Today we are excited to announce the second alpha release of IronFunctions, the language-agnostic serverless microservices platform that you can run anywhere; on public, private, and hybrid clouds, even on your own laptop. The initial release of IronFunctions received some amazing feedback and we’ve spent the past few months fixing many of the issues reported. Aside…

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We are pleased to announce a new project to enable Functions as a Service (FaaS) on OpenStack — Picasso. The mission is to provide an API for running FaaS on OpenStack, abstracting away the infrastructure layer while enabling simplicity, efficiency, and scalability for both developers and operators. Picasso can be used to trigger functions from OpenStack services,…

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In February, we launch a beta called Project Kratos. It promised to bring Lambda-like functionality to any cloud – public, private, hybrid or on-premises. As we quickly approach Q4, February seems like a long time ago, but so much has happened since then. Over the past seven months, serverless computing has gained momentum as more…

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Being Innovative and enabling developers to innovate are driving forces for Iron.io. It’s what we do. Having said that, it’s very nice when we receive outside recognition. When the recognition is part of a well thought out analysis from IDC, it is fantastic. I’m happy to report that, Iron.io was named an IDC Innovator in…

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Here’s some cool news. Iron.io was recently named a “Cool Vendor” in the Cool Vendors in Platform as a Service, 2016[1] report by Gartner. The report puts Iron.io on an extremely short list with just three other vendors in the space: Clusterpoint in London, England; Flybits in Toronto, Canada; and Neoway out of Florianopolis, Brazil.…

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Serverless computing has become a compelling model for companies to add business value without their development teams having to worry about provisioning, managing and scaling infrastructure. The concept is that developers write code that performs business logic based on  some specific input data, and the platform handles the details of: Where to run it: Use some machine with available…

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