mecheryctl uses the current Kubernetes context (on local machine)…my machine might be underpowered to handle kubernetes as indicated by errors and thus cluster doesn’t start.
I followed this installation guide to install kubernetes. The errors at step 6 persist on my end with and without the flag. I gathered, it could be that my laptop system isn’t able to host kubernetes.
- Intel Core™ i3-6006U CPU @ 2.00GHz
Any workaround suggestions - for a lower powered machine to get a cluster running?
Otherwise I’ll be giving it a go with
Link to kubernetes installation guide: How to Install and Use Kubernetes on Ubuntu 20.04 • CloudSigma
I’ll try installing using minikube, mikrok8s, K3s as a possible solution to the current available memory…
Given k3s’s hardware requirements, your thought about its potential use seems like a worthwhile investigation.
Another option is using a remote cluster either self-installed on a free tier EC2 instance or managed service; e.g. GKE, Civo, Cast or similar.
Managed to install kubernetes locally with microk8s and succefully deployed meshery.
Hi @sandramsc one quick question which may help me resolve https://discuss.layer5.io/t/cluster-unreachable-in-cluster-install-of-meshery-on-kind/4191.
Have you done an in-cluster or out-of-cluster install of meshery ?
Is the cluster you installed meshery on reachable via the Meshery UI ?
The mikrok8s tutorial I followed didn’t specifically talk about in/out cluster deployment, you could consider going through it to see if it helps resolve your specific issue?