Cowabunga, Kubernetes enthusiasts! Welcome to our guide where we're going to dive into setting up a gnarly monitoring system for our Kubernetes environment, using Prometheus, Grafana, and MariaDB.

Introduction: Catching the Monitoring Wave Our mission is to keep our Kubernetes beach safe and sound. Monitoring is our digital lifeguard, always on the lookout.

Prometheus Pod: This is our central data collector, the eagle eye that keeps tabs on the health and performance of our Kubernetes waves.

Ride the Kubernetes Wave: Setting Up a Sandbox with k3s

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.

Installation Notes for CentOS / Ubuntu

Minimal Install, Dude!

To get started with Docker Swarm on CentOS or Ubuntu, we need to begin with a minimal install, ya know? So, fire up your favorite VM or bare metal server and do the following steps:

• Perform a minimal installation of your chosen OS. Keep it light, man!

• Once installed, update the system with the latest and greatest software packages using the command:

The Dawn of a New Era in Computing

The computing industry has witnessed several transformative shifts over the decades. The transition from command-line interfaces to the WIMP (windows, icons, menus, and pointers) era was one such shift, led by platforms such as Macintosh, Amiga, and Atari. These innovations changed the way we interact with computers, paving the way for more accessible and user-friendly systems.

In the spirit of both the Docker / Service auto tagging article and the Ansible automating OneAgent article lets dive a little into organizing both your Ansible, or Puppet in a later article to prepare for automatic tagging.

Here is an example of how organizing and naming conventions are important in Ansible as well. Ansible is a configuration management and automation tool that uses a declarative language to describe system configurations. It works by using "playbooks" written in YAML to define tasks that need to be executed on remote systems.

Yo, brah! So, we're diving into the rad world of Docker naming patterns and Dynatrace auto-tagging, dude. These patterns are all about organizing and managing your containers like a boss, making it a breeze to find what you need in Dynatrace, the ultimate wave-rider's tool.

Alright, let's talk naming patterns, man. We're all about using hyphens and underscores to separate the parts of the string, ya know? Picture this:

app-123_myservice.lab docker build -t app-123_myservice.lab

or..

Introduction:

Pet Project, still in early stages.

This rather clever yet simple bit of python can be added to almost any container 

Main code,

Introduction

Dynatrace OneAgent is an application performance monitoring (APM) solution that collects various types of data, including log files, from your system. In less common installation cases, such as AIX systems, you might want to configure log retention settings, customize installation paths, and adjust monitoring options like full-stack or infrastructure-only monitoring. This article will cover these customization options for Dynatrace OneAgent on AIX systems.

Configuring Log Retention

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.

Different Use Cases for Bash Expansion

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

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.

Selenium Bot:

 A collaboration with ChatGPT and myself this addresses a rather common need to have a simple load generation for a lab or development environment. Some concepts are still needing work. So this version assumes you've got a minmal desktop environment perhaps a VM Running CentOS 7.

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.

Asking it what it thought of a rough idea I'm sure many programmers have thought about, a custom mini Ansible.. 

This isn't even done, its workable but just an idea.. 

ME:

In this little post I'm going to take you through a somewhat rare topic, Open Telemetry and Dynatrace. As time allows I'll clean this up a bit more and add a collector container etc. For now its at a shareable and repeatable state.

For now the following playbook is uploaded to the target and adjusted for both the host and Dynatrace account. a prepatory network create in docker is also needed.

WIP:

For those checking out Dynatrace's monitoring solution 

After getting your SaaS tenant going you may want to spin up a few agents,

Detailed instructions here, Dynatrace Docs

One step I felt wasn't too clear at this point is here, inside your account under Deploy Dynatrace is the link to get the tar.gz file

Not to be too complex, but lets say you want to checkout OpenTSDB, Grafana, Docker, Ansible all in one sitting.

Preparation,

This snippet of prep.yaml needs more work but hits most of the prerequisites.

This often buggs the snot out of me because I don't regex enough and because of how many tools use regex differently.
Lots of write ups on find my remind us of things like -name "*.gz" -o -name "*.zip" but if your looking for a lot of matching paterns and don't feel like writing a 3 line long find command you might give the regex features a go..
Not all finds were created equal so first up pick your mode and to get a quick list try this. .

This may need various updates,

It was a good while ago, however it is likely a supported route even today. Not this does result in pauses to guests however its very brief, use of advanced storage like NetApp can make this a near real time activity.