Managing concurrent, long-running tasks without browser context leakage

Question

Managing concurrent, long-running tasks without browser context leakage

Answer

Imagine you are building a large-scale e-commerce QA suite using Playwright. Your test suite needs to execute hundreds of concurrent user journeys (e.g., checkout flows, complex search filtering, API integration tests) across multiple virtual users, simulating heavy load.

Each user journey is a long-running task that involves navigation, several API calls (which must be mocked/intercepted), and complex interactions, taking several seconds to complete. Crucially, these tasks are initiated and managed asynchronously within a single test runner instance, often using a pool of worker threads.

The core problem is that under high concurrency, you are observing intermittent, non-deterministic browser process leakage. While the tests pass functionally, the CI runner’s memory footprint continuously grows, eventually leading to flakiness or test runner crashes due to resource exhaustion. Standard test.afterAll cleanup methods are insufficient because the leak happens during the rapid, concurrent lifecycle of many isolated, long-running tasks.

As a Staff Engineer, describe a production-grade architectural pattern using Playwright’s API (or external tooling) to guarantee that every browser context, page, and related resource is deterministically cleaned up, even if a task fails mid-execution or if the cleanup logic itself is bypassed due to an asynchronous exception.

Specifically, address:

1. How do you ensure the scope of cleanup is tightly bound to the initiation of the asynchronous task, rather than relying solely on the test file’s final hooks?
2. Which specific Playwright constructs (e.g., browser.newContext(), page.close(), context.close(), etc.) are critical, and how do you wrap their usage to enforce guaranteed execution, regardless of success or failure?
3. Provide a conceptual code structure (e.g., using a class wrapper or a dedicated manager) demonstrating how this pattern would manage the lifecycle of Context and Page objects for a pool of concurrent workers.