Most Playwright CI/CD tutorials give you disconnected question-and-answer clips. This video walks through it as one continuous story — every answer leads directly into the next problem, the same way a real interview conversation builds.

We start from the most basic pain point — a test suite that's gotten too slow — and follow the chain all the way to a production-ready pipeline that combines GitHub Actions sharding with Docker.

🔹 What you'll learn:
What CI/CD actually means and why automated tests are the gatekeeper
How to structure a GitHub Actions workflow for Playwright
Where Playwright tests physically run, and why a single runner hits a wall
Two ways to scale: Azure cloud-hosted browsers vs GitHub Actions shards
How sharding actually works — shardIndex, shardTotal, and the --shard=X/N flag explained with a real example
Where Playwright workers fit in alongside shards, and how they multiply together
How to merge multiple shard reports into a single HTML report
Azure vs GitHub shards — real cost, scaling, and control trade-offs
The exact real-world failure GitHub's ubuntu-latest update caused for Playwright pipelines
What Docker is, and how it fixes that failure for good
The final, complete GitHub Actions YAML: sharding + Docker + merged reporting


📚 This video is part of Rahul Shetty Academy's Playwright Automation Testing Interview Series.

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