🔥 Java 21 Virtual Threads: How to create 1 MILLION threads without breaking your JVM!

🔥 Java 21 Virtual Threads: How to create 1 MILLION threads without breaking your JVM!

📌 The drama every Java developer has lived: You're building an API that needs to process thousands of simultaneous requests. Each request calls databases, external APIs, queues... You create threads, but quickly hit the memory limit. Reduce the number of threads, and performance plummets. It was an impossible choice - until now!

💡 The revolution has arrived with Java 21. See the brutal difference in practice:

🎯 Extended analogy - Physical Theater vs. Netflix:

Platform Threads = Traditional physical theater:

  • Each viewer needs a physical seat (expensive and fixed)

  • Maximum 2,000 people (physical space limitation)

  • High maintenance cost (cleaning, security, etc.)

  • If not used, the seat remains empty but still takes up space

Virtual Threads = Netflix/Streaming:

  • Millions of people "watch" simultaneously

  • Only consume bandwidth when actually watching

  • When they pause, they instantly free up resources

  • Cost per user is minimal and scales horizontally

Mind-blowing data:

  • 1 million Virtual Threads = ~1GB RAM

  • 1 million Platform Threads = ~2TB RAM (impossible!)

  • Creation: Virtual Thread = ~1μs vs Platform Thread = ~1000μs

  • Context switching: Virtual Threads = JVM managed (ultra-fast)

  • Blocking I/O: Virtual Threads don't block carrier threads

📊 Real test I did yesterday:


🔍 The technical secret behind the magic:

Virtual Threads use the concept of "continuation" - when a Virtual Thread does I/O and "blocks", it doesn't block the OS thread. Instead, it saves its state (like a save game), releases the carrier thread, and when I/O completes, restores the state on any available carrier thread.

It's like having a team of chefs (carrier threads) who can instantly switch recipes when one recipe needs to "rest" in the oven!


🚀 CHALLENGE FOR YOU:

  1. What was the biggest thread bottleneck you've ever faced?

  2. On a scale of 1-10, how excited are you to test Virtual Threads?

  3. What type of application would you migrate first?

💬 Share your Java concurrency experiences in the comments!

🔗 Want the complete code from this example? Comment here and I'll share it on GitHub!


#Java21 #VirtualThreads #ProjectLoom #SoftwareDevelopment #Performance #Concurrency #SpringBoot #Microservices

João Júlio de Almeida

AI Engineer | Data Scientist | Data Engineer | Machine Learning Engineer | LLM, Python, SQL

2mo

Excellent article. Congrats!

Md Samir

I Help Brands & Founders Market With Clarity Show Off Without Saying (look at me) | Open For Collaborations

2mo

JVM has never been this efficient with concurrency

Ravi kumar Sahu

Al Enthusiast 🤖 | Sharing Latest Al Tools 🧑💻 | Web Developer | Helping Client's to Grow their Business 💫 | LinkedIn & Twitter Account handler ♻️ | DM for Promotion 💌

2mo

The power of simplicity with the performance of scale

Ajay Sharma

Influencer Marketing Intern at LinkedIn C++ , HTML , CSS , JAVA

2mo

Microservices just got a major upgrade with Java 21

Himanshu Choure

Tech Content Creator | Frontend Developer | 🚀 LinkedIn Influencer | 💼 Helping Brands to Grow 1M post impressions | Open for Collaboration 🤝 | Passionate About Technology And AI | Finance

2mo

Java finally has an answer to async/await without the pain

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