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Queue Laravel Package

tarantool/queue

PHP bindings for Tarantool Queue (LuaRock). Connect to a Tarantool instance and work with tubes: put tasks, consume/reserve/ack/bury/release, inspect stats, and call custom queue methods. Install via Composer; requires a configured running Tarantool server.

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Product Decisions This Supports

  • Scalable Background Processing: Enables asynchronous task execution (e.g., email sends, report generation, data processing) without blocking user-facing requests, improving system responsiveness and scalability.
  • Decoupled Architecture: Supports microservices or modular monoliths by offloading non-critical tasks to a dedicated queue system, reducing coupling between services.
  • Roadmap for Reliability: Justifies investment in a robust queue system to replace ad-hoc solutions (e.g., cron jobs, database polling) that may fail under load or lack observability.
  • Build vs. Buy: Avoids reinventing a queue system (e.g., custom Redis/DB-based queues) by leveraging a battle-tested, PHP-native solution with Laravel integration.
  • Use Cases:
    • High-volume batch processing (e.g., user onboarding flows, analytics pipelines).
    • Real-time notifications or alerts (e.g., Slack/Discord webhooks).
    • Long-running tasks (e.g., video encoding, PDF generation) with progress tracking.
    • Retry mechanisms for transient failures (e.g., API rate limits, network issues).

When to Consider This Package

Adopt if:

  • Your Laravel app needs scalable, persistent task queues with retry/failure handling (e.g., >100 concurrent jobs or tasks >5s runtime).
  • You require monitoring (e.g., job status, backlog size, failure rates) for operational visibility.
  • Your stack already uses Tarantool (in-memory database) or you’re open to adopting it for high-performance queue storage.
  • You prioritize PHP-native solutions over external tools (e.g., RabbitMQ, Sidekiq) to reduce operational overhead.

Look elsewhere if:

  • You need distributed task processing across multiple servers/clusters (consider RabbitMQ, Kafka, or Sidekiq).
  • Your team lacks Tarantool expertise or prefers a more widely adopted queue backend (e.g., Redis with Laravel Queues).
  • You require advanced features like delayed jobs, priority queues, or horizontal scaling out-of-the-box (evaluate Laravel Horizon or commercial tools).
  • Your workload is low-volume (<10 jobs/hour) and can use Laravel’s built-in queue drivers (database, sync).

How to Pitch It (Stakeholders)

For Executives: "This package lets us offload time-consuming tasks (e.g., processing uploads, sending emails) from our web servers, making our app faster and more reliable. It’s like adding a ‘background worker’ team that handles repetitive jobs while our main team focuses on user requests. Tarantool’s in-memory database ensures low latency, and built-in monitoring helps us catch issues early. This reduces server costs (no over-provisioning) and improves scalability for growth—similar to how Netflix or Uber handle millions of background tasks."

For Engineering: *"tarantool/queue gives us a Laravel-native, Tarantool-backed queue system with:

  • Job persistence: No lost tasks if workers crash.
  • Retry logic: Automatic retries for transient failures (e.g., API timeouts).
  • Monitoring: Track job progress, failures, and backlog via Laravel’s queue tools.
  • Performance: Tarantool’s low-latency storage outperforms database queues for high-throughput workloads. Tradeoff: Requires Tarantool setup, but avoids vendor lock-in to Redis/Sidekiq. Ideal for replacing cron jobs or custom queue solutions."*
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