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Agile IT Operations, Cloud and DevOps


Why Machine Learning models should run in Containers

Machine Learning (ML) is being implemented to varying extents in businesses all over. However, seamlessly integrating ML workflows into existing infrastructure can be somewhat challenging. This is the first article in a series on DevOps for Machine Learning - how to automate the ML process. In this chapter we will explore the benefits of running ML models as microservices and with what tools.
Written by Mia Ryan

Why code your infrastructure?

One of the more popular buzz terms in infrastructure and cloud discussions these days is "Infrastructure as code". But what is that exactly? How can infrastructure - previously supposed to consist of cabling, metal chassises and computer hardware - suddenly be lines of code? This article will assume that you are new to this field and will try to explain it from that point of view.
Written by Yngve Sandal