Why choose old tools over data-oriented reactive programming?

💡 𝗝𝗮𝘃𝗮/𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝗧𝗶𝗽 🔥 💎 𝐉𝐚𝐯𝐚 𝟐𝟏 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐓𝐡𝐫𝐞𝐚𝐝𝐬 Managing thousands of concurrent operations? Platform threads choking your system? Here's the solution: 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐓𝐡𝐫𝐞𝐚𝐝𝐬! ✔This revolutionary feature from Project Loom provides super lightweight threads managed directly by the JVM. While classic threads consume MBs of memory, virtual threads stay at just KB level. 💡 𝐖𝐡𝐲 𝐚𝐫𝐞 𝐭𝐡𝐞𝐲 𝐠𝐚𝐦𝐞-𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠? • Perfect for I/O-intensive operations. • Enable simple thread-per-request model at scale. • No need for complex reactive programming. • Backward compatible with existing code. ✨The magic happens when your application handles thousands of concurrent requests. ⚡Traditional threads would exhaust system resources, but virtual threads handle this elegantly. 🔥 They automatically yield when blocked, allowing other virtual threads to execute on the same platform thread. ✅ So, A REST API that previously handled 1000 concurrent connections can now handle 100,000+ with the same hardware, just by switching to virtual threads. 👍 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞𝐦 𝐢𝐬 𝐬𝐢𝐦𝐩𝐥𝐞: Use Thread.ofVirtual() or Executors.newVirtualThreadPerTaskExecutor(). Your blocking code becomes scalable without rewriting! #java #springboot #programming #softwareengineering #softwaredevelopment

🚀 Day 412 of #500DaysOfCode 🧩 Problem: 3542. Minimum Operations to Convert All Elements to Zero Platform: LeetCode (Medium) 📘 Problem Statement: Given an array of non-negative integers, you can perform operations where you select a subarray and set all occurrences of the minimum number in that subarray to 0. Your goal is to find the minimum number of operations required to convert all elements in the array to 0. 💡 Example: Input: nums = [3,1,2,1] Output: 3 Explanation: 1️⃣ Select [1,3] → set 1s to 0 → [3,0,2,0] 2️⃣ Select [2,2] → set 2 to 0 → [3,0,0,0] 3️⃣ Select [0,0] → set 3 to 0 → [0,0,0,0] ⚙️ Intuition: Each continuous non-zero segment in the array represents one operation. Zeros act as boundaries that divide these segments. Hence, the minimum number of operations equals the count of continuous non-zero segments. 🧠 Approach: Iterate through the array. Count the number of times a new non-zero segment starts → (when nums[i] != 0 and (i == 0 || nums[i-1] == 0)). 🕒 Complexity: Time: O(n) Space: O(1) 🔥 Learned how identifying segment patterns in arrays can lead to simple and efficient solutions! #Day412 #LeetCode #Java #CodingChallenge #ProblemSolving #DSA #Programming #100DaysOfCode #500DaysOfCode #CodeNewbie #Developers

💡 𝐉𝐚𝐯𝐚 𝟐𝟏 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐓𝐢𝐩 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐓𝐡𝐫𝐞𝐚𝐝𝐬 🔥 Managing thousands of concurrent operations? Platform threads choking your system? Here's the solution: Virtual Threads! 💎This revolutionary feature from Project Loom provides super lightweight threads managed directly by the JVM. While classic threads consume MBs of memory, virtual threads stay at just KB level. ✅ 𝐖𝐡𝐲 𝐚𝐫𝐞 𝐭𝐡𝐞𝐲 𝐠𝐚𝐦𝐞-𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠? • Perfect for I/O-intensive operations. • Enable simple thread-per-request model at scale. • No need for complex reactive programming. • Backward compatible with existing code. ✨The magic happens when your application handles thousands of concurrent requests. ⚡Traditional threads would exhaust system resources, but virtual threads handle this elegantly. 🔥 They automatically yield when blocked, allowing other virtual threads to execute on the same platform thread. So, A REST API that previously handled 1000 concurrent connections can now handle 100,000+ with the same hardware, just by switching to virtual threads. 👍 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞𝐦 𝐢𝐬 𝐬𝐢𝐦𝐩𝐥𝐞: Use Thread.ofVirtual() or Executors.newVirtualThreadPerTaskExecutor(). Your blocking code becomes scalable without rewriting! #java #springboot #programming #softwareengineering #softwaredevelopment

