How to Find Performance Bottlenecks in Production (Like a Pro)

👉 Learn how to find real performance bottlenecks in production using OpenTelemetry, flame graphs, metrics, and execution profiling. 👉 If you’re tired of optimizing the wrong code paths, this video shows practical backend performance debugging techniques. Performance optimization is one of the most misunderstood areas in software engineering. Many developers: • Optimize the wrong code • Chase fake bottlenecks • Add unnecessary “micro-optimizations” • Waste days debugging the wrong issue In this video, we break down how experienced engineers identify the REAL production bottlenecks using: • OpenTelemetry tracing • Metrics • Flame graphs • Execution profiling • Performance analysis tools 🔥 What you’ll learn • How to identify real backend bottlenecks • How flame graphs work • How OpenTelemetry tracing helps debugging • How resource starvation impacts systems • JDBC connection pool bottlenecks explained • CPU hotspot analysis • Lock contention debugging • How to avoid useless micro-optimizations 🔔 Subscribe to our channel for more tech tips and tutorials: 👍 Like us on Facebook :   / perfology⁠   👍 Add us on Instagram:   / ⁠   👍 Follow us on Linkedin:   / ⁠   #performanceengineering #opentelemetry #java #backend #perfology Timestamps : ​Introduction to Performance Debugging (0:01) ​Common Java Traaps: Set Removal Performance (2:21) ​Introduction to Profiling and Flame Graphs (8:47) ​Java Flight Recorder (JFR) & Thread Blocking (15:52) ​GDPR Aspect Latency Issues (23:24) ​Transactional Method Misuse (29:18) ​String Concatenation & Lazy Loading Overhead (32:18) ​Async Profiler & Native Code Bottlenecks (36:23) ​Tracing, Metrics, and OpenTelemetry (39:48) ​Conclusion & Best Practices for Debugging (45:45)