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Articles by Christopher Shoe
Enhance Visibility & Accuracy for Container Vulnerability Management
Earlier this year, I was at a large industry event and ended up speaking with a devops lead at a software company related to the social media space. The company, which has both a thriving B2C business and B2B business, leverages containers for most of their internal and external applications. The engineer I was talking to works with dozens of developers on individual application teams to make sure their modern web and mobile applications are built and deployed successfully.
How Serverless Changes the Security Paradigm
Serverless architectures are quickly becoming a major technology within the DevOps ecosystem. Every major cloud provider offers a serverless platform. Some are even expanding their serverless repertoire, with AWS adding Glue and Sagemaker, which provide serverless environments tailored to specific workloads. This is for good reason.
Security: What Enterprise Architects Need to Know Today
Enterprise architects walk the tightrope between tradition and innovation. On the one hand, they have aging technology that still powers the business, and on the other hand they realize the technological advancement that needs to permeate the enterprise applications they oversee. The world inside their enterprise seems disconnected from the world outside where innovation is all around.
Options for Deploying Machine Learning Algorithms to AWS
AWS is a great place for accessing scalable, cheap resources on which to deploy data models. However, actually using AWS for this purpose can be challenging. If you didn't begin your project on AWS, you have to figure out a way to migrate it there.
How to Deploy Machine Learning Models to a .NET Environment
Python and R are among the most popular programming languages for data-centric engineers. However, they are not always the languages that the rest of an application is built on. This is why you sometimes need to find a way to deploy machine-learning models written in Python or R into an environment based on a language such as .NET. In this article, I show how to use Web APIs to integrate machine learning models into applications written in .NET.
How to Get Hadoop Data into a Python Model
Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets. All the modules in Hadoop are designed with an assumption that hardware failures should be automatically handled by the framework. The core of Apache Hadoop is a storage component, known as Hadoop Distributed File System (HDFS), and a processing component called MapReduce. Hadoop splits files into large blocks so that they can then be distributed across nodes in a cluster.
Using TensorFlow for Predictive Analytics with Linear Regression
Since its release in 2015 by the Google Brain team, TensorFlow has been a driving force in conversations centered on artificial intelligence, machine learning, and predictive analytics. With its flexible architecture, TensorFlow provides numerical computation capacity with incredible parallelism that is appealing to both small and large businesses.
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