Four Principles for Building a Culture of Automation

This article was originally posted on enterpriseai.news.

It’s estimated that 75 percent of an IT professional’s time is spent “keeping the lights on” with the remaining 25 percent focused on innovation that moves their businesses forward. Everyone should want to flip those percentages. After all, both executives and developers want the same thing: to drive innovation that helps improve the bottom line.

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What is Machine Learning?

Machine Learning is a tool that is quickly becoming more and more available to enterprises. Although this new tool is very powerful, it is still often not well understood. This blog post intends to demystify the concepts around Machine Learning, define much of the vernacular common to the practice, and inform how Red Hat teams can help today. This post extends the information provided in our whiteboarding video.

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Containers: The Future (and Present) of Application Development

In recent years, application development has started to focus on a new concept: containers. No, these aren’t shipping containers, however, most people working in a tech field have heard the term ‘container’ come up in some technical design meeting or discussing ‘the future of technology.’ It has quickly become a buzzword and an important concept,  but what actually is a container? What is all the excitement about? Why should we care?

 

Check out our YouTube video: Container fundamentals, security and usage in the enterprise.

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Perform remote caches with JBoss Fuse and Red Hat Data Grid

INTRODUCTION

Nowadays, the reality of companies demands even more integration between different technologies, working together, changing and processing data. In this ecosystem, the use of an integration platform is essential. Still, the use of an in-memory database is necessary for a significant gain in information processing performance. In this article, we will demonstrate the use of JBoss Fuse integration platform, in conjunction with the In-memory database named Red Hat Data Grid.

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You’ve got Virtual Machines in my Container Platform!: An argument for running VM’s in Kubernetes

This post was originally published on https://dev.to/tylerauerbeck.

Traditionally there have been very clear battle lines drawn for application and infrastructure deployment. When you need to run a Virtual Machine, you run it on your virtualization platform (Openstack, VMWare, etc.) and when you need to run a container workload, you run it on your container platform (Kubernetes). But when you’re deploying your application, do you really care where it runs? Or do you just care that it runs somewhere?

This is where I entered this discussion and I quickly realized that in most cases, I really didn’t care. What I knew was that I needed to have the things I required to build my application or run my training. I also knew that if I could avoid having to manage multiple sets of automation — that would be an even bigger benefit. So if I could have both running within a single platform, I was absolutely on board to give it a shot.

Continue reading “You’ve got Virtual Machines in my Container Platform!: An argument for running VM’s in Kubernetes”

Troubleshooting the Performance of a Vert.x Application

Securing Website: TLS/SSL, Certificate Authority, Self-Signed Certificate, and Open source tools