Kubernetes, or k8s, is an important container orchestration platform. In this blog, I’ll describe creating a workable Kubernetes cluster implemented on a stack of four Raspberry Pi boards. In the end, I’ll have provided an outline of how I created it and I’ll show how to replicate a stateless app across Kubernetes pods running on the nodes — the Pi boards.
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Apple Silicon for Development
In June, Apple announced a two-year transition from Intel to Apple Silicon for the iMac and MacBook line. I knew Apple had lost their mind. But, before Christmas, I owned my very own chunk of Apple Silicon living in an attractive milled-aluminum case.
In this article, I’ll discuss the Apple M1 silicon-on-a-chip (SoC) used as a software development computer. I’ll cover installation, and I’ll also talk through running apps that support development on my M1.
Cook Your Own Modal with Styled Components
I created several JavaScript modal dialogs – I always extend a framework modal instead of scratch-coding my own. I thought I knew the things a framework needs to implement in order to present a modal but did I? There was only one way to find out: cook my own JS browser modal, and that is exactly what we’ll do in this post.
In this blog, I’ll cover a short approach to hand-coding your own modal with Styled Components. You can find the entire project on GitHub.
Q# Quantum Random Number Generator
In this blog we discuss basic concepts surrounding quantum qubits (quantum entanglement, superposition, and decoherence), relate superposition to the “Bloch Sphere,” obtain a random value by measuring a qubit in superposition, and present a Q# quantum number generator (QRNG) that generates random numbers to the console…
An Antlr4-Based Expression Parser
In this blog, we’ll present a simple arithmetic expression parser implemented through an Antlr4 parser generator. It will be able to take in an input string (such as 2+4+-4+-2*10%9*7) to produce the result (-12.0).
You may be thinking, “Great, but what’s the point?” Well, to answer your question, as simple as this example may seem, the principles involved actually extend to use cases such as DSLs, transpilation, and anything else expressible by grammar rules.
This post has two parts. In part 1, we’ll discuss the background components of a parser. In part 2, we’ll cover building the demo and running it. If you already understand grammar parsing, you could skip part one.