I'm Nagam Naidu 👋

I'm passionate about building robust and scalable automation frameworks from scratch. With a deep understanding of testing methodologies and automation technologies, I specialize in creating end-to-end solutions that are not only efficient but also adaptable to evolving project needs. My frameworks are designed to integrate seamlessly into CI/CD pipelines, ensuring continuous delivery of high-quality software.

• Framework Development: Built multiple auto-scalable automation frameworks designed for flexibility and performance.

  • Pytest: Developed frameworks for unit and integration testing, ensuring thorough validation of code quality.
  • Puppeteer: Created UI performance testing frameworks to benchmark and optimize front-end applications.
  • Playwright: Implemented robust browser automation frameworks for cross-browser testing, ensuring comprehensive coverage and reliability.
  • JMeter: Designed frameworks for API performance and load testing, enabling the identification and resolution of bottlenecks.
  • Docker: Containerized applications and testing environments for consistent and reproducible builds across various environments.
  • Data Validation Pipelines: Engineered data validation pipelines that guarantee data integrity and accuracy across complex systems.
  • Real-Time Data Replay Framework: Developed a framework to simulate and test real-world data scenarios, ensuring reliability in production.
  • End-to-End Test Load/Performance Dashboard: Built dashboards to monitor, analyze, and visualize testing metrics for informed decision-making.
  • Scalable Auto-Scalable Framework for Selenium Grid on AWS: Created an auto-scalable framework to support parallel test execution, drastically reducing test times in large-scale environments.
  • Scalable Kubernetes Across Clusters: Implemented Kubernetes solutions for efficient resource utilization and test execution across multiple clusters.
  • Real-Time Monitoring & Reporting: Integrated real-time monitoring and reporting dashboards into frameworks, providing actionable insights into test performance and helping teams make quick, informed decisions.

• Continuous Integration: Integrated these frameworks into CI/CD pipelines using tools like Jenkins, enabling seamless testing and deployment processes.

• Performance Engineering: Focused on enhancing application performance through load testing, optimization, and monitoring with Grafana.

Successfully reduced the execution time from approximately 15 minutes to just 2 minutes by migrating it to Kubernetes. This migration not only improved performance but also enhanced the scalability and reliability of the API, allowing it to handle larger volumes of requests with ease. The Kubernetes deployment ensured optimal resource allocation and automated scaling based on demand.

Revolutionized the test automation process by migrating Selenium Grid to Kubernetes, significantly improving the ability to scale parallel automation. This migration allowed for dynamic scaling of nodes based on the workload, enabling faster execution of test suites and reducing overall test execution time. The Kubernetes-based grid also enhanced fault tolerance and simplified the management of test environments across different clusters.

Played a pivotal role in integrating continuous performance testing into the CI/CD pipeline, with seamless Grafana integration for real-time monitoring. This integration provided immediate feedback on performance metrics during the development cycle, ensuring that performance regressions were identified and addressed early. The use of Grafana dashboards enabled the visualization of key performance indicators, making it easier for teams to track progress and make data-driven decisions.