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blumeops/argocd/manifests/teslamate
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Erich Blume 6e8d11c6bb Add :kustomized sentinel tag to manifest images, review devpi 
Bare image references in manifests were ambiguous — unclear whether the
tag was intentionally omitted or managed by kustomize. Add :kustomized
sentinel to all 37 image refs overridden by kustomize images transformer.
Add sync notes for tailscale-operator proxyclass (CRD fields not processed
by kustomize). Mark devpi reviewed (6.19.1 is current).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 08:15:06 -08:00
..
deployment.yaml Add :kustomized sentinel tag to manifest images, review devpi 2026-03-06 08:15:06 -08:00
external-secret-db.yaml Switch all ExternalSecrets to creationPolicy: Owner 2026-01-28 20:27:16 -08:00
external-secret-encryption-key.yaml Switch all ExternalSecrets to creationPolicy: Owner 2026-01-28 20:27:16 -08:00
ingress-tailscale.yaml Deploy Frigate NVR stack with Mosquitto, Ntfy, and frigate-notify (#190) 2026-02-14 21:27:44 -08:00
kustomization.yaml Update teslamate to v3.0.0-eb9bc57 container image 2026-03-03 12:02:26 -08:00
README.md Doc review: connect-to-postgres, create-release-artifact-workflow, deploy-k8s-service (#191) 2026-02-15 07:42:01 -08:00
service.yaml Add TeslaMate deployment for Tesla Model Y data logging (#47) 2026-01-22 21:25:44 -08:00

README.md

TeslaMate

TeslaMate is a self-hosted Tesla data logger that collects and visualizes vehicle data.

Prerequisites

1. Create 1Password Secrets

Create two items in the blumeops 1Password vault:

  1. TeslaMate DB Password

    • Generate a secure password for the teslamate PostgreSQL user
    • Add a field named password with the generated value

  2. TeslaMate Encryption Key

    • Generate with: openssl rand -base64 32
    • Add a field named key with the generated value
    • This encrypts Tesla API tokens at rest in the database

2. Apply Kubernetes Secrets

# Create namespace
kubectl create namespace teslamate

# Apply database user secret (for CNPG)
op inject -i argocd/manifests/databases/secret-teslamate.yaml.tpl | kubectl apply -f -

# Apply teslamate secrets
op inject -i argocd/manifests/teslamate/secret-encryption-key.yaml.tpl | kubectl apply -f -
op inject -i argocd/manifests/teslamate/secret-db.yaml.tpl | kubectl apply -f -

3. Create Database

After the teslamate user exists in PostgreSQL (sync blumeops-pg first):

PGPASSWORD=$(op read "op://blumeops/postgres/password") \
  psql -h pg.ops.eblu.me -U eblume -c "CREATE DATABASE teslamate OWNER teslamate;"

Deployment

# Sync ArgoCD apps
argocd app sync apps
argocd app sync blumeops-pg teslamate grafana grafana-config

Tesla API Setup

  1. Access TeslaMate UI at https://tesla.tail8d86e.ts.net
  2. Click "Sign in with Tesla"
  3. Complete OAuth flow in browser
  4. Tokens are encrypted and stored in database
  5. Verify vehicle appears and data collection starts

Grafana Dashboards

TeslaMate dashboards are available in Grafana at https://grafana.tail8d86e.ts.net

They use the "TeslaMate" PostgreSQL datasource (not Prometheus).

Notes

  • MQTT is disabled (can be enabled later for Home Assistant integration)
  • Timezone is set to America/Los_Angeles
  • Encryption key protects Tesla API tokens at rest