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Starts 8 June 2025 16:33
Ends 8 June 2025
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34 minutes
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Overview
Explore how AI is revolutionizing JVM performance tuning, enhancing efficiency and optimization for Java applications in this cutting-edge presentation.
Syllabus
- Introduction to JVM Performance Tuning
- The Role of AI in JVM Performance Tuning
- Tools and Technologies
- AI Techniques for Performance Optimization
- Case Studies and Applications
- Future Trends in AI and JVM
- Best Practices
- Conclusion and Q&A
Overview of JVM architecture
Traditional performance tuning methods
Limitations of manual tuning
Introduction to AI and machine learning
How AI optimizes JVM parameters
Case studies of AI-driven tuning
AI frameworks for JVM tuning
Integration of AI tools with JVM
Open-source and commercial tools
Machine learning models used in tuning
Neural networks and predictive algorithms
Reinforcement learning for runtime adjustments
Real-world applications of AI-driven JVM tuning
Success stories and performance gains
Challenges and lessons learned
Emerging technologies and advancements
Predictive analytics for proactive tuning
The future of autonomous JVM performance optimization
Guidelines for implementing AI tuning solutions
Measuring performance improvements
Ensuring reliability and stability during tuning
Recap of key insights
Open floor for participant questions
Resources for further learning
Subjects
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