A super efficient thread-based Amazon SQS message processor for Ruby applications.
Shoryuken is a thread-based message processor for Amazon SQS designed specifically for Ruby applications. It efficiently processes messages from SQS queues using a configurable thread pool architecture, enabling reliable background job processing in cloud environments. The library solves the problem of handling asynchronous tasks at scale while minimizing AWS API calls and resource consumption.
Ruby developers building applications on AWS that require reliable background job processing using Amazon SQS. Particularly useful for Rails applications needing Active Job integration with SQS.
Developers choose Shoryuken for its efficient thread-based architecture, deep SQS integration, and comprehensive feature set including load balancing, batch processing, and middleware support. It provides better performance than polling-based alternatives while maintaining full compatibility with Ruby's ecosystem.
A super efficient Amazon SQS thread based message processor for Ruby.
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Implements long polling to reduce AWS API calls and wait efficiently for messages, as highlighted in the key features.
Supports concurrency per queue and load balancing across multiple queues, allowing fine-tuned resource allocation.
Features exponential backoff for retries and auto-extend visibility timeout to handle long-running jobs reliably.
Integrates directly with Rails Active Job, making it easy to adopt in existing Rails applications for background processing.
Allows processing multiple SQS messages together, improving throughput and reducing per-message overhead.
Deeply tied to Amazon SQS, making it unsuitable for projects that might migrate to other cloud providers or use different message brokers.
Ruby's Global Interpreter Lock (GVL) can limit true parallelism in CPU-bound tasks, which might affect performance in some scenarios.
Requires AWS credentials and SQS queue management, adding complexity compared to simpler, in-memory job queues.
Key documentation is spread across a wiki, which might be less maintained or harder to navigate than integrated docs.