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Bump tools to be compatible with latest grafana charts (#1006)
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.tool-versions

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golang 1.21.9
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nodejs 18.20.3
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k3d 5.5.1
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k3d 5.6.3
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act 0.2.52
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golangci-lint 1.57.2
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actionlint 1.6.26
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shellcheck 0.9.0
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helm 3.13.1
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helm 3.15.2
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kubectl 1.25.5
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yarn 1.22.19
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python 3.9.13

lib/Makefile

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helm repo add grafana https://grafana.github.io/helm-charts
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helm repo update
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kubectl create namespace monitoring || true
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helm upgrade --wait --namespace monitoring --install loki grafana/loki-stack --set grafana.enabled=true,prometheus.enabled=true,prometheus.alertmanager.persistentVolume.enabled=false,prometheus.server.persistentVolume.enabled=false,loki.persistence.enabled=false --values k8s/grafana/values.yml
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helm upgrade --wait --namespace monitoring --install loki grafana/loki-stack --version 2.10.2 --set grafana.enabled=true,prometheus.enabled=true,prometheus.alertmanager.persistentVolume.enabled=false,prometheus.server.persistentVolume.enabled=false,loki.persistence.enabled=false --values k8s/grafana/values.yml
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kubectl port-forward --namespace monitoring service/loki-grafana 3000:80
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.PHONY: uninstall_monitoring

lib/k8s/KUBERNETES.md

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or from source [here](https://github.com/smartcontractkit/helmenv)
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3. Setup your docker resources, 6vCPU/10Gb RAM are enough for most CL related tasks
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4. `make create_cluster`
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5. `make install_monitoring`
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5. `make install_monitoring` Note: this will be actively connected to the server, the final log when it is ready is`Forwarding from [::1]:3000 -> 3000` and you can continue with the steps below in another terminal.
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6. Check your contexts with `kubectl config get-contexts`
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7. Switch context `kubectl config use-context k3d-local`
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8. Read [here](README.md) and do some deployments

lib/k8s/k3d.yaml

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apiVersion: k3d.io/v1alpha4
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apiVersion: k3d.io/v1alpha5
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kind: Simple
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volumes:
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- volume: /tmp/k3dvolume:/tmp/k3dvolume

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