macOS 🍏

As I am coming to the end of writing the second edition of Lean Ansible (more news on that coming soon), I thought now would be a great time to have a look at what exciting developments have been happening in the six months now that I have a little more free time. One of the things I have been keeping an eye on is the state of Large Language Models (LLM for short), especially since the introduction of open-source models such as Llama from Meta↗ and Mistral 7B↗ , which you can run locally. ...

Although it’s been some time since I’ve worked with containers on my local machine, I recently found myself intrigued to discover what’s new with Podman. Setting Up Podman To kick things off, we’ll need to get Podman installed. As my development environment is running on a Mac M2, I’m going to employ Homebrew for this purpose: Install Podman $ brew install podman podman-compose podman-desktop In addition to Podman itself, I’ve also chosen to install Podman Compose and Podman Desktop. The former serves as a fitting replacement for Docker Compose, allowing for the definition and orchestration of multi-container applications within the Podman environment. On the other hand, Podman Desktop is a handy GUI for Podman that substitutes Docker Desktop. ...

Following on from upgrading my Macs to all M1-based ones, I get around to finally needing to use Ansible; typically, I would install Python using PyEnv and then run the following … It should just work?!?! pip install --user ansible pip install --user -r https://github.com/ansible-collections/azure/blob/dev/requirements-azure.txt ansible-galaxy collection install azure.azcollection … and away we go, but this time I came across a few problems. The first was the following error when installing the requirements using the remote requirements-azure.txt file: ...

Probably a little late to the party with this one, but I have recently upgraded to an M1 Pro MacBook Pro, for the most part, the problems with moving to arm64 are not as bad as I thought - most are annoying little things. However, the biggest one came when I decided to take a serious look at Bicep. After installing the Bicep VSCode extension ↗ and opening a test Bicep file, I was greeted with the following message … ...

This week was not only the release of macOS Monterey, but it was also new Mac Book Pro week for a lot of people, including myself. Given that it was alot of effot to install Python on macOS Big Sur I was a little worried that it would take the same amount of effort. As I was starting a with a clean macOS Monterey installation and had already installed Homebew↗ I just needed to run the following command to install pyenv↗ : ...

Last weekend I posted about Docker Desktop Alternatives for macOS, and it looks like I missed one as the week before Podman↗ release version v3.3.0↗ which introduced support for macOS by allowing you to launch a Podman managed virtual machine. So, What is Podman? Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System. Containers can either be run as root or in rootless mode. ...

After the news earlier this week that Docker will be introducing charges to the Docker Subscription Service Agreement, as detailed in the Tweet below: We're updating and extending our product subscriptions! New subscription tiers include Personal, Pro, Team, and Business. Details here: https://t.co/pyDetDKGjC #Docker #Subscriptions pic.twitter.com/Or8l6YoIUO — Docker: Build 39X Faster (@Docker) August 31, 2021 I started to think about looking at alternatives, while I use Docker Desktop I did not use it enough to warrant looking at one of the new subscriptions. There are two main reasons to run Docker Desktop ...

When Apple releases a new version of macOS it always takes a few months for everything to catchup, following my last blog post where I mentioned that I was having problems installing Python on macOS Big Sur↗ which meant that my preferred method of installing and managing Python using pyenv, which is documented in this blog post↗ , didn’t work out of the box — and the workarounds suggested workarounds on GitHub made my shell really slow. ...