DevOps serverless application tools to run background tasks with Docker containers and manage messaging queues with cloud elasticity and no vendor lock-in
Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages. Itβs a task queue with focus on real-time processing, while also supporting task scheduling.
What can developer do with IronMQ
Supports a rich set of features including push and pull queues, long polling, error queues, alerts and triggers, and more.
MQ is a global service that runs on multiple clouds and availability zones. For advanced users with critical messaging needs, queues can automatically point to alternative zones in case of an outage without having to change any code.
Runs on top of cloud infrastructure and uses multiple high-availability data centers. MQ scales without the need for you to add and maintain resources yourself.
Uses HTTPS/Rest-based APIs for simple and efficient cloud use. Built with MQ standards in mind for maximum flexibility and configuration.
What can developer do with Celery
Celery is easy to use and maintain, and it doesnβt need configuration files. It has an active, friendly community you can talk to for support, including a mailing-list and an IRC channel.
Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica replication.
A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings).
Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more.
How much does IronMQ cost?
No public pricing information
How much does Celery cost?
Open source and free
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