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InfluxDB
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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To demonstrate the full pipeline, I am using a web application called DevOps Toolkit, originally developed by (and forked from) our friend Viktor Farcic. You can find the Git repo here.
GKE_SA_KEY: The service account used for the project with the Base64 encoded JSON service account key. More info available here
jobs: setup-build-publish-deploy: name: Setup, Build, Publish, and Deploy runs-on: ubuntu-latest steps: - name: ACTIONS_ALLOW_UNSECURE_COMMANDS id: ACTIONS_ALLOW_UNSECURE_COMMANDS run: echo 'ACTIONS_ALLOW_UNSECURE_COMMANDS=true' >> $GITHUB_ENV - name: Checkout uses: actions/checkout@v2 # Setup gcloud CLI - uses: GoogleCloudPlatform/github-actions/[email protected] with: service_account_key: ${{ secrets.GKE_SA_KEY }} project_id: ${{ secrets.GKE_PROJECT }} # Configure Docker to use the gcloud command-line tool as a credential # helper for authentication - run: |- gcloud --quiet auth configure-docker # Install Hugo - run: |- wget https://github.com/gohugoio/hugo/releases/download/v0.55.4/hugo_0.55.4_Linux-64bit.deb sudo dpkg -i hugo_0.55.4_Linux-64bit.deb # Build Hugo and Docker image - name: Build run: |- make build docker build \ --tag "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA" \ --build-arg GITHUB_SHA="$GITHUB_SHA" \ --build-arg GITHUB_REF="$GITHUB_REF" \