Senna is a background job processing library for Go, backed by Redis or Valkey. It provides reliable job queuing, scheduling, retries, rate limiting, and batch processing with a clean, middleware-based architecture.

• Redis 6.2+
• Valkey 7.2+

• Persistent job queues backed by Redis or Valkey
• Scheduled jobs (run at a specific time or after a delay)
• Automatic retries with configurable backoff
• Multiple queues with weighted or strict priority
• Sequential queues for ordered, one-at-a-time processing
• Distributed rate limiting (bucket, sliding window, leaky bucket, concurrent, points-based)
• Job batching with completion callbacks
• Iterable jobs for resumable large dataset processing
• Job argument encryption (AES-GCM)
• Unique jobs to prevent duplicates
• Graceful shutdown with in-flight job completion
• Middleware support for cross-cutting concerns
• Per-job concurrency limits

go get github.com/mgomes/senna

c, err := client.New(&client.Config{
    Redis:     senna.RedisConfig{Addr: "localhost:6379"},
    Namespace: "myapp",
})
if err != nil {
    log.Fatal(err)
}
defer c.Close()

// Enqueue immediately
c.Enqueue(ctx, "send_email", map[string]any{
    "to":      "user@example.com",
    "subject": "Welcome!",
})

// Enqueue with delay
c.EnqueueIn(ctx, 5*time.Minute, "send_reminder", map[string]any{"user_id": 123})

// Enqueue to specific queue
c.Enqueue(ctx, "process_payment", args, client.WithQueue("critical"))

w, err := worker.New(&worker.Config{
    Redis:     senna.RedisConfig{Addr: "localhost:6379"},
    Namespace: "myapp",
    Settings: senna.WorkerSettings{
        Concurrency: 10,
        Queues: []senna.QueueConfig{
            {Name: "critical", Priority: 10},
            {Name: "default", Priority: 5},
        },
    },
})
if err != nil {
    log.Fatal(err)
}

w.Register("send_email", func(ctx context.Context, job *senna.Job) error {
    to := job.Args["to"].(string)
    // Send email...
    return nil
})

w.Run(ctx) // Blocks until shutdown signal

For detailed documentation, see the Wiki:

• Getting Started - Installation and setup
• Enqueuing Jobs - Client API, scheduling, bulk enqueue
• Workers - Configuration, handlers, graceful shutdown
• Queues - Priority modes, sequential queues, dedicated workers
• Batches - Grouping jobs with callbacks
• Iterable Jobs - Resumable large dataset processing
• Rate Limiters - Distributed rate limiting algorithms
• Periodic Jobs - Cron-based scheduling
• Middleware - Built-in and custom middleware
• Error Handling - Retries, backoff, dead letter queue

MIT License. See LICENSE file for details.