kubernetes

Turing RK1 is 2x faster, 1.8x pricier than Pi 5

I've long been a fan of Pi clusters. It may be an irrational hobby, building tiny underpowered SBC clusters I can fit in my backpack, but it is a fun hobby.

Turing Pi 2 with four CM4

And a couple years ago, the 'cluster on a board' concept reached its pinnacle with the Turing Pi 2, which I tested using four Raspberry Pi Compute Module 4's.

Because Pi availability was nonexistent for a few years, many hardware companies started building their own substitutes—and Turing Pi was no exception. They started designing a new SoM (System on Module) compatible with their Turing Pi 2 board (which uses an Nvidia Jetson-compatible pinout), and the result is the RK1:

Turing RK1 SoM

Hosting this website on a farm - or anywhere

tl;dr: This website is currently being hosted off-grid, on a cluster of Raspberry Pis, via 4G LTE—or at some points through the same tunnel via WiFi if signal strength gets too low. Here's the GitHub repo for the project.

Note: The website was down for a few hours this morning, as shortly after this post I started getting a 40-50 Mbps flood of POST requests (over 6 million in a 30 minute time frame)... and yeah, no way the little Pi cluster could handle that. Thanks, Internet. It's back up through Cloudflare now, and I'll post more on this 'fun' experience later.

A couple weeks ago, after months of preparation, I took my 4-node Turing Pi 2 cluster (see my earlier review) to my cousin's farm, and ran this website (JeffGeerling.com) on it, live on the Internet—completely disconnected from grid power or hard-wired Internet.

Quick 'Hello World' HTTP deployment for testing K3s and Traefik

Recently I needed to test the full HTTP stack between a Kubernetes cluster's member nodes and an external Internet routing setup, and so I wanted to quickly install K3s (which includes Traefik by default, and load balances through ports 80 and 443 on all nodes), then get a quick 'hello world' web page up, so I could see if the traffic was routing properly all the way from the external host through to a running container exposed via Traefik Ingress.

Here's how I set up a basic 'Hello World' web page on my K3s cluster:

First, I created an HTML file to be stored as a ConfigMap. Create a file named index.html with the following contents:

<html>
<head>
  <title>Hello World!</title>
</head>
<body>Hello World!</body>
</html>

Create a ConfigMap with the HTML from the file you just created:

$ kubectl create configmap hello-world --from-file index.html

Save the following to Kubernetes resource definitions into a file named hello-world.yml:

Turing Pi 2: 4 Raspberry Pi nodes on a mini ITX board

Last year I spent a bit of time building a Kubernetes cluster with the original Turing Pi. It was fun, and interesting, but ultimately the performance of the Compute Module 3+ it was designed around led me to running my homelab off some newer Pi 4 model B computers, which are at least twice as fast for almost everything I run on them.

Turing Pi 2

So this year, I was excited when the folks at Turing Pi sent me a Turing Pi 2 to test drive. And the board arrived just in time for Patrick Kennedy from ServeTheHome to challenge me to a cluster build-off at Supercomputing '21! Check out his ARM cluster build here.

Kubesail's PiBox mini 2 - 16 TB of SSD storage on a Pi

Kubesail Raspberry PiBox mini 2 front side exposed

Many months ago, when I was first testing different SATA cards on the Raspberry Pi Compute Module 4, I started hearing from GitHub user PastuDan about his experiences testing a few different SATA interface chips on the CM4.

As it turns out, he was working on the design for the PiBox mini 2, a small two-drive NAS unit powered by a Compute Module 4 with 2 native SATA ports (providing data and power), 1 Gbps Ethernet, HDMI, USB 2, and a front-panel LCD for information display.

The Hardware

The PiBox mini 2 is powered by the Compute Module 4 on this interesting carrier board:

PiBox mini carrier board with Raspberry Pi Compute Module 4

Why build a Raspberry Pi Cluster?

Raspberry Pi Cluster next to a banana for scale

After I posted my Raspberry Pi Blade server video last week, lots of commenters asked what you'd do with a Pi cluster. Many asked out of curiosity, while others seemed to shudder at the very idea of a Pi cluster, because obviously a cheap PC would perform better... right?

Before we go any further, I'd say probably 90 percent of my readers shouldn't build a Pi cluster.

But some of you should. Why?

Well, the first thing I have to clear up is what a Pi cluster isn't.

Note: This blog post corresponds to my YouTube video of the same name: Why would you build a Raspberry Pi Cluster?. Go watch the video on YouTube if you'd rather watch the video instead of reading this post!

Ignore noisy logs with fluentd in EKS or other Kubernetes clusters

Recently, I decided to use the fluentd-kubernetes-daemonset project to easily ship all logs from an EKS Kubernetes cluster in Amazon to an Elasticsearch cluster operating elsewhere.

The initial configuration worked great out of the box—just fill in details like the FLUENT_ELASTICSEARCH_HOST and any authentication info, and then deploy the RBAC rules and DaemonSet into your cluster, and you're off to the races (assuming your Elasticsearch instance is configured to allow access from the cluster!).

But once I did that, I noticed the brand new EKS cluster was sending over 16,000 log messages per second to Elasticsearch. Doing a tiny bit of analysis (not much was required, honestly), I found that over 98% of the logs were coming from two EKS-specific noisy containers, efs-csi-node and ebs-snapshot-controller.

Kubernetes 101 livestream series starts Nov 18th!

On November 18th, at 11 a.m., the first episode of my upcoming Kubernetes 101 livestream series will start on my YouTube channel.

Kubernetes 101 Series Artwork

The first episode will be available here on YouTube: Kubernetes 101 - Episode 1 - Hello, Kubernetes!.

You can find more details about the series on my Kubernetes 101 site, and there is also an open-source Kubernetes 101 GitHub repository which will contain all the code examples for the series.

In the spring, I presented a similar livestream series, Ansible 101, covering all the basics of Ansible and setting people up for success in infrastructure automation.

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