Celery vs Kestrel vs simplehttp





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 Kestrel?

Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.

What is simplehttp?

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      What are the cons of using Celery?
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          What tools integrate with Celery?
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              What are some alternatives to Celery, Kestrel, and simplehttp?
              RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
              Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
              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.
              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.
              The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.
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              Decisions about Celery, Kestrel, and simplehttp
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              How developers use Celery, Kestrel, and simplehttp
              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 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 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.

              How much does Celery cost?
              How much does Kestrel cost?
              How much does simplehttp cost?
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