(JMeter, LoadRunner, JVM Tuning, Dynatrace, AppDynamics, Oracle AWR, Prometheus, Grafana, Kubernetes, AWS, Jenkins CI/CD)
A comprehensive 25-hour journey from performance fundamentals to enterprise-grade engineering — JVM tuning, APM tools, cloud testing, AI analysis, and real-world RCA.
NFR gathering, test planning, workload modelling, scripting, execution, result analysis, tuning, and deliverables — the complete PE lifecycle.
Script generation, protocol selection (HTTP, SOAP, REST, AJAX, RDP), distributed testing, and CI/CD integration via Jenkins.
Diagnose Heap Dumps, Thread Dumps, GC logs, memory leaks, thread locks — and tune JVM using JVisualVM & Yourkit.
Analyse AWR reports, tune SQL queries, optimise DB parameters, and handle ETL batch job performance bottlenecks.
Hands-on with Dynatrace, AppDynamics, Prometheus, Grafana, Kibana/ELK, HP Diagnostics, Nmon, sar, iostat, and Chrome DevTools.
Performance test microservices on AWS EC2, Oracle Cloud, and Kubernetes with distributed tracing and HPA validation.
Apply AI for anomaly detection, predictive performance modelling, and automated root cause identification in production systems.
Execute a full end-to-end project — plan, script, run, monitor, analyse, and present findings to stakeholders with a polished report.
Whether you're a QA tester, developer, or DevOps engineer — this bootcamp builds a complete, production-grade Performance Engineering skillset.
Learn from actual production incidents — JVM memory leaks, DB bottlenecks, load balancer failures, and Knight Capital's $440M performance bug.
JMeter, LoadRunner, Dynatrace, AppDynamics, Prometheus, Grafana, Kibana, JVisualVM, Yourkit & Jenkins — all used live in class.
Validate HPA, auto-scaling, and container performance on AWS EC2, Oracle Cloud, and Kubernetes with distributed tracing.
Apply AI for anomaly detection, predictive modelling, and intelligent root cause analysis — a skill most performance engineers don't have.
Automate performance tests in Jenkins pipelines — shift-left performance engineering and catch regressions before production.
Execute a complete real-world performance project from NFR to stakeholder presentation — with RCA, tuning recommendations, and a polished report.
Experience the teaching style, content quality, and live coding before you commit — attend the free demo on 1st July.
A progressive curriculum from performance fundamentals to enterprise-grade engineering and AI analysis.
| No. | Session | What You'll Learn |
|---|---|---|
| 01 | What Is Performance Engineering? | Functional vs performance mindset, 7 test types, Shift-Left strategy. Real case: Knight Capital $440M loss. |
| 02 | NFRs & Test Strategy | Turn vague requirements into 5 measurable SLA parameters. Write NFR documents live with AI as drafting partner. |
| 03 | Test Planning, Environments & Data | Design a test plan and data strategy that produces trustworthy results. Workload modelling fundamentals. |
| No. | Session | What You'll Learn |
|---|---|---|
| 04 | JMeter & LoadRunner: First Script | Record and run your first load test in JMeter live. LoadRunner VuGen, Controller, Analysis architecture. HTTP, SOAP, REST, AJAX, RDP protocols. |
| 05 | HAR File Analysis | Capture and read HAR files to find bugs JMeter misses. Chrome DevTools for client-side performance diagnostics. |
| 06 | Performance Mental Model | Build a Performance Layers Map: Browser → Network → App → JVM → Database → Cloud. Linux utilities: Nmon, sar, iostat, Htop, top. |
| No. | Session | What You'll Learn |
|---|---|---|
| 07 | Prometheus: Metrics & PromQL | Setup Prometheus and exporters. Write live P95 response time queries in PromQL. Alerting rules and thresholds. |
| 08 | Grafana: Live Dashboards | Build KPI dashboard from scratch — CPU, memory, P95, error rate. Add NFR threshold lines. Watch your own alert fire live. |
| 09 | Kibana & ELK: Log Analysis | Run a load test with a hidden seeded error — find it in Kibana before looking at test results. Log correlation techniques. |
| 10 | APM Tools: Dynatrace & AppDynamics | Hands-on with Dynatrace and AppDynamics. Automatic instrumentation, live flow maps, AI-driven root cause analysis. |
| No. | Session | What You'll Learn |
|---|---|---|
| 11 | JVM Architecture | JVM memory model, heap structure, GC deep dive, GC log analysis. High heap usage, memory leaks, GC overhead patterns. |
| 12 | Heap Dumps, Thread Dumps & Deadlocks | Analyse heap and thread dumps using JVisualVM and Yourkit. Identify deadlocks, thread locks, and multithreading issues. |
| 13 | JVM Tuning & Heap Sizing | GC tuning parameters, heap sizing strategy, UI page slowness, transaction response time degradation, load balancing and HA. |
| No. | Session | What You'll Learn |
|---|---|---|
