Performance Engineering with Java, Cloud Monitoring & GenAI
(Java Profiling, JVM & GC Analysis, Memory & Thread Diagnostics, APM Tools, Infra & DB Monitoring, JMeter–Jenkins CI/CD, Cloud & Chaos Testing, GenAI for Automation)
The Complete Performance Engineering course is a hands-on, industry-ready program designed to transform you into a full-stack Performance Engineer. You will learn Java profiling, JVM and GC analysis, memory and thread diagnostics, workload modelling, and end-to-end monitoring using leading APM tools. The course also covers infrastructure monitoring on Linux/Windows, database performance tuning, CI/CD with JMeter and Jenkins, and cloud monitoring across AWS and Azure. You’ll explore chaos and resiliency testing, Python/ML-based optimization techniques, and GenAI-powered automation for faster analysis and bottleneck detection. By the end of this program, you will be fully equipped to handle performance challenges across development, testing, and production environments.
About The Instructor:
|
Vicky is a seasoned Performance Engineering expert with 10+ years of industry experience, specializing in building high-performance, scalable, and reliable systems for enterprise applications. With deep expertise in Java profiling, JVM & GC tuning, memory and thread diagnostics, and database performance, he has successfully delivered performance solutions across multiple domains and large-scale platforms. Vicky is highly skilled in modern APM tools such as Dynatrace and AppDynamics, along with strong infrastructure monitoring experience across Linux and Windows environments. His knowledge of cloud performance (AWS & Azure), workload modelling, chaos testing, and CI/CD performance pipelines makes him a true full-stack performance engineer. In addition to his technical strengths, Vicky is passionate about emerging technologies. He integrates Python, ML-based optimization, and GenAI-powered automation to accelerate root-cause analysis, hotspot detection, and performance scripting. As a dedicated mentor, Vicky has trained and guided hundreds of engineers, helping them transition into performance-specialized roles. His teaching methodology blends real-world project scenarios, hands-on labs, and practical problem-solving, making complex performance engineering concepts easy to understand and apply. |
Sample Videos:
Performance Engineering with Java, Cloud Monitoring & GenAI– Demo Recording
Performance Engineering with Java, Cloud Monitoring & GenAI– Day1 Recording
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 199 119 USD Or USD23000 INR 13000 INR 9900 Rupees.
OR
Day 2 Session:
3rd December @ 9:00 PM – 10:00 PM (IST) (Indian Timings)
3rd December @ 10:30 AM – 11:30 AM (EST) (U.S Timings)
3rd December @ 3:30 PM – 4:30 PM (BST) (UK Timings)
Class Schedule:
For Participants in India: Monday to Friday @ 9:00 PM – 10:00 PM (IST)
For Participants in the US: Monday to Friday @ 10:30 AM – 11:30 AM (EST)
For Participants in the UK: Monday to Friday @ 3:30 PM – 4:30 PM (BST)
What student’s have to say about Trainer :
|
👨 Vicky’s training is truly outstanding! His sessions covered everything from Java profiling, JVM & GC tuning, memory diagnostics to cloud performance optimization. What I loved most was how he integrated Python and ML-based techniques for automation and hotspot detection. The hands-on labs, real-world examples, and patient guidance made complex performance engineering concepts very easy to understand. I now feel confident handling enterprise-level performance challenges independently. Highly recommended! – Rahul Mehra 👨 Excellent trainer! Vicky clarified all doubts patiently and made performance concepts easy to grasp. – David Johnson 👩 I really appreciated Vicky’s practical approach. His real-time examples and project scenarios helped me understand performance tuning and APM tools efficiently. – Fatima Ali 👨 Vicky Sir is a phenomenal mentor. The way he explained JVM memory management, thread diagnostics, and database performance was very detailed. He also demonstrated GenAI-powered automation for root-cause analysis, which was a game-changer. His sessions were interactive, structured, and full of real-world exercises. I feel much more confident now to tackle high-performance system issues at work. – Arjun Verma 👩 Very practical and clear training. Vicky makes even advanced topics simple to understand. – Emily Brown 👨 The training was well-paced and very hands-on. Vicky’s mentorship, along with real-world exercises, made learning performance engineering smooth and enjoyable. – Mohammed Yusuf 👩 Highly recommended! Vicky’s guidance and practical examples gave me confidence to work on real performance projects. – Jessica Smith |
What will I Learn by end of this course?:
- Analyze end-to-end application performance and identify bottlenecks across frontend, backend, infrastructure, and database layers.
