The 5 most important considerations in going to “the cloud” explained. The fifth part of our series deals with the topic of Cost.
The 5 most important considerations in going to “the cloud” explained. The fourth part of our series deals with the topic of Choice.
The 5 most important considerations in going to “the cloud” explained. The third part of our series deals with the topic of Compliance.
The 5 most important considerations in going to “the cloud” explained. The second part of our series deals with the topic of Control.
The 5 most important considerations in going to “the cloud” explained. The first part of our series deals with the topic of Convenience.
If you are running Windows Server in the cloud, which you want to access via remote desktop (RDP) there are some basic security rules you need to follow. This is necessary, first and foremost because exposing RDP to the internet is “low hanging fruit” for hackers. We highly recommend taking the following ten steps.
Without the cloud it is very difficult to store and share the huge volumes of data needed for genome sequencing. Given the sensitivity of human genome data in terms of ownership and privacy, security and compliance are paramount.
In this post, I will show you how to make your application data persist by adding a persistent volume claim to an already deployed pod/container.
In this article I demonstrate how to set up an autoscaler to scale up the pods when the CPU usage exceeds a certain threshold and back down again.
JupyterLab is the most widely used data science / machine learning IDE. Deploying it on OpenShift / Kubernetes adds another layer of flexibility in terms of convenience, resource allocation and horizontal scaling across user groups.