cicd

CI/CD category on PerfOptimization to explore the essential practices and tools for continuous integration and continuous deployment. This section provides comprehensive guides and best practices for automating the build, test, and deployment processes, ensuring a smooth and efficient software development lifecycle. Learn about setting up Jenkins pipelines, integrating testing frameworks, managing deployment strategies, and optimizing your CI/CD workflows. Whether you’re new to CI/CD or looking to enhance your existing processes, find expert insights and practical tips to drive continuous delivery and improve your software development efficiency. #perfOptimization

Jenkins for playwright in docker

Setting Up Jenkins for Playwright Test Execution in Docker Containers

In modern software development, achieving efficient and consistent test automation requires leveraging advanced technologies and practices. Integrating Docker with Jenkins for executing Playwright tests provides a powerful combination that ensures reproducible test environments, scalability, and streamlined CI/CD processes. This detailed tutorial will guide you through setting up Jenkins for running Playwright tests inside Docker containers, […]

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Optimizing Jenkins Pipeline for Playwright: Parallelism, Retry Mechanism, and Cross-Browser Testing

In the previous article, we discussed the basics of setting up a Jenkins pipeline for Playwright testing, covering essential steps such as installing dependencies, running tests, and adding linting or deployment stages. In this follow-up, we will delve into more advanced techniques that enhance efficiency and test coverage in your Jenkins CI/CD pipeline. In this

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Distributed Testing in JMeter

Mastering Distributed Testing with JMeter: Setting Up a Master-Slave Configuration

Apache JMeter, a powerful open-source tool, offers distributed testing features that allow users to spread the test load across multiple machines, creating a more realistic and scalable testing scenario. Distributed testing is vital for performance testers who need to simulate thousands or even millions of virtual users across different geographic locations, network conditions, and devices.

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