Spring Component Annotation: Dependency Injection and Lifecycle Management

Just wrapped up a take home assessment where I built an LRU (Least Recently Used) Cache from scratch in Java, and I decided to take it a step further. Instead of stopping at the basic implementation, I: • Designed it using a combination of HashMap and Doubly LinkedList to achieve O(1) time complexity for both get and put operations • Applied generics to make the cache reusable and type-safe • Extended it into a Spring Boot REST API to simulate real world backend usage • Recorded a walkthrough loom video explaining my design decisions and trade-offs. This exercise was a good reminder that writing code is only one part of the job, being able to clearly explain "WHY" you made certain decisions is just as important. Key takeaway: Clean design + clear communication > just “working code”. Looking forward to more opportunities to build and share. #Java #BackendDevelopment #SystemDesign #SpringBoot #SoftwareEngineering #LRUCache

Spring Boot Circular Dependency — Dangerous issue ⚠️ Example: Service A → depends on Service B Service B → depends on Service A 👉 Boom 💥 Circular dependency error 💡 Why it happens: Poor design & tight coupling Solutions 👇 ✅ Refactor logic ✅ Use constructor injection properly ✅ Introduce third service ✅ Use @Lazy (temporary fix) ⚠️ Avoid: Field injection (hard to debug) 👉 Best practice: Use constructor injection ALWAYS Clean architecture prevents these issues 🔥 #SpringBoot #Java #CleanCode

🧠 After learning the Spring Bean Lifecycle, I explored another powerful concept today 👀 Singleton vs Prototype Bean Scope in Spring Boot 🚀 The default scope in Spring is singleton 👇 ✅ Only one object instance is created ✅ Shared across the whole application ✅ Best for services, repositories, controllers Then comes prototype 👇 🔁 A new object is created every time it is requested This makes it useful for: ✅ temporary objects ✅ stateful helpers ✅ per-request custom processing 💡 My takeaway: Bean scope directly changes how Spring manages memory and object reuse. Small annotations can completely change runtime behavior ⚡ #Java #SpringBoot #BeanScope #BackendDevelopment #LearningInPublic

Last weekend I’ve been studying more about error handling and I watched a great video from Dan Vega — an interesting view on how to implement error handling and retries. 🚀 I pushed a small demo repo that captures those ideas using Spring Boot’s new RestClient and a clean error-handling pattern: 🔁 Retry transient failures with @Retryable (exponential backoff). 🧭 Centralize response-to-exception mapping via RestClient’s defaultStatusHandler (ApiException, NotFoundException). 🛡️ Serve consistent ProblemDetail (RFC 7807) responses from a GlobalExceptionHandler for clearer API errors. 🧪 Uses https://httpbin.org/ to simulate status codes and unstable endpoints for deterministic testing. Why this is valuable: - Increases reliability by handling transient errors consistently. - Keeps controllers and business logic clean — the client layer interprets remote errors. - Improves client experience with predictable, machine-readable error payloads. Inspired by Dan Vega’s walkthroughs — credit to him for the patterns and clarity. 🙏 Feel curious how that I did it, check the repo to see the config, examples, and how to adapt this pattern: https://lnkd.in/dEe3HNKr #SpringBoot #Java #Resilience #ErrorHandling #RestClient #Microservices

🔗 Understanding @Autowired in Spring Boot While building my Spring Boot project, I explored how different components are connected without manually creating objects. 🔹 What is @Autowired? It is used for Dependency Injection, which allows Spring to automatically provide the required objects instead of creating them manually using "new". 💡 Why is it useful? It helps in writing cleaner and loosely coupled code, making applications easier to manage and scale. For example, instead of creating a service object inside a controller, Spring injects it automatically using @Autowired. Understanding this concept gave me a better idea of how Spring manages objects internally 💻 #SpringBoot #Java #DependencyInjection #BackendDevelopment #TechLearning

Fixing a Real Spring Boot Error (and what it taught me) While building a simple REST API, I encountered this error:  ClassCastException: Product cannot be cast to Prodcut 🔍 What went wrong? I unknowingly created two different classes: Product ✅ (correct model) Prodcut ❌ (typo) Then I tried to cast one into another — which caused the application to crash. Why this error happens In Java, even a small typo creates a completely new class.So: Product ≠ Prodcut Java treats them as entirely different types, and casting between them is not allowed. #Java #SpringBoot #Debugging #BackendDevelopment #CodingJourney #SoftwareEngineering

🧠 After learning Dependency Injection, I had one big question 👀 Who actually creates these objects in Spring Boot, and when? Today I explored the Spring Bean Lifecycle 🚀 Simple flow 👇 1️⃣ Spring container starts 2️⃣ Bean object is created 3️⃣ Dependencies are injected 4️⃣ Bean becomes ready to use 5️⃣ Bean is destroyed when the app shuts down What made this even more interesting 👇 ✅ @PostConstruct → runs after bean creation ✅ @PreDestroy → runs before bean cleanup 💡 My takeaway: Spring doesn’t just inject dependencies — it also manages the entire lifecycle of the object. The more I learn this framework, the more beautifully engineered it feels ⚡ #Java #SpringBoot #BeanLifecycle #BackendDevelopment #LearningInPublic

🔄 Spring Bean Lifecycle – From Creation to Destruction While working with Spring, one concept that really helped me understand how things run internally is the Bean Lifecycle. A Spring Bean goes through multiple stages from the moment it is created till it gets destroyed. Knowing this flow makes debugging and customization much easier. 👉 1. Instantiation Spring container creates the bean instance using constructor or factory method. 👉 2. Dependency Injection All required dependencies are injected (via constructor/setters/fields). 👉 3. Initialization Spring calls lifecycle callbacks like: @PostConstruct InitializingBean.afterPropertiesSet() custom init-method 👉 4. Bean Ready for Use Now the bean is fully initialized and ready to serve the application. 👉 5. Destruction Before removing the bean, Spring calls: @PreDestroy DisposableBean.destroy() custom destroy-method 💡 Why it matters? Understanding lifecycle hooks allows better control over resource management, logging, and custom initialization logic. 📌 For me, learning this made Spring feel less like “magic” and more predictable. #Java #SpringBoot #BackendDevelopment #SoftwareEngineering #LearningJourney

Day 31/50 🚀 — Reverse Vowels of a String (LeetCode 345) Today’s problem was a great reminder that sometimes the simplest approaches are the most efficient. 🔹 Used the two-pointer technique 🔹 Focused on in-place swapping 🔹 Optimized for both time (O(n)) and space (O(1)) Key takeaway: Instead of overthinking, break the problem into smaller checks—identify vowels, move pointers smartly, and swap only when needed. Clean and efficient 💡 Happy to see this solution performing well: ⚡ Runtime: 2 ms (faster than 99%+) 📦 Space: Decent optimization #Day31 #LeetCode #DSA #Java #CodingJourney #50DaysOfCode #ProblemSolving #SoftwareEngineering

⚙️ One Spring Boot Practice That Changed My Code Quality I stopped using field injection. ❌ @Autowired on fields ✅ Constructor Injection Why? ✔ Better testability ✔ Immutable dependencies ✔ Cleaner design Small change… big impact. If you’re still using field injection — try this once. What’s your preferred approach? 🤔 #SpringBoot #Java #BestPractices