You know the drill. We'll move into the directory with the vfarcic/k8s-specs (https://github.com/vfarcic/k8s-specs) repository, we'll pull the latest version of the code just in case I pushed something recently, and we'll create a new cluster unless you already have one at hand.
All the commands from this chapter are available in the 07-logging.sh (https://gist.github.com/vfarcic/74774240545e638b6cf0e01460894f34) Gist.
1 cd k8s-specs 2
3 git pull
This time, the requirements for the cluster changed. We need much more memory than before. The main culprit is ElasticSearch which is very resource hungry.
If you're using Docker for Desktop or minikube, you'll need to increase the memory dedicated to the cluster to 10 GB. If that's too much for your laptop, you might choose to read the Exploring Centralized Logging Through Elasticsearch...