Santhosh C Performance testing, APM tools, CI/CD pipeline
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I provide end-to-end training on JMeter, LoadRunner, profiling tools, and a wide range of monitoring tools with complete real-time scenarios.

I share practical, industry-based knowledge from real performance engineering projects, including how to identify root causes and pinpoint bottlenecks during performance tests.

I cover all fundamental and advanced concepts of Performance Engineering, including workload modelling, script preparation, execution strategies, and test report analysis.

I teach performance testing for Java-based and .NET-based applications using JMeter, along with API performance testing.

I provide hands-on training on profiling tools such as JVM Profiler and JVisualVM to help students understand thread dumps, heap dumps, GC analysis, and memory leaks.

I cover enterprise-grade monitoring tools like New Relic, Dynatrace, and AppDynamics used in production and pre-production environments.

I also provide full training on Jenkins, CI/CD pipelines, and integrating performance tests into automated DevOps flows.

I teach how performance testing fits into DevOps, including pipeline optimisation, test automation, shift-left strategies, and integrating performance metrics into CI/CD dashboards.

I include AWS cloud-based performance testing, covering:

Deploying load generators on EC2

Monitoring cloud resources (CloudWatch)

Testing microservices hosted on AWS

Using S3 for test data

Scaling load using distributed architecture

Before interviews, I conduct mock interviews based on specific job descriptions to prepare students for real interview conditions.

I provide continuous support to students in preparing for performance test planning, execution, bottleneck identification, and reporting.

Subjects

LoadRunner Expert
AWS (Amazon Web Services) Beginner-Intermediate
JMeter Expert
CI/CD pipeline and release management Intermediate
Jmeter Performance Testing + Backend testing Expert

Experience

Senior performance tester (Aug, 2022–Present) at Redcloud London

Education

BE (Sep, 2005–now) from annamalai university, Chidambaram

Fee details

£10–13/hour (US$13.51–17.57/hour)

Courses offered

Performance Testing
- US$12
- Duration: 2 Months
- Delivery mode: Online
- Group size: Individual
- Instruction language: English, Tamil, Telugu
- Certificate provided: No
I provide end-to-end training on JMeter, LoadRunner, profiling tools, and a wide range of monitoring tools with complete real-time scenarios.

I share practical, industry-based knowledge from real performance engineering projects, including how to identify root causes and pinpoint bottlenecks during performance tests.

I cover all fundamental and advanced concepts of Performance Engineering, including workload modelling, script preparation, execution strategies, and test report analysis.

I teach performance testing for Java-based and .NET-based applications using JMeter, along with API performance testing.

I provide hands-on training on profiling tools such as JVM Profiler and JVisualVM to help students understand thread dumps, heap dumps, GC analysis, and memory leaks.

I cover enterprise-grade monitoring tools like New Relic, Dynatrace, and AppDynamics used in production and pre-production environments.

I also provide full training on Jenkins, CI/CD pipelines, and integrating performance tests into automated DevOps flows.

I teach how performance testing fits into DevOps, including pipeline optimisation, test automation, shift-left strategies, and integrating performance metrics into CI/CD dashboards.

I include AWS cloud-based performance testing, covering:

Deploying load generators on EC2

Monitoring cloud resources (CloudWatch)

Testing microservices hosted on AWS

Using S3 for test data

Scaling load using distributed architecture

Before interviews, I conduct mock interviews based on specific job descriptions to prepare students for real interview conditions.

I provide continuous support to students in preparing for performance test planning, execution, bottleneck identification, and reporting.