clean software designs: - Class-Based Design: Design scenarios like Parking Lot, BookMyShow, and similar use cases. - Design Patterns: Learn core patterns such as Singleton, Strategy, Factory, Observer. - SOLID Principles & Clean Architecture: Aim for maintainable code with proper separation of concerns. - UML Diagrams: Use UML to showcase your design thinking process. 🏢 5. High-Level Design (HLD) - System Thinking: Focus on scalability, fault tolerance, and handling high availability. - Key Concepts: Load Balancers, Redis, Kafka, SQL vs NoSQL databases. - System Design Scenarios: Work through designs like URL Shortener, WhatsApp, Instagram, Rate Limiter. - API & DB Design: Understand sharding, partitioning, and rate-limiting strategies. - Trade-offs: Be prepared to discuss design trade-offs and justify your decisions. Resources: Spring Boot from Basics to Advanced (All Videos are in English) https://lnkd.in/gz2A5ih2 High Level Design from Basics to Advanced (Some Initial Videos are in Hindi, rest in English) https://lnkd.in/d8eDwYVA Low Level Design from Basics to Advanced (Some Initial Videos are in Hindi, rest in English) https://lnkd.in/dJkgzKxf JAVA from Basics to Advanced (All Videos are in English) https://lnkd.in/dUNA6vsU #softwareengineers

Deployment patterns are systematic approaches for safely introducing new application features to users. The success of minimizing downtime depends on the deployment method employed, while some patterns also facilitate the gradual rollout of additional functionality. These strategies enable thorough testing with a limited user group before making features widely available. 1. Canary Releases:   - Description: Canary releases are a strategy for identifying potential issues before they impact all users. Rather than immediately exposing a new feature to everyone, it's initially made available to a select user group.   - Process: Continuous monitoring occurs after the canary release, and any issues discovered are promptly addressed. Once the release proves stable, it's transitioned to the full production environment.   - Importance: Canary releases are a key element of continuous deployments. 2. Blue/Green Deployments:   - Description: Blue/green deployments involve maintaining two nearly identical environments concurrently, reducing risk and minimizing downtime. These environments are referred to as "blue" and "green," with only one active at any given time.   - Process: A router or load balancer is used to control traffic between the blue and green environments, enabling rapid rollback if issues arise.   - Variation: Red/Black deployments are similar, with the "red" version live in production and the "black" version deployed to servers. Traffic is directed to the black version when it's operational, offering a strict one-version-at-a-time approach. 3. Feature Toggles:   - Description: Feature toggles enable runtime activation or deactivation of specific features. This allows the introduction of new software without exposing users to unfamiliar or modified functionality.   - Use: Feature toggles support continuous deployments by separating software releases from feature deployments. 4. A/B Testing:   - Description: A/B testing involves comparing the performance of two app versions to determine which one is more effective. It's akin to conducting an experiment.   - Process: Users are randomly presented with different page versions, and statistical analysis is employed to assess which variant better accomplishes objectives. 5. Dark Launches:   - Description: In a dark launch, a new feature is introduced exclusively to a select group of users who are aware that they are assisting in testing the functionality.   - Purpose: The term "dark launch" signifies that users are exposed to the feature for feedback and effectiveness testing. These deployment strategies offer structured ways to manage the release of new features and updates, ensuring minimal disruption while maintaining the quality and stability of software applications. Pic by Tech World With Milan #deployments #patterns #systemdesign #interviewtips #acrhictecture