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Playwright, Flakiness mitigation, Currents dashboard, and more
Manage episode 409485260 series 3490860
Uncover the secrets of Currents, the innovative tool revolutionizing the way we approach parallel CI test analysis in the cloud. Learn how Currents not only elevates popular testing frameworks like Cypress and Playwright, but also harmonizes with development workflows, offering critical insights to pinpoint and address flaky tests with precision. Andrew Goldis shares his groundbreaking strategies for aggregating test data, calculating flakiness rates, and mapping out test performance over time to guide strategic improvements.
This episode is packed with insights for speeding up accelerating CI pipelines, mastering flakiness rate analysis, optimizing CI parallelization, and enhancing test analytics integration.
With a focus on orchestrating test executions, Nikolay and Andrew deliver a narrative that encapsulates the essence of advancing test efficiency and quality.
Join us as we explore Currents' potential to streamline debugging processes, fostering an environment of continuous learning and adaptation amidst the rapidly evolving landscape of automation testing standards.
CONNECT WITH ANDREW GOLDIS
π¦ X: https://twitter.com/agoldis?lang=en
π‘ LINKEDIN (consider leaving a Recommendation): https://www.linkedin.com/in/agoldis/
CONNECT WITH NIKOLAY ADVOLODKIN
π WEBSITE: https://ultimateqa.com
π¦ X: https://X.com/Nikolay_A00
π‘ LINKEDIN (consider leaving a Recommendation): https://www.linkedin.com/in/nikolayadvolodkin/
π¨βπ» GITHUB: https://github.com/nadvolod
β¨ TIKTOK: https://www.tiktok.com/@nikolay.advolodkin/
πΈ INSTAGRAM: https://www.instagram.com/nikolay.advolodkin/
π§ EMAIL: nikolay@saucelabs.com
JOIN THE CONVERSATION!
π₯ Subscribe to our YouTube channel now and get access to the latest exclusive shows, before anyone else! https://www.youtube.com/@test-automation-experience
βΆ Sauce YouTube channel: https://www.youtube.com/@SauceLabs_Official
βπ€β Community page: https://saucelabs.com/community
π Home Page: https://saucelabs.com/
60 episode
Manage episode 409485260 series 3490860
Uncover the secrets of Currents, the innovative tool revolutionizing the way we approach parallel CI test analysis in the cloud. Learn how Currents not only elevates popular testing frameworks like Cypress and Playwright, but also harmonizes with development workflows, offering critical insights to pinpoint and address flaky tests with precision. Andrew Goldis shares his groundbreaking strategies for aggregating test data, calculating flakiness rates, and mapping out test performance over time to guide strategic improvements.
This episode is packed with insights for speeding up accelerating CI pipelines, mastering flakiness rate analysis, optimizing CI parallelization, and enhancing test analytics integration.
With a focus on orchestrating test executions, Nikolay and Andrew deliver a narrative that encapsulates the essence of advancing test efficiency and quality.
Join us as we explore Currents' potential to streamline debugging processes, fostering an environment of continuous learning and adaptation amidst the rapidly evolving landscape of automation testing standards.
CONNECT WITH ANDREW GOLDIS
π¦ X: https://twitter.com/agoldis?lang=en
π‘ LINKEDIN (consider leaving a Recommendation): https://www.linkedin.com/in/agoldis/
CONNECT WITH NIKOLAY ADVOLODKIN
π WEBSITE: https://ultimateqa.com
π¦ X: https://X.com/Nikolay_A00
π‘ LINKEDIN (consider leaving a Recommendation): https://www.linkedin.com/in/nikolayadvolodkin/
π¨βπ» GITHUB: https://github.com/nadvolod
β¨ TIKTOK: https://www.tiktok.com/@nikolay.advolodkin/
πΈ INSTAGRAM: https://www.instagram.com/nikolay.advolodkin/
π§ EMAIL: nikolay@saucelabs.com
JOIN THE CONVERSATION!
π₯ Subscribe to our YouTube channel now and get access to the latest exclusive shows, before anyone else! https://www.youtube.com/@test-automation-experience
βΆ Sauce YouTube channel: https://www.youtube.com/@SauceLabs_Official
βπ€β Community page: https://saucelabs.com/community
π Home Page: https://saucelabs.com/
60 episode
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