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golangcookbook.com | ||
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hjr265.me
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| | | | | I began the weekend writing a silly program: MGHSIAC. It's the elegant abbreviation of "My GitHub Status Is A Clock". It turns my GitHub status into a working clock. You can read more about it here. But as silly as it is, I am now committed to keep it running. I have an always-on Raspberry Pi with Portainer running on it already. If I could make a Docker image and host it on Docker Hub, I could easily pull it to that Raspberry Pi and have it continuously update my GitHub status with clock emojis and messages. | |
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philiplaine.com
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| | | | | It has been an issue for a long time to run Docker images on multiple architectures. I remember the first time I got the idea to install Docker on my Raspberry Pi and I realized quickly that what I was trying to do would not work. The issue of course was that I was trying to use an AMD64 compiled Docker image on a ARM 32 bit CPU. Anyone who works with any lower level languages would call me an idiot for realizing this sooner than later. I would agree with them. Docker just seems to work like magic, running on most machines without any issue, like running Linux containers on Windows. One thing that has not been easy though is building Docker images on one type of CPU and running them on another. | |
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paul.totterman.name
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| | | | | Like many other developers, I have to work with computers with different processor architectures. For me it's amd64 (x86_64) on the laptop and arm64 (aarch64) on the server. For some it may be the other way around. Fortunately I mostly write Go, which makes cross-compilation quite easy. Docker adds some extra steps, but is very nice for deploying software. | |
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nodogmablog.bryanhogan.net
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| | | Getting started with .NET and Kubernetes is far from easy. This post and subsequent will hopefully get you going with the basics by building and deploying a simple Web API application first as a single instance. In a later post, I will look at deploying multiple instances. | ||
