qmcgaw/blog repository overview

⁠Blog

Static blog using Hugo

⁠Automated CI/CD

The blog is hosted on my server as a Docker container.

Each push to the main branch on this repository triggers a Github Actions CI build which pushes a Docker image to Docker Hub to the qmcgaw/blog repository.

My server uses watchtower⁠ to automatically update the qmcgaw/blog⁠ Docker image associated container automatically.

⁠Build locally

You can build the Docker image locally with

docker build -t qmcgaw/blog .

⁠Run it

You can run it with the docker-compose.yml⁠ provided or with:

docker run -it --rm -p 8000:8000/tcp qmcgaw/blog

⁠Features

The Docker image is based on qmcgaw/srv⁠ which has several features⁠ such as Prometheus metrics.

The blog itself in this repository is just based on static Markdown/SVG/JPG files.

The Docker build takes care of trans-compiling them with Hugo.

⁠TODOs

• Like button counter
• Subscribe by email

⁠Posts

⁠Programming

• When Docker doesn't behave the same
  • No support for capabilities (old Kernel)
  • libseccomp2 and Alpine >= 3.13 on 32 bit, especially Raspbian
  • libcap and setcap with older Kernels
• Fastest thread safe uniformly distributed number generation
• Implementing DoH and DoT net.Resolver in Go
• Gluetun
• Rust development container
• Rust cross compilation for Docker
• Rust: glibc vs musl
  • See Reddit post⁠
• goshutdown
• xcputranslate sleep feature
  • avoid OOM
• Generated files:
  • generate them in the CI and commit them by the CI; or
  • generate them in the CI and fail if it does not match, leave the commit responsibility to the developer

⁠Not done yet™️

• Implementing DNSSEC in Go
• Cross compiling Rust for OSX and Windows
  • See this⁠
• go build using large amount of memory with large hardcoded values in Go files, solved by using embed
• Encapsulation of metrics interfaces in a Go program
• Gotree
• go.mod check for useless dependencies: write a Go linter for it⁠
• A Traefik-like firewall for Docker containers

⁠Not programming

• Comparison of humans and computers
  • Von Neumann architecture
  • Neuromorphic architecture
  • Caching / Training
  • Learn from past to anticipate future better
  • Are humans more stream oriented or more stateful? e.g. our past is an approximate memory and our future is a prediction based on logic and emotions
  • Human addictions when we get better (sports, gaming, even work): do machines have that too?
    • We enjoy being good at something, do machines do it as well?
  • Some like to learn new things, do machines have this?
  • How does AI gets closer to humans.
• Will we have more differentiation with time or not?
  • religions?
  • languages?
  • states?
  • more planets?
  • compared to previous history?
  • easier communication today than before
  • intra planet communication?
• Would we get bored of living forever?
  • We do repeat tasks most of our life already