Alpha

Fire Tasks, We Call Your Endpoint

Push work to a queue and receive HTTP callbacks when it runs. Priorities, delays, and retries handled for you.

Task queues

Process background jobs without worker infrastructure

Push tasks to queues with priorities, delays, and rate limits. Tasks deliver to your HTTP endpoints with automatic retries and dead-letter handling for failures.

Capabilities

Everything you need for task queues

FIFO ordering

Tasks process in the order they were added. Guarantee sequential processing when order matters.

Priority levels

Assign priorities to queues. Higher priority queues process before lower priority when both have pending tasks.

Delayed tasks

Schedule tasks to process after a delay. Send reminder emails 24 hours after signup without cron jobs.

Rate limiting

Limit how fast tasks deliver to avoid overwhelming downstream services. Respect external API rate limits automatically.

Automatic retries

Failed tasks retry with configurable backoff. Transient failures recover without manual intervention.

Dead-letter handling

Tasks that fail all retries move to dead-letter queues. Inspect, debug, and reprocess failed tasks.

< 100ms
Dequeue latency

Task pickup time

1M+
Tasks per queue

No practical limit

99.99%
Delivery guarantee

At-least-once delivery

Why it matters

Process background jobs without workers

Background jobs without workers

Traditional queue workers require always-running processes, scaling decisions, and failure handling. Conjoin Queues delivers tasks to serverless endpoints without persistent infrastructure.
In practice

Push an image processing task. Queues calls your /process-image endpoint with the payload. Your serverless function runs, processes the image, and returns. No workers to scale or monitor.

Rate limiting built in

External APIs have rate limits that require careful management. Queues delivers tasks at configured rates without building throttling logic.
In practice

Sync 10,000 records to an API that allows 100 requests per minute. Push all tasks to the queue with a rate limit. Queues delivers exactly 100 per minute without overwhelming the API.

Reliable delivery with dead-letter

Failed tasks typically require custom tracking and reprocessing. Queues automatically retries and moves persistent failures to dead-letter for investigation.
In practice

A task fails because an external API is down. Retries happen at 1, 5, 15, and 60 minutes. If all fail, the task moves to dead-letter. When the API recovers, replay from dead-letter.

Built for Your Workflow

Ship faster with solutions designed for real-world needs

How Conjoin solves this

Push tasks to queues with HTTP endpoint targets. Conjoin dequeues tasks and calls your endpoints without requiring persistent worker processes.

Impact

Process background jobs on serverless platforms without worker infrastructure.

How Conjoin solves this

Configure rate limits per queue. Conjoin delivers tasks at the specified rate, preventing you from exceeding external API limits regardless of how fast tasks are enqueued.

Impact

Respect API rate limits without building throttling logic.

How Conjoin solves this

Push tasks with delay parameters. Tasks hold in the queue until the delay expires, then process normally with the same retry and delivery guarantees.

Impact

Schedule future tasks without building scheduling infrastructure.

How Conjoin solves this

Tasks that fail all retry attempts move to dead-letter queues. Inspect failed tasks with their error messages, fix the underlying issue, and replay them with one call.

Impact

Recover failed tasks without building failure tracking or replay logic.

Ship your application today

Start building with Conjoin today. Free tier includes everything you need to prototype and launch. Scale when you're ready.