Kubernetes Setup With WSL Control Plane and Raspberry Pi Workers

• plugins

  11 2,061 7.9 Go

  Some reference and example networking plugins, maintained by the CNI team. (by containernetworking)

  

containernetworking-plugins will install the Container Network Interface plugins which are required by kubernetes networking solutions to operate. Now the bundled containerd config doesn't quite work well with what kubernetes requires so we'll make changes to it:

• flannel

  13 8,487 9.0 Go

  flannel is a network fabric for containers, designed for Kubernetes

  

--pod-network=10.244.0.0/16: This is the default CIDR for flannel, and also avoids a conflict with my internal network if calico is used (which is the plan)

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• containerd

  125 16,292 9.9 Go

  An open and reliable container runtime

  

containerd is required by kubernetes to handle containers on its behalf. A big thanks to the HostAfrica blog for the information on setting containerd up for debain. So the containerd install will need to happen on both the WSL2 instance and the Raspberry Pis. For WSL2 you can just install containerd directly:

• cni-plugin

  1 429 0.0

  Calico CNI plugin

  

curl -L -o /opt/cni/bin/calico https://github.com/projectcalico/cni-plugin/releases/download/v3.20.6/calico-amd64 chmod 755 /opt/cni/bin/calico curl -L -o /opt/cni/bin/calico-ipam https://github.com/projectcalico/cni-plugin/releases/download/v3.20.6/calico-ipam-amd64 chmod 755 /opt/cni/bin/calico-ipam

• calico

  17 5,484 9.9 Go

  Cloud native networking and network security

  

wget -O calicoctl https://github.com/projectcalico/calico/releases/latest/download/calicoctl-linux-amd64 chmod +x calicoctl sudo mv calicoctl /usr/local/bin/

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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