Amazon SQS vs Celery vs simplehttp

Amazon SQS
Amazon SQS

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Celery
Celery

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simplehttp
simplehttp

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- No public GitHub repository available -

What is Amazon SQS?

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

What is Celery?

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

What is simplehttp?

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        What are some alternatives to Amazon SQS, Celery, and simplehttp?
        Amazon MQ
        Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        Redis
        Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
        ActiveMQ
        Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
        Amazon SNS
        Amazon Simple Notification Service makes it simple and cost-effective to push to mobile devices such as iPhone, iPad, Android, Kindle Fire, and internet connected smart devices, as well as pushing to other distributed services. Besides pushing cloud notifications directly to mobile devices, SNS can also deliver notifications by SMS text message or email, to Simple Queue Service (SQS) queues, or to any HTTP endpoint.
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        How developers use Amazon SQS, Celery, and simplehttp
        Avatar of Karma
        Karma uses Amazon SQSAmazon SQS

        In the beginning we thought we wanted to start using something like RabbitMQ or maybe Kafka or maybe ActiveMQ. Back then we only had a few developers and no ops people. That has changed now, but we didn't really look forward to setting up a queuing cluster and making sure that all works.

        What we did instead was we looked at what services Amazon offers to see if we can use those to build our own messaging system within those services. That's basically what we did. We wrote some clients in Ruby that can basically do the entire orchestration for us, and we run all our messaging on both SNS and SQS. Basically what you can do in Amazon services is you can use Amazon Simple Notification Service, so SNS, for creating topics and you can use queues to subscribe to these topics. That's basically all you need for a messaging system. You don't have to worry about scalability at all. That's what really appealed to us.

        Avatar of Kalibrr
        Kalibrr uses CeleryCelery

        All of our background jobs (e.g., image resizing, file uploading, email and SMS sending) are done through Celery (using Redis as its broker). Celery's scheduling and retrying features are especially useful for error-prone tasks, such as email and SMS sending.

        Avatar of Cloudify
        Cloudify uses CeleryCelery

        For orchestrating the creation of the correct number of instances, managing errors and retries, and finally managing the deallocation of resources we use RabbitMQ in conjunction with the Celery Project framework, along with a self-developed workflow engine.

        Avatar of Brandon Adams
        Brandon Adams uses Amazon SQSAmazon SQS

        This isn't exactly low-latency (10s to 100s of milliseconds), but it has good throughput and a simple API. There is good reliability, and there is no configuration necessary to get up and running. A hosted queue is important when trying to move fast.

        Avatar of MOKA Analytics
        MOKA Analytics uses CeleryCelery

        We maintain a fork of Celery 3 that adds HTTPS support for Redis brokers. The Winning Model currently uses Celery 3 because Celery 4 dropped support for Windows.

        We plan on migrating to Celery 4 once Azure ASE supports Linux apps

        Avatar of Simple Merchant
        Simple Merchant uses Amazon SQSAmazon SQS

        SQS is the bridge between our new Lambda services and our incumbent Rails applications. Extremely easy to use when you're already using other AWS infrastructure.

        Avatar of Yaakov Gesher
        Yaakov Gesher uses CeleryCelery

        We used celery, in combination with RabbitMQ and celery-beat, to run periodic tasks, as well as some user-initiated long-running tasks on the server.

        Avatar of Dieter Adriaenssens
        Dieter Adriaenssens uses CeleryCelery

        Using Celery, the web service creates tasks that are executed by a background worker. Celery uses a RabbitMQ instance as a task queue.

        Avatar of Olo
        Olo uses Amazon SQSAmazon SQS

        Primary message queue. Enqueueing operations revert to a local file-system-based queue when SQS is unavailable.

        Avatar of IndiTip
        IndiTip uses Amazon SQSAmazon SQS

        I can't afford to lose data if Dynamo throttles my writes, so everything goes into a message queue first.

        How much does Amazon SQS cost?
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