The Ephemeral Life of Dockerized Microservices

Overview When using the word ‘ephemeral’, it’s hard not to think of Snapchat these days, however, the concept applies to the on-demand computing pattern we promote here at Iron.io with our task processing service IronWorker. At a glance, each Docker container in which a task runs is only alive for the duration of the process…

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AWS Lambda vs IronWorker

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Overview   If imitation is the sincerest form of flattery, then consider us flattered by Amazon. The new AWS Lambda service is nearly the same thing as Iron.io’s IronWorker service, solving the same problem with a slightly different API. I took it on as a project recently to compare and contrast how each service works, how…

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Iron.io Launches IronWorker within the Azure Marketplace

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Iron.io is pleased to announce it is offering its IronWorker platform as an Application Service within the Azure Marketplace, providing a key infrastructure component that gives developers immediate access to highly scalable event-driven computing services. Every application in the cloud needs to process workloads on a continuous basis, at scale, on a schedule, or in…

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Iron.io Adds Named Schedules

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Iron.io is pleased to announce named schedules as a feature in its IronWorker service. Giving names or labels to schedules may seem a small feature but it’s been a common request from a number of users managing large workloads. Users can now give scheduled tasks labels when uploading the tasks to IronWorker or add them…

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Iron.io Adds Longer Running Workers

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  Long-Running Workers are Now Available in IronWorker Iron.io is happy to announce long-running workers are now available within IronWorker. Up until now, workers running on the platform have been limited to 60 minutes in duration. Users on Production and Enterprise plans or using Dedicated Clusters can now have workers that run for hours at…

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How to Build an ETL Pipeline for ElasticSearch Using Segment and Iron.io

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Overview ETL is a common pattern in the big data world for collecting and consolidating data for storage and/or analysis. Here’s the basic process: Extract data from a variety of sources Transform data through a set of custom processes Load data to external databases or data warehouses   Segment + Iron.io + Elasticsearch = A…

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New FFmpeg IronWorker Stack For Easy Video Processing

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FFmpeg is the leading cross-platform solution to record, convert and stream audio and video. Dealing with audio and video can eat up resources, making the activity a great fit for IronWorker by moving the heavy lifting to the background. In the past, usage of FFmpeg with IronWorker would require that our users include and install…

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Orchestrating PHP Dependencies with Composer and IronWorker

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Package your dependencies on IronWorker using composer Overview This is a tutorial describing how to include and use the PHP package management tool Composer with IronWorker. Composer is a tool for dependency management in PHP. It allows you to declare the dependent libraries your project needs, and it will install them in your project for…

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