Craig Gehrig

Craig Gehrig

Craig Gehrig is a systems administrator with Rainbow Resource Center, an online retailer of educational materials in Peoria, IL. He is also the founder of Vanova IT, a security research and IT solutions provider. In his spare time, he can be found on the golf course and spending time with his wife Vanessa and their two children- Sasha and Craig.

AWS Releases The Open Source Library AutoGluon For AI Development

Amazon recently released AutoGlun, the open source toolkit for automated machine learning. Developing machine learning applications can be very involved with essential multiple layers as a requirement. For example, developers must define the parameters for choices in construction of the AI model and spend considerable amounts of time with data set pre-processing. They also need to consider finding the best architecture design for their AI models. AWS has a considerable amount of tools to develop AI applications.  

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A Multi-CDN Strategy

Implementing a multi-CDN is spreading a site’s content across multiple CDN providers. Once upon a time this was a strategy that was typically only found at larger enterprises. However, a multi-CDN strategy is now common among businesses of all sizes. Multiple CDNs provide the obvious benefit of delivering content beyond a single point of failure. So, what’s the best approach to building resiliency into your content streams? In this article I’ll cover some common multi-CDN options.

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Automakers Are Accelerating With Cloud Providers For IoT

As companies transition to the cloud, those that require Internet of Things (IoT) are turning to the major cloud providers AWS, Google and Microsoft. The automotive industry has traditionally been slower to adapt to new technologies for various reasons. Some of the biggest reasons have been scale, regulations and costs. However, the automotive industry as a whole is well suited to the architecture of the public cloud. The strength of the major public cloud providers is being able to collect and process data from various sources.

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