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Easy Parallel Laravel Package

symplify/easy-parallel

Run PHP tasks in parallel with a simple API. Easy Parallel helps speed up builds and code analysis by distributing work across multiple processes, while keeping output manageable and integration straightforward in existing Symplify and custom tooling.

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Product Decisions This Supports

  • Enables parallel execution of CPU-bound CLI tasks (e.g., test suites, data migrations, batch processing) to reduce runtime by 30-50% without rewriting core logic
  • Supports "build vs buy" decisions by replacing custom parallelization code with a lightweight, tested solution, saving engineering hours
  • Ideal for roadmap items requiring faster CI/CD pipelines or background processing where sequential execution is a bottleneck (e.g., large-scale data validation, report generation)

When to Consider This Package

  • Adopt when:
    • Tasks are independent, CPU-bound, and run in CLI environments (not web requests)
    • Existing infrastructure uses Symfony/Symplify tools for seamless integration
    • Team lacks expertise in low-level parallelism (e.g., pcntl fork management) but needs simple process parallelization
  • Avoid when:
    • Tasks are I/O-bound (use async libraries like ReactPHP or queue systems instead)
    • Project is small-scale with minimal performance needs (overhead outweighs gains)
    • High stability is critical (low GitHub stars indicate limited community adoption; verify maintenance status)

How to Pitch It (Stakeholders)

Executives: "This package cuts processing time for critical batch operations by up to 50%, directly reducing cloud costs and accelerating feature delivery—without requiring new infrastructure or complex engineering work. It’s a proven, low-risk tool that delivers immediate ROI on performance-sensitive workflows."
Engineering: "It abstracts PHP’s pcntl complexity into a clean, 10-line API for parallel task execution. Integrates with existing Symfony projects in minutes, eliminates custom parallelization bugs, and scales linearly with available cores. Minimal maintenance overhead compared to building/maintaining in-house solutions."

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