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Speaker: Divya Prakash | LinkedIn

Topic: Modernizing the Monolith: Accelerating Playwright Migration with AI and Automated Visibility

Agenda:
🕛 9:00–9:05 AM PST — Welcome
🕛 9:05–9:55 AM PST — Divya Prakash | LinkedIn Modernizing the Monolith: Accelerating Playwright Migration with AI and Automated Visibility
🕛 9:55–10:00 AM PST — Q&A & Closing

Summary :
Modern Quality Engineering requires a layered approach that distributes testing across API, UI, and production rather than relying on a single layer to catch every issue.

In this session, Divya Prakash will share a practical approach to building a modern Quality Engineering strategy, starting with an API-first foundation to catch defects early in core business logic. The discussion will explore how teams can strengthen their testing strategy while improving speed, stability, and reliability across the delivery pipeline.

The session will also cover modernizing legacy UI automation by migrating Selenium Java suites to Playwright TypeScript, along with practical ways to streamline automation workflows through automatic test-result uploads and defect creation directly in Jira.

The discussion will then move beyond deployment with shift-right practices that extend testing into live production environments. Divya will demonstrate how Datadog synthetic monitoring can continuously run real-world user journeys in production, helping teams identify issues proactively before customers encounter them.

The session will bring these practices together into one practical blueprint, showing how API testing, UI automation, automated reporting, and production monitoring can work together to create a more reliable and resilient Quality Engineering ecosystem.

Takeaways :
What attendees will learn:

  1. How to build a modern, layered Quality Engineering strategy across API, UI, and production
  2. Why an API-first approach can help catch defects earlier in core business logic
  3. How to modernize legacy Selenium Java automation using Playwright TypeScript
  4. How automated Jira reporting can reduce manual effort and improve visibility into test results and defects
  5. How shift-right testing extends Quality Engineering into live production environments
  6. How synthetic monitoring can continuously validate real-world user journeys and detect production issues proactively
  7. How ReadyAPI, Playwright, and Datadog can work together as part of an end-to-end Quality Engineering strategy

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Related topics

Cloud Computing
Software Engineering
Software QA and Testing
Test Automation
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