| 14 | Oracle AWR & Wait Event Analysis | AWR report deep dive, top wait event identification. Python AWR scrubbing automation. DB parameter assessment. |
| 15 | SQL Tuning & Execution Plans | SQL query tuning, explain plan analysis, index strategy. ETL batch job optimisation and workload-based DB tuning. |
| 16 | DB Performance in Microservices | Connection pooling, Oracle RMS/RPM/ADF performance, MQ messaging performance under distributed load. |
| No. | Session | What You'll Learn |
|---|---|---|
| 17 | Cloud Performance Engineering (AWS) | AWS EC2 and Oracle Cloud distributed load testing. Auto-scaling validation, cost vs performance trade-offs. |
| 18 | Kubernetes & HPA Testing | Kubernetes performance strategy, HPA (Horizontal Pod Autoscaler) testing, Docker container performance, Shell automation scripts. |
| 19 | Microservices & Distributed Tracing | SOAP & REST API testing, SIEM application performance, distributed tracing tools and patterns. |
| No. | Session | What You'll Learn |
|---|---|---|
| 20 | AI Anomaly Detection & Predictive Analysis | AI/ML for anomaly detection in performance metrics. Predictive modelling, automated RCA with AI tools, integrating AI into performance workflow. |
| 21 | Root Cause Analysis: Sherlock Holmes Method | Structured RCA methodology, bottleneck isolation framework, performance defect management, evidence-based investigation. |
| 22 | Performance Reporting & Stakeholder Comms | Executive performance report writing, visualising results for non-technical audiences, test deliverables checklist, benchmarking recommendations. |
| No. | Session | What You'll Learn |
|---|---|---|
| 23 | Project Execution: Plan → Script → Run → Monitor | End-to-end project kickoff. Script generation, test data setup, live load test execution, real-time monitoring dashboard. |
| 24 | Project Analysis: RCA → Report → Present | Results analysis and RCA. Performance tuning recommendations. Final report creation and live stakeholder presentation. |
| 25 | From Bootcamp to Boardroom | Performance engineering career path, interview prep, resume & LinkedIn tips for PE roles, salary benchmarks and next steps. |
Enterprise Performance Engineer. Production Bottleneck Hunter. 11+ Years of Real-World Experience.
Visvashwarr is a seasoned Performance Engineering professional with over 11 years of hands-on experience across diverse enterprise domains — including Enterprise SIEM products, Web-based Applications, Web Services (SOAP & REST), Messaging Queue (MQ), ETL Batch Jobs, and Oracle Applications (RMS, RPM, ADF).
Deep expertise in identifying production bottlenecks: Java JVM high Heap usage, Memory Leaks, GC Overhead, Thread Locks, Multithreading issues, UI Page Slowness, Transaction Response Time Degradation, Load Balancing failures, and High Availability testing. Proficient in analysing JVM Heap Dumps, Thread Dumps, and GC logs using Jconsole, JVisualVM, and Yourkit.
Extensive scripting experience with LoadRunner (HTTP/HTML, Web Service, JAVA-Vuser, AJAX Truclient, RDP protocols), JMeter, and ALM Performance Center. Hands-on with Dynatrace and AppDynamics for enterprise APM. Cloud and DevOps experience spans AWS EC2, Oracle Cloud, Kubernetes, Docker, Jenkins CI/CD, and Shell scripting. Python automation: AWR scrubbing, Kibana report generation, and performance enhancements.
The JVM tuning and heap dump analysis sessions were eye-opening. Visvashwarr explains complex production bottlenecks with real enterprise examples — I've never seen this level of depth in any online course.
From NFR gathering to AWR reports — everything covered live with actual tools. The Jenkins CI/CD integration session was exactly what my team needed. Practical, no fluff, all production-grade skills.
The Dynatrace and AppDynamics hands-on was incredible. 11+ years of experience really shows — every session has real war stories from production and actionable techniques you can use the next day.
The cloud and Kubernetes sessions were excellent. Learning to validate HPA and auto-scaling under load is a skill most performance testers simply don't have. This course gave me a real competitive edge.
Every participant who successfully completes the training receives an official certificate from Isha Training Solutions — recognised by industry professionals.
Sample certificate — your name will be printed upon completion
To maintain the quality of our training and ensure a smooth learning experience for all participants, we do not allow batch repetition or switching between courses.
Moving from one course to another or shifting from one trainer to another (even if it is the same course) is not possible. Changing batches or trainers in any form is strictly not permitted.
We request all learners to attend the scheduled sessions regularly and make the most of their learning journey. Thank you for your understanding and continued support.
