A small habit that saved me countless debugging hours: Always add meaningful logs. Not just: “Error occurred” But: “Payment service failed while calling order service – orderId:123” Future you (or another developer) will thank you. #Java #CleanCode #SoftwareDevelopment
Add Meaningful Logs to Save Debugging Hours
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Day 95/200 – LeetCode Challenge. Problem: Remove Duplicates from Sorted List II (Java) Today’s focus was eliminating all duplicate values from a sorted linked list while keeping only distinct nodes. Implemented an efficient two-pointer approach with a dummy node to handle edge cases cleanly. Linked lists require careful pointer management. Dummy nodes simplify boundary conditions. One-pass solution ensures optimal performance. Continuing the 200-day journey, one problem at a time. #LeetCode #Java #CodingChallenge #200DaysOfCode #ProblemSolving
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⚠️ The Hardest Bugs Aren’t in the Code One thing backend systems taught me: Most critical issues aren’t due to wrong logic — they’re due to unexpected system interactions. Examples: • A slow query impacting multiple services • A retry mechanism causing duplicate processing • A small config change increasing latency The challenge is rarely “what the code does” It’s “how the system behaves as a whole” Understanding interactions > writing isolated logic. #backendengineering #systemdesign #java
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Synchronous: Request waits. Thread blocks. Asynchronous: Request moves on. Work continues in background. Blocking: • Simple • Predictable Non-blocking: • Efficient • Scalable But here’s the catch: Async adds complexity: • Debugging • Error handling • Thread management Don’t use async everywhere. Use it where it matters. #Java #Concurrency #SpringBoot
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Day 74 – Delete Node in a Linked List Solved a unique linked list problem where only the node to be deleted is given, without access to the head. Key Learnings: Learned a technique to delete a node without accessing the previous node Used value replacement and pointer adjustment instead of traditional deletion Strengthened understanding of in-place linked list manipulation #DSA #Java #LinkedList #ProblemSolving #CodingPractice #DataStructures
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Day 19 of #Leetcode150DaysChallenge Today’s problem: 237. Delete Node in a Linked List Instead of deleting the node directly, we copy the value of the next node into the current node and then skip the next node. This way, the current node effectively becomes the next node, and the original next node gets removed. #LeetCode #DataStructures #Java #ProblemSolving
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#Day85 of #100DaysOfCode Focused on practicing array-based problems with an emphasis on logic and efficiency. Worked on: * Moving zeros to the end of an array * Checking if an array is a palindrome * Calculating the sum of even elements #Java #Arrays #100DaysOfCode
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Tried working with virtual threads recently and the difference is actually interesting. With normal threads: Each request takes up a thread More users means more threads and higher memory usage Scaling can become expensive over time With virtual threads: Much lighter compared to traditional threads Can handle a large number of requests without heavy system load Makes concurrency much simpler for I/O heavy tasks It doesn’t replace normal threads completely, but for backend services dealing with high I/O, it feels really useful. Still exploring it and learning more. #java #multithreading #backend
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#Day17⏳ CountDownLatch vs CyclicBarrier — thread coordination made easy How do multiple threads wait for each other? 🤔 👉 CountDownLatch → wait until tasks complete 👉 CyclicBarrier → all threads wait at a common point Example 👇 CountDownLatch latch = new CountDownLatch(3); latch.await(); // wait until count = 0 💡 Key difference: Latch → one-time use Barrier → reusable 👉 Essential tools for building scalable concurrent systems #Java #Multithreading #Concurrency #CountDownLatch #CyclicBarrier #JavaDeveloper #InterviewPreparation #LearningInPublic
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Mastering Virtual Threads in Java 21 – The Game-Changer for Ultra-High-Throughput Backend Services 🔥 As a Java Developer who has scaled systems to handle 500K+ concurrent requests, I can confidently say: Virtual Threads (Project Loom) is the biggest revolution in Java concurrency since the introduction of the Fork/Join framework. Gone are the days of thread-pool hell, context-switching overhead, and “one thread per request” limitations. Pro tip from production trenches: Combine Virtual Threads with Structured Concurrency (Java 22 preview) and you get automatic cancellation + clean error handling – the holy grail of backend engineering. Who else is already running Virtual Threads in production? Drop your experience or biggest challenge in the comments 👇 I reply to every single one. #Java #Java21 #VirtualThreads #SpringBoot #Microservices #BackendDevelopment #HighScaleSystems #JavaPerformance #JavaDeveloper #BackendEngineer
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