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A collection of 7 posts

Creating a multi-arch K8 cluster - Part 5 - Add a x86-Node

Creating a multi-arch K8 cluster - Part 5 - Add a x86-Node

Adding a x86/AMD64 node to the cluster is similar to the steps described in part 2 [https://blog.goeri.de/k8-cluster-part-2/] and part 3 [https://blog.goeri.de/k8-cluster-part-3] of this guide. This part will add a few details you should pay attention on. At first a bootable installation

Creating a multi-arch K8 cluster - Part 4 - Setup a load-balancer and NFS

Creating a multi-arch K8 cluster - Part 4 - Setup a load-balancer and NFS

After part 3 of this blog series we have a fully working Kubernetes cluster. Load-Balancer It has one major drawback: All exposed ports of running pods/services are only reachable under the specific worker node IP address. In a real cluster a load-balancer would handle all incoming traffic and route

Creating a multi-arch K8 cluster - Part 3 - Install Docker and Kubernetes

Creating a multi-arch K8 cluster - Part 3 - Install Docker and Kubernetes

The following steps have to be done on all Raspberry Pi's in the cluster! Prepare Docker installation Enable the linux kernel control groups (cgroups) for Docker and Kubernetes. These cgroups [https://en.wikipedia.org/wiki/Cgroups]are responsible for isolation and limiting of resources like CPU and memory. Therefor it's

Creating a multi-arch K8 cluster - Part 2 - Installing the OS

Creating a multi-arch K8 cluster - Part 2 - Installing the OS

One goal was to use Kubernetes on 64-bit because this architecture is widely supported with a growing number of docker images while arm32v6/v7 is silently dying. Only a 64-bit OS can take full advantage of the 4 GB memory of an Raspberry PI 4. With the hardware that was

Creating a multi-arch K8 cluster - Part 1 - The hardware setup

Creating a multi-arch K8 cluster - Part 1 - The hardware setup

Motivation: My initial motivation was to learn more about Kubernetes. When my little home server (a Zotac CI 327) had an outage caused by a SSD failure I started thinking of moving from simple Docker to Kubernetes and building a complete failover and load-balancing cluster. I took this as a

How to: Install and remote debug a java application in Docker with IDEA IntelliJ

IDEA IntelliJ has a plugin for docker integration which supports docker container creation, configuration and deployment. This article will guide you how to use the docker integration plugin and remote debug a simple java application running in a docker container. What is used: IDEA IntelliJ 15.0.1, Docker 1.

Quick - how to: Remote access your docker machine (Debian example)

If you’ve installed docker on a Debian linux machine following the guide [https://docs.docker.com/engine/installation/debian/] on docker.com [https://docker.com], you are able to control your containers only if you SSH into this machine or open some kind of tunnel (e.g. Putty) or