James Read's Code, Containers & Cloud blog

So many interactions with friends, family and coworkers now happen via our chat apps, and so many of the best bits of these chats just scroll by and are forgotten. Faridoon is a simple app that lets you save and publish your favourite chat quotes for you to save, for your community, or for the world to see. I was inspired to write Faridoon a long time ago, when I was chatting with friends mostly on Mumble chat.

The bluey-grey color that you see in nearly all of my projects has the HTML color code #dee3e7. It came from the very first “real” web project I worked on when I was about 16 years old, and I knew nothing! That website has had so many versions over the years, but it’s first version was built with PHP4.3, XHTML 1.0/HTML4.01 and CSS2.1 - and it was a mess! But I loved it, it taught me so much about web development, and it was my gateway into the world of web programming.

In my very first job interview out of University, I was asked a question that I have never forgotten. The interviewer asked me “What skills do you think you have, that other people don’t?”. Context is important, I was 21, I’d never had a professional job in IT before, and I was applying for a job as a Systems Engineer. What came to mind quite quickly, was that I’ve been programming since I was about 11 or 12 years old, and it’s given me an appreciation for why software fails.

This post is written simply for myself to mark the date when I fully decided to ditch Ansible’s containers.podman.podman_containers, and Podman’s nasty port of docker-compose, in favour of Quadlet. Hopefully this page can serve as a useful reference for others considering the same move. Problems with containers.podman.podman_containers Ansible is great, but it’s a pain if you ssh on to a server, to find a container is down. You then have to jump on to another server to run the playbook to start the container.

I aggressively use Prometheus in my day-to-day life, not just for regular technical and application metrics, but for everything I can get an exporter for. I have a Prometheus exporter for my Gmail inbox (personal and work), for my Google calendar (mostly work), all my websites I’ve written export prometheus metrics, I monitor my servers CPU and Memory usage with Prometheus metrics, but also their Hard Drive SMART status. I even have a Prometheus exporter for my fledgling weight loss program.

Sometimes you need to write a HTML webpage that is based on some sort of data file, like YAML files. Rather than having a server-side script generate the HTML, you can generate the HTML page statically, making it easier to host and cache. I thought about writing a tool myself to do this, but thankfully, I found Gomplate. It is a powerful Go-based template renderer that allows you to generate dynamic content from various data sources, including YAML files.

This week was totally normal and routine for me, I’m sitting here on a Friday thinking that it’s been the same as many other weeks I’ve had in my life as a Tech Seller at Red Hat. Enjoyable, busy, varied, etc. However, I am noticing a change in how I go about my week - that change is that more and more of my colleagues are using AI. On the one hand this is fantastic, the democratisation of AI, led by services like ChatGPT mean that anyone without any technical background or grounding in the principles of AI doesn’t have to worry about HOW any of those services work, they use use them.

I’ve been working at Red Hat for for 13 years, so people will often come to me ask for guidance of where to get started with their Red Hat certification journey. So many people have heard of the RHCE - the Red Hat Certified Engineer exam, which remains one of the most respected IT certifications in the industry, let alone just Linux certifications. Many of these same people have years of Linux experience, but maybe haven’t taken a Red Hat certification before, or in a long time, and are looking for recommended next steps.

This is a blog post written as a summary of notes, following my learnings from an AI course I completed back in 2019 that I feel is still incredibly relevant in 2024]({{ rel ‘../how-useful-way-my-ai-short-course-from-2019/’ }}). AI is a huge field with an expansive history extending over the last century, it might be easy to be fooled into thinking thay AI was just something we found in the last 5 years. However, the recent surge of interest cannot be ignored - popularized by easy and cheap access to incredibly sophisticated models like ChatGPT.

In 2019 I could see that AI was a technology gaining increasing interest and relevance, and I was keen to get ahead of the hype and start learning more. At the time I was feeling like my day to day routine was getting a bit boring, and too familiar, and I wanted to make sure I had a solid grasp of what I thought would become a fundamental building block of technology for the future, and I decided to take a course on the topic of AI.