⚙️ BeanFactory vs ApplicationContext Both BeanFactory and ApplicationContext are Spring containers, but they differ in functionality: 🔹 BeanFactory – The basic container that lazily initializes beans, mainly used for lightweight applications. 🔹 ApplicationContext – A more advanced container that eagerly loads beans and provides additional features like event handling, internationalization, and annotation-based configuration. #SpringFramework #Java #SpringBoot #BeanFactory #ApplicationContext #BackendDevelopment #SoftwareEngineering #Programming #TechLearning #CodeBetter

✅Day 58 of #100DaysOfLeetCode 1.📌Problem: 2011. Final Value of Variable After Performing Operations 2.✅ Difficulty: Easy 3.📍Topic: Array 4.🎯 Goal: Given an array of strings operations containing a list of operations, return the final value of x after performing all the operations. 5.🧠key idea: Approach 1: Initialize a counter variable to zero. Iterate through the input array of operations. For each operation string, check if it represents an increment ("++X" or "X++"). If it does, increase the counter by one. Otherwise, it's a decrement, so decrease the counter by one. After checking all the operations, return the final value of the counter. #100DaysOfLeetCode #CodingChallenge #Java #ProblemSolving #SoftwareDevelopment #Developer #Programming #CodeNewbie #Tech #DataStructures #Algorithms #Array #LeetCodeChallenge #SoftwareEngineer #DailyChallenge

Ever get confused by Stack and Heap? That's because you haven't truly met the two vital memory regions your code uses: The Stack and The Heap! They're like two very different roommates for your data. #java #developers #springboot #Programming #DataTypes #SoftwareEngineering #MemoryManagement #javadevelopers

Enforced Type Safety with Server-Defined Types 🔄⚙️ Join Steve Kinney to master end-to-end type safety with TypeScript. Share types between client and server, use Zod schemas to avoid API surprises, build with tRPC, and simplify database migrations with Prisma. https://lnkd.in/gHzB-BiA #Fullstack #Backend #WebDev #Programming #Coding #LearnToCode #TypeScript

In the AOP workflow, the process involves two key phases: **Development:** - Identify cross-cutting concerns. - Create aspects. - Define pointcuts to specify where logic should be applied. - Implement advice, which constitutes the logic itself. **Runtime:** During runtime, the AOP framework performs the following steps: - Detect aspects. - Create target objects and AOP proxies. - When a client invokes a method, the proxy intercepts the call. - If a pointcut matches, the advice (Before, AfterReturning, AfterThrowing, After) executes around the target method. - The Around advice has the ability to control the execution of the target method. - Finally, the results are returned to the client through the proxy. #SpringBoot #Java #Coding #Developers #SoftwareEngineering #TechLearning

🪞 Ever wondered how Java can “look at itself”? That’s where Java Reflection comes in — a powerful feature that lets you inspect and even modify classes, methods, and fields at runtime. Whether you’re building frameworks, debugging tools, or dependency injectors like Spring — reflection helps your code understand its own structure. 💡 It’s introspection in action — your program reflecting on itself! #Java #SpringBoot #Reflection #BackendDevelopment #Coding #TechLearning #Developers #ProgrammingConcepts

Day after day, I've been thinking about how to handle high traffic and millions of data loads for inter-service (microservice) communication with maximum performance. The goal: 5x faster than JSON. Finally, I've created a high-performance library for Go and Java, which I've tested and is ready to use. Check it out on GitHub: https://lnkd.in/dtNb_vdS #Golang #Java #Microservices #HighPerformance #BinarySerialization #DeveloperTools #OpenSource #TechInnovation #GoLangCommunity #SoftwareEngineering #Coding #Programming #CloudNative #DistributedSystems #BackendDevelopment