Right on Queue: Message Queues Made Simple with Iron.io

All apps have a range of tasks that they perform for their end users, whether the user is aware of this or not. These might include processing images, collecting data, or an email service response when a user inputs their details or subscribes. Message queues can even collate data and analytics for your CRM or…

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How to Choose Message Queue Technology Selection

With dozens of options for message queue technology, even experienced professionals can feel frustrated when choosing the right microservices for their needs. The perfect messaging queue for your organization will depend on unique factors, such as how much you can afford to spend and how quickly you need your apps to process requests. The following…

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Overview Finding the best message queue for your organization gains importance as your networks and application integrations become more complex. You need a fail-safe message queue that sends requests quickly and reliably. Just one break in the chain can slow your entire system, making it difficult for you to complete business processes and fulfill client needs. It…

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Overview Language: Iron.MQ is language agnostic and Redis RQ supports Python, JavaScript, Ruby and GO, along with many others. Performance: Redis RQ is quite different from Iron.MQ and other message queuing services because it is not purely a message queuing system. Because of its in-memory database, it is best for real-time messages where persistence isn’t…

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Overview Language: Apache ActiveMQ supports a plethora of Cross Language clients and standard protocols like Java, Ruby, Perl, Python and PHP. Iron.mq also supports all major programming languages. Performance: Although both message services are top performers in their field, Iron.mq proves to be the faster, more powerful, and more reliable option with the bonus of…

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  VS Overview Discover the five key differences between Beanstalk vs Iron.MQ: Language: Beanstalk is pure Python but using client libraries users can configure the message queue to operate using a fair amount of language options including Ruby, Rails, Java, JavaScript, Haskell and PHP. Iron.MQ supports all major programming languages without the added hassle. Performance:…

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Iron was one of the pioneers of Serverless, so we’re excited to announce that we’ll also be one of the first companies to offer the next generation of compute:  It’s called Computerless™. Unlike Serverless, this technology removes the physical machine completely.  Our offering piggy-backs off the recent developments in fiber optic technology developed at the…

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Overview We’ve been working with, building, and evangelizing message queues for the last year, and it’s no secret that we think they’re awesome. We believe message queues are a vital component to any architecture or application, which is why we’ve put so much work into IronMQ. As you consider these 10 reasons, look into the ways…

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Batch processing is one of the earliest ways of data processing, utilized by Herman Hollerith’s Tabulating Machine in 1890. Batch processing was developed to take advantage of scarce computing resources: it avoids idling these expensive resources by queueing instructions to process data without manual user intervention, and can shift workload to times when resources are…

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