Operations | Monitoring | ITSM | DevOps | Cloud

April 2020

Scaling OpenShift Container Resources using Ansible

Assume you have a process to determine the optimal settings for CPU and memory for each container running in your environment. Since we know resource demand is continuously changing, let’s also assume these settings are being produced periodically by this process. How can you configure Ansible to implement these settings each time you run the associated playbook for the container in question?

Understanding & Leveraging AWS Auto Scaling Groups

An AWS Auto Scaling group (ASG) is a fleet of EC2 instances that can scale up or down depending on application demand. The elasticity of Auto Scaling groups makes them highly-attractive options for enterprises who do not want to invest in purchasing expensive hardware only to respond to sudden or temporary spikes in application demand.

How to Deploy OKD Minishift onto a Publicly-Hosted VM

If you are familiar with minikube, a lightweight implementation of the Kubernetes ecosystem, then you may have also heard of Minishift. Designed as a development platform and delivered through a utility, this is the Red Hat OKD (Origin Kubernetes Distribution—formerly called OpenShift Origin) all-in-one implementation of Red Hat OpenShift. Being highly versatile, it can be deployed on varying platforms.

Continuously Optimize Your AWS Resources with CloudFormation

If you have discovered that your application demand changes over time, you’re probably wondering how you can continuously adjust your cloud capacity in accordance to application demand. If you use CloudFormation, then you’re in luck! This article walks through how you can update your template code to automatically implement infrastructure adjustments, periodically.