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Ritu Shikha . Dev & Life

@ritus.exe

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The Java InterruptedException Flag Clearing Trap

Calling .interrupt() on a thread executing a blocking operation (Thread.sleep(), wait(), join()) triggers an InterruptedException. Crucially, the JVM clears the interrupted status flag back to false before entering the catch block.

A empty catch block effectively wipes the shutdown signal, causing status-checking loops like while (!isInterrupted()) to execute forever. To preserve the interrupt signal across your application stack, re-interrupt the current thread immediately upon catching the exception.

Java InterruptedException, Thread.interrupt(), thread lifecycle, thread safety, concurrency control, JVM thread state, Java multithreading best practices

#Java #SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips taken in India by @ritus.exe

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a month ago

Java Collections Framework — explained visually

List, Set, Queue, Map… but which one should you actually use?

I created this Java Collections cheat sheet covering:

🔹 List, Set, Queue & Deque
🔹 Map & HashMap Internals
🔹 ConcurrentHashMap
🔹 LinkedHashMap & TreeMap
🔹 WeakHashMap & IdentityHashMap
🔹 PriorityQueue
🔹 Concurrent Collections
🔹 Iterator
🔹 Fail-Fast vs Fail-Safe

📌 Save this for your next Java interview.
💬 Comment “JAVA” if you want more Java cheat sheets.
➕ Follow @ritus.exe for Java, Backend & System Design content.

#Java #JavaDeveloper #JavaProgramming #CollectionsFramework #HashMap BackendDeveloper SoftwareEngineering CodingInterview TechInterview Programming Developer LearnJava 100DaysOfCode taken in India by @ritus.exe

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2 months ago

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2 months ago

Stream<Integer> operates on generic object wrappers (java.lang.Integer). Every intermediate operation (.map(), .filter()) forces the JVM to continuously auto-box primitive int values into heap-allocated Integer objects and unbox them again. IntStream uses raw primitive int values directly on the execution stack, eliminating millions of short-lived object allocations on the heap.

#Java #SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips taken in India by @ritus.exe

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2 months ago

Virtual Threads are scheduled on top of a small pool of OS "Carrier Threads". However, if a Virtual Thread executes a synchronized block or method while performing a blocking I/O operation, it gets pinned to its Carrier Thread. The carrier thread cannot be unmounted to process other virtual threads, completely starving your system.
The Senior Fix: Replace legacy synchronized blocks with java.util.concurrent.locks.ReentrantLock, which allows Virtual Threads to unmount freely during blocking I/O calls.

#Java #SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips taken in India by @ritus.exe

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2 months ago

Client-side load balancing (like Eureka or Spring Cloud LoadBalancer) caches healthy instance IP addresses locally to minimize registry lookups. If your deregistration heartbeat interval or local TTL cache is configured too high, the gateway won't know instances were killed until the cache expires, sending active requests to dead IPs. Always align service discovery heartbeat intervals with your deployment eviction speeds.

#SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips loadbalancer microservices taken in India by @ritus.exe

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2 months ago

Re-evaluating JWT cryptographic signatures and fetching user permissions inside every microservice creates massive, redundant CPU and DB overhead. The API Gateway Pattern dictates that authentication and token validation should happen once at the edge gateway. The gateway then passes a clean, lightweight, pre-validated header context (e.g., X-User-Id) downstream to internal services over a secure private network.

#Java #SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips taken in India by @ritus.exe

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2 months ago

You cannot use traditional ACID database transactions across isolated microservice databases. Instead, implement the SAGA Pattern (Orchestration or Choreography). When Service C fails, it emits an InventoryFailed event, which triggers Compensating Transactions—explicit rollback methods in Service B (refunding payment) and Service A (canceling the order) to restore eventual consistency.

#Java #SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips taken in India by @ritus.exe

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2 months ago

Charged twice for the same order? 💳

Here’s what happened: Kafka guarantees "At-Least-Once" delivery by default. When a network hiccup occurs, Kafka re-delivers the exact same event.
Without Idempotency Key deduplication, your backend executes the payment logic twice!

The Fix:
Pass a unique eventId or idempotencyKey with every message.
Insert the key into a deduplication table with a UNIQUE constraint before running payment logic.
If a duplicate arrives, the DB constraint violation blocks it safely!

Answer in the comments: How do you handle idempotency in your stack? 👇

System Design Interview • Kafka Idempotency • At Least Once Delivery • Backend Engineering • Distributed Systems • Microservices Architecture • Event Driven Systems • Software Architecture • Coding Interview Prep

#SystemDesign #BackendDevelopment #ApacheKafka #SoftwareEngineering #TechInterview CodingLife Microservices DistributedSystems SoftwareArchitecture DeveloperCommunity SystemDesignInterview TechContent taken in India by @ritus.exe

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3 months ago

Don't play guessing games with log files when your app crashes due to an OutOfMemoryError.

The Plan: Enable the JVM flag -XX:+HeapDumpOnOutOfMemoryError in production. This forces the JVM to write the entire contents of its memory to a .hprof file the exact millisecond it panics. Load that file into tools like Eclipse MAT or JProfiler to pinpoint the exact object class that is hogging your heap space.

#Java #SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips taken in India by @ritus.exe

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3 months ago

Java Memory Management Cheat Sheet! 🚀
Understanding how Java manages memory (Stack vs. Heap) is key to writing efficient code and acing technical interviews.
🔖 Bookmark this for quick revision!
🏷️ Tag a fellow developer who needs this today.

#Java #SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips

Java JavaDeveloper CodingCheatSheet SoftwareEngineering ProgrammerLife LearnToCode JavaProgramming WebDevelopment TechInterview CodingCommunity ComputerScience StackVsHeap taken in India by @ritus.exe

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3 months ago

This is a textbook concurrency race condition where threads are overwriting each other’s data state (Lost Update Problem).

The Plan: Implement proper locking mechanisms:
Optimistic Locking: Use a Version field in JPA. If another thread updates the row in the meantime, an OptimisticLockException is thrown, allowing you to retry the request cleanly.
Pessimistic Locking: Use database-level row locks (SELECT FOR UPDATE) via Lock(LockModeType.PESSIMISTIC_WRITE) to force concurrent threads to queue up lineally.

Save this for your next technical interview! 📌

#Java #SpringBoot #BackendEngineering #SoftwareArchitecture #CodingInterview SpringFramework DependencyInjection CleanCode TechTips taken in India by @ritus.exe

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3 months ago