Introduction Most people familiar with the Kubernetes scheduler algorithm are aware of the basic mathematical concepts around its logic. Anyone who has also pursued an interest in learning about it at a low level is aware of its relation to…
Posts Categorized: Kubernetes
Introduction Recently I was asked once again to build out Kubernetes cluster infrastructure, and deploy and configure supporting software, and then migrate a client’s QA environment and applications to the cluster. This was all to be completed in a week…
IT has arrived as an essential expenditure to producing revenue for an organization. Almost everything is a software expenditure. We buy hardware to run applications that run our businesses. We invest in the cloud as an alternative to run applications…
NewSci’s “Call Simulator™” platform provides AI-powered speech-to-speech call simulations to decrease the cost of training call center agents and increase their effectiveness and retention. From E911 to telemedicine, Call Simulator™ brings the realism necessary to properly train agents to perform their jobs at a high level on day-one of being on live-calls.
We launched a podcast! In our first episode, listen to Shadow-Soft’s James Hendrix and Derrick Sutherland discuss Kubernetes.
Given the large increase in telework demands as well as online services due to COVID-19, organizations are finding themselves more taxed than ever regarding infrastructure and technology to maintain operability.
Red Hat Advanced Cluster Management for Kubernetes (RHACM) provides a unified, centrally managed solution for customers with Kubernetes deployed across multiple environments.
This guide focuses on you, the IT operator, presenting Shadow-Soft’s point of view on the topic of Kubernetes. Throughout the guide, you’ll learn more about why the business wants Kubernetes, why IT operations wants Kubernetes, and why Red Hat OpenShift is the enterprise-ready solution many IT operations teams are recommending to their organizations.
Jenkins Pipeline is the industry standard for developing pipelines to automate workflows, integrations, and deployments. In this article, we will explore an end-to-end pipeline that begins with building a Docker image for an application, and ends with deploying it to a Kubernetes cluster.
Kubernetes is the container orchestration platform that has gained the most traction for deploying and managing containerized applications; however, managing these clusters is anything but a trivial task. To mitigate this many cloud providers such as Google’s GKE provide tooling in order to abstract cluster operations such as provisioning, scaling and upgrading. This is all well and good if on-premise/hybrid solutions are not in play.