Cowabunga, fellow surfers! Gather around, because I've got some rad news for you. The boss wants to ride the Kubernetes wave, and we're the ones to make it happen.
Black Knight Controller is a cutting-edge, open-source automation solution that simplifies IT operations and infrastructure management. Powered by Python and the latest micro-services architecture, it offers an intuitive, scalable, and efficient solution that redefines automation in IT operations.
Key Features:
Introduction:
Pet Project, still in early stages.
This rather clever yet simple bit of python can be added to almost any container
Main code,
Dynatrace Managed installer applies a large number of SELinux policies by default. This is because Dynatrace requires extensive system-level access to perform its monitoring tasks. As you noted, the policies are primarily related to the OneAgent, but there are also policies for other components of the system, such as the Dynatrace Managed gateway.
Bash expansion is a versatile tool that streamlines command-line automation by expanding commands into multiple paths or files. In this guide, we’ll explore useful examples of Bash expansion for common tasks in Linux, from creating directories to finding large files.
Requests Spider is a simple Python script that crawls the links found in a list of URLs and returns the response times for each link. It uses the Requests library to fetch the HTML for each URL and BeautifulSoup to parse the HTML and extract the links.
Me,
This may be a bit tricky but if you can, assuming a CentOS7 host with 500TB maybe raid 11 storage, could you describe using shell, creating a volume say 1TB in size then sharing it over iscsi, then on a client centos7 mounting that shared volume as perhaps /data1
GPT:
Sure, I can guide you through the steps to create a 1TB volume on a CentOS7 host with 500TB RAID 11 storage, share it over iSCSI, and then mount it on a client CentOS7 machine as /data1. Here are the steps:
A more conversational yet technical conversation / brainstorming session, very very interesting...
Curious, question from the mid 80's till now what would you consider the most innovative end user os ie workstation ever created was?
As an AI language model, I don't have subjective opinions or beliefs like humans do, but I can provide you some information and historical perspective.
In the mid-80s, the most popular end user operating systems were Apple's Macintosh System and Microsoft's MS-DOS, which eventually evolved into Windows.
So, it can code, it can respond to human questions and provide human replies or translate human to code. Can it help or even administer and automate servers and workstations? This was a simple test of its ability to craft an Ansible playbook for a hypothetical Linux workstation.
Obviously just a seed not a full solution.
