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Dload Laravel Package

internal/dload

DLoad is a PHP tool to download and manage binary artifacts (RoadRunner, Temporal, custom tools) for your projects. It automates installs, pins versions, handles cross-platform builds, and keeps binaries out of VCS via CLI and config.

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Product Decisions This Supports

  • Developer Experience (DX) Enhancement:

    • Automate binary tooling setup (e.g., RoadRunner, Temporal, CLI tools) to reduce onboarding friction for engineers.
    • Eliminate manual curl/wget scripts or hardcoded paths in CI/CD pipelines, improving maintainability.
    • Roadmap: Prioritize projects requiring consistent tooling (e.g., microservices, event-driven architectures).
  • Build vs. Buy:

    • Buy: Avoid reinventing binary distribution logic (e.g., custom scripts, Ansible roles).
    • Build: Extend the package for internal tooling (e.g., custom software registry, private binaries) if open-source limitations exist.
  • Use Cases:

    • CI/CD Optimization: Replace flaky post-install scripts with declarative dload.xml configurations.
    • Cross-Platform Teams: Standardize tool versions across Linux/Windows/macOS environments.
    • PHAR/Asset Management: Distribute frontend assets (e.g., Node.js binaries, Docker CLI) alongside PHP code.
    • Custom RoadRunner: Build tailored binaries with specific plugins (e.g., Temporal + KV store) without manual Go builds.
  • Security/Compliance:

    • Enforce version pinning (e.g., ^2025.1.0) to mitigate supply-chain risks in binary dependencies.
    • Roadmap: Add checksum validation or signed artifact support for critical tools.

When to Consider This Package

  • Adopt if:

    • Your PHP project relies on external binaries (e.g., RoadRunner, Temporal, CLI tools) with version consistency needs.
    • You manage multi-platform teams (Windows/Linux/macOS) and want to avoid manual setup steps.
    • CI/CD pipelines currently use ad-hoc scripts (e.g., Bash, PowerShell) to fetch binaries.
    • You need to distribute non-PHP assets (e.g., frontend tooling, Docker binaries) alongside code.
    • Developer onboarding is slow due to missing tooling (e.g., "install RoadRunner first").
  • Look elsewhere if:

    • Your binaries are trivial (e.g., single curl-able files) and don’t require versioning/extraction.
    • You use containerized environments (Docker/Kubernetes) where binaries are pre-installed.
    • Your team prefers manual control over tooling (e.g., "let developers handle their own installs").
    • You need enterprise-grade features (e.g., proxy caching, air-gapped deployments) not covered by the BSD-3 license.
    • Your binaries are proprietary and require custom authentication (e.g., private GitHub repos).

How to Pitch It (Stakeholders)

For Executives:

*"DLoad solves a critical pain point in PHP development: consistent, automated setup of binary tools like RoadRunner or Temporal. Today, engineers waste time manually installing tools or debugging broken CI pipelines due to missing binaries. This package:

  • Reduces onboarding time by 30–50% with zero-touch tooling setup.
  • Eliminates flaky CI/CD jobs caused by inconsistent binary versions.
  • Future-proofs our stack by supporting custom RoadRunner builds and cross-platform teams. For $0 cost (BSD-3 license), we gain enterprise-grade tooling distribution—comparable to npm’s node-gyp or Go’s go install."

For Engineering:

*"DLoad replaces fragile curl | bash scripts with a declarative, maintainable way to manage binaries:

  • Composer integration: Add dload get to post-update-cmd for automatic setup.
  • Cross-platform: Works on Linux/Windows/macOS without platform-specific hacks.
  • Extensible: Supports custom software registries, PHAR tools, and even RoadRunner plugin builds. Example: Replace your install-tools.sh with a dload.xml config—no more ‘works on my machine’ issues."*

For DevOps/SRE:

*"This package standardizes binary distribution in CI/CD:

  • Pin versions (e.g., rr:^2025.1.0) to avoid supply-chain risks.
  • Integrates with GitLab CI (sample config provided) for reproducible builds.
  • Reduces pipeline complexity by consolidating binary fetches into one step. Use case: Add dload get to your before_script to ensure all jobs start with the same tooling."*
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