Posts Tagged ‘IronWorker’
How Cine.io Uses Node.js and IronWorker to Handle Their Background Processing
The following is a guest blog post by Thomas Shafer describing how cine.io deploys their workers within Iron.io to handle all of their background processing. Cine.io is the only true developer-focused live streaming service. We offer APIs and SDKs for all mobile platforms and language frameworks and let developers build and ship live-streaming capabilities with…
Read MoreA Better Mobile Compute Cloud: NodeJS + Iron.io (repost from ShoppinPal)
There are number of tools for creating mobile apps but the one area that can be challenging is handling the background processing that takes place within mobile applications. A popular mobile app, ShoppingPal, is using Iron.io to handle its background processing needs with great results. They wrote a recent post on their success in moving…
Read MoreHow One Developer Serves Millions of Beers: Untappd + Iron.io
Untappd – The Mobile App for Beer Lovers Untappd provides a mobile check-in application for beer lovers. Their application has been downloaded by over a million users and on any given night, they can register over 300,000 individual checkins and social sharing events. The Untappd application lets users record their beer selections, share their likes…
Read MoreGo, IronWorker, and SendGrid at Gengo (a repost)
Shawn Smith from Gengo recently wrote a post on their use of Go, the programming language that we also use at Iron.io for our backend services. (Gengo is a popular people-powered translation platform based in Tokyo and San Mateo.)The post discusses several of the apps where they’re using Go including a deployment app and several…
Read MoreIron.io Releases Dedicated Worker Clusters
IronWorker Now Offers Dedicated Worker Clusters Dedicated workers clusters are now available within IronWorker. Sets of workers can be provisioned to run tasks on a dedicated basis for specific customers. The benefits include guaranteed concurrency and stricter latencies on task execution. This capability is designed for applications that have a steady stream of…
Read MoreIron.io Releases High Memory Workers
IronWorker Can Now Handle Larger Tasks We’re pleased to announce the availability of high-memory workers within IronWorker. This new capability will provide greater processing power to tackle even more ambitious tasks. The added boost to the IronWorker environment is perfect for tasks that consume large amounts of computing resources – tasks that might include big data…
Read MoreHow HotelTonight uses Iron.io and AWS Redshift to create Ruby-based ETL pipeline (repost)
Creating an ETL pipeline with Iron.io and Redshift Operating at scale in the cloud almost always equates to having a highly distributed system architecture in place to handle workloads by auto-scaling components out horizontally Harlow Ward is a developer at HotelTonight and he put together a great post on how they handle issues of…
Read MoreReal-time Logging for IronWorker with Logentries (repost)
Real-time logging of workers tasks is a popular feature in IronWorker. We provide an interface to third-party logging components and services which allows you to send your log output to any syslog endpoint and see the output in real-time. Prior to this, you had to wait for your task to finish before being able to view a log…
Read MoreSchedule Email with SendGrid and Iron.io (repost)
Using IronWorker to Schedule Emails in Node.js, Ruby, and PHP Schedule Email with SendGrid and Iron.io Nick Quinlan from SendGrid just put out a really nice post on using IronWorker to schedule email using SendGrid. And what’s even better is he shows how to do it in three languages: Node.js PHP Ruby
Read MoreBuilding an Analytics Engine using MongoDB, Go, and Iron.io
Building a Relevancy Engine Using MongoDB and Go On the heels of a recent post on powering intelligent traffic systems using MongoDB and Iron.io comes a presentation on building an analytics engine using MongoDB, Go, and Iron.io. William Kennedy gave a presentation on his recent work at GopherCon and friends of ours from Sourcegraph were kind enough to write up details…
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