- Profile Java applications using tools like JProfiler, VisualVM, and YourKit to diagnose memory leaks, thread issues, GC pauses, and slow methods.
- Understand JVM internals, garbage collection algorithms, heap structures, and apply tuning techniques for high-performance applications.
- Perform workload modeling and design performance test strategies aligned with real-world business workloads.
- Monitor servers and infrastructure using Linux commands (vmstat, iostat, top, sar, nmon) and Windows PerfMon dashboards.
- Use APM tools such as Dynatrace, AppDynamics, and Grafana to trace slow transactions, analyze hotspots, and understand production performance.
- Analyze and tune database performance using Oracle AWR, ASH, and ADDM reports for query optimization.
- Build CI/CD ready performance pipelines using JMeter, Jenkins, Git, and automated test execution workflows.
- Evaluate cloud performance on AWS & Azure, including monitoring of compute, storage, and networking components.
- Perform chaos & resiliency testing to validate system stability under failure scenarios.
- Apply Python & Machine Learning techniques for performance prediction, anomaly detection, and report automation.
- Use GenAI-powered tools to automate script creation, debugging, log analysis, and performance insights.
- Become a full-stack performance engineer, capable of analyzing, tuning, and optimizing applications end-to-end.
Salient Features:
- 25+ Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
Who can enroll in this course?
- Performance Testers wanting to upgrade to full-stack Performance Engineering
- Manual Testers who want to move into Performance Testing/Engineering
- Automation Test Engineers looking to expand into JVM, profiling & monitoring
- Developers (Java/.NET/Python) who want to optimize application performance
- DevOps & SRE Engineers interested in observability, APM tools & CI/CD performance
- Cloud Engineers who want to learn cloud performance & resiliency testing
- Database Engineers aiming to understand AWR/ADDM and query optimization
- Freshers/Students planning to start a career in performance engineering
- Career Switchers looking for high-demand, high-paying tech roles
Course syllabus:
Module 1: Foundations of Performance Engineering
- What is Performance Engineering & why it matters
- Performance Engineering vs Performance Testing
- Complete PE Life Cycle
- Engineering activities across SDLC
- Skills to grow from Tester → Engineer
- Industry expectations
- Workload Modelling & Engineering Strategy
- PE in Agile Execution
Module 2: Developer Mindset & Java Fundamentals
- Why Java for PE
- JDK/JRE/JVM overview
- Java environment setup
- JVM internals & architecture
- Hands-on coding basics
Module 3: Early PE – Code Profiling
- Response time analysis
- JProfiler & YourKit
- Method-level bottleneck detection
Module 4: Client-Side Performance
- Importance of frontend performance
- Chrome DevTools, GTMetrix, WebPageTest
- Rendering & optimization
Module 5: Memory Profiling & Leak Analysis
- Memory patterns
- Memory leak vs OOM
- Heap tools: JProfiler, VisualVM
Module 6: Java Memory Management – Part 1
- Stack, Heap, Metaspace
- Memory tuning (Xms/Xmx)
- Heap dump analysis
Module 7: Java Memory Management – Part 2 (GC)
- GC types: Serial, Parallel, CMS, G1
- GC tuning
- GC logs
Module 8: Threading & Lock Analysis
- Thread lifecycle
- Thread dumps
- Deadlocks & contention
Module 9: Infrastructure Monitoring
- Windows: PerfMon
- Linux: vmstat, iostat, nmon
Module 10: Load Test Monitoring Strategy
- Pre/during/post monitoring
- Telegraf, Grafana
- AppDynamics, Dynatrace
Module 11: Database Performance
- Oracle architecture
- AWR, ADDM Reports
Module 12: Production Monitoring
- Synthetic vs RUM
- Dynatrace Synthetic
Module 13: Continuous Performance (DevOps)
- CI/CD + JMeter + Jenkins
- Shift-left/right
Module 14: Cloud & Resiliency Engineering
- AWS & Azure monitoring
- Chaos testing tools
Module 15: Python & ML Performance
- Python profilers
- ML pipeline optimization
Module 16: .NET Performance
- DotTrace, DotMemory
- Azure Insights
Module 17: GenAI & Performance Engineering
- Script automation
- Result analysis
- Hotspot detection
How can I enroll for this course?
OR
For any other details, Call me or Whatsapp me on +91-9052903733
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 199 119 USD Or USD23000 INR 13000 INR 9900 Rupees.