# Grafana alerting provisioning — alert rules
# Covers: runner down, high task failure rate, audio error spike, backend error spike.
apiVersion: 1

groups:
  - orgId: 1
    name: LibNovel Runner
    folder: LibNovel
    interval: 1m
    rules:

      - uid: runner-down
        title: Runner Down
        condition: C
        for: 2m
        annotations:
          summary: "LibNovel runner is not reachable"
          description: "The Prometheus scrape of runner:9091 has been failing for >2 minutes. Tasks are not being processed."
        labels:
          severity: critical
          service: runner
        data:
          - refId: A
            datasourceUid: prometheus
            relativeTimeRange: { from: 300, to: 0 }
            model:
              expr: "up{job=\"libnovel-runner\"}"
              instant: true
              intervalMs: 1000
              maxDataPoints: 43200
          - refId: C
            datasourceUid: __expr__
            relativeTimeRange: { from: 300, to: 0 }
            model:
              type: classic_conditions
              conditions:
                - evaluator: { params: [1], type: lt }
                  operator: { type: and }
                  query: { params: [A] }
                  reducer: { params: [], type: last }

      - uid: runner-high-failure-rate
        title: Runner High Task Failure Rate
        condition: C
        for: 5m
        annotations:
          summary: "Runner task failure rate is above 20%"
          description: "More than 20% of runner tasks have been failing for the last 5 minutes. Check runner logs."
        labels:
          severity: warning
          service: runner
        data:
          - refId: A
            datasourceUid: prometheus
            relativeTimeRange: { from: 600, to: 0 }
            model:
              expr: "rate(libnovel_runner_tasks_failed_total[5m]) / clamp_min(rate(libnovel_runner_tasks_completed_total[5m]) + rate(libnovel_runner_tasks_failed_total[5m]), 0.001)"
              instant: true
              intervalMs: 1000
              maxDataPoints: 43200
          - refId: C
            datasourceUid: __expr__
            relativeTimeRange: { from: 600, to: 0 }
            model:
              type: classic_conditions
              conditions:
                - evaluator: { params: [0.2], type: gt }
                  operator: { type: and }
                  query: { params: [A] }
                  reducer: { params: [], type: last }

      - uid: runner-tasks-stalled
        title: Runner Tasks Stalled
        condition: C
        for: 10m
        annotations:
          summary: "Runner has tasks running for >10 minutes with no completions"
          description: "tasks_running > 0 but rate(tasks_completed) is 0. Tasks may be stuck or the runner is in a crash loop."
        labels:
          severity: warning
          service: runner
        data:
          - refId: Running
            datasourceUid: prometheus
            relativeTimeRange: { from: 900, to: 0 }
            model:
              expr: "libnovel_runner_tasks_running"
              instant: true
              intervalMs: 1000
              maxDataPoints: 43200
          - refId: Rate
            datasourceUid: prometheus
            relativeTimeRange: { from: 900, to: 0 }
            model:
              expr: "rate(libnovel_runner_tasks_completed_total[10m])"
              instant: true
              intervalMs: 1000
              maxDataPoints: 43200
          - refId: C
            datasourceUid: __expr__
            relativeTimeRange: { from: 900, to: 0 }
            model:
              type: classic_conditions
              conditions:
                - evaluator: { params: [0], type: gt }
                  operator: { type: and }
                  query: { params: [Running] }
                  reducer: { params: [], type: last }
                - evaluator: { params: [0.001], type: lt }
                  operator: { type: and }
                  query: { params: [Rate] }
                  reducer: { params: [], type: last }

  - orgId: 1
    name: LibNovel Backend
    folder: LibNovel
    interval: 1m
    rules:

      - uid: backend-high-error-rate
        title: Backend High Error Rate
        condition: C
        for: 5m
        annotations:
          summary: "Backend API error rate above 5%"
          description: "More than 5% of backend HTTP requests are returning 5xx status codes (as seen from UI OTel instrumentation)."
        labels:
          severity: warning
          service: backend
        data:
          - refId: A
            datasourceUid: prometheus
            relativeTimeRange: { from: 600, to: 0 }
            model:
              expr: "sum(rate(http_client_request_duration_seconds_count{job=\"ui\", server_address=\"backend\", http_response_status_code=~\"5..\"}[5m])) / clamp_min(sum(rate(http_client_request_duration_seconds_count{job=\"ui\", server_address=\"backend\"}[5m])), 0.001)"
              instant: true
              intervalMs: 1000
              maxDataPoints: 43200
          - refId: C
            datasourceUid: __expr__
            relativeTimeRange: { from: 600, to: 0 }
            model:
              type: classic_conditions
              conditions:
                - evaluator: { params: [0.05], type: gt }
                  operator: { type: and }
                  query: { params: [A] }
                  reducer: { params: [], type: last }

      - uid: backend-high-p95-latency
        title: Backend High p95 Latency
        condition: C
        for: 5m
        annotations:
          summary: "Backend p95 latency above 2s"
          description: "95th percentile latency of backend spans has exceeded 2 seconds for >5 minutes."
        labels:
          severity: warning
          service: backend
        data:
          - refId: A
            datasourceUid: prometheus
            relativeTimeRange: { from: 600, to: 0 }
            model:
              expr: "histogram_quantile(0.95, sum(rate(traces_spanmetrics_latency_bucket{service=\"backend\"}[5m])) by (le))"
              instant: true
              intervalMs: 1000
              maxDataPoints: 43200
          - refId: C
            datasourceUid: __expr__
            relativeTimeRange: { from: 600, to: 0 }
            model:
              type: classic_conditions
              conditions:
                - evaluator: { params: [2], type: gt }
                  operator: { type: and }
                  query: { params: [A] }
                  reducer: { params: [], type: last }

  - orgId: 1
    name: LibNovel OTel Pipeline
    folder: LibNovel
    interval: 2m
    rules:

      - uid: otel-collector-down
        title: OTel Collector Down
        condition: C
        for: 3m
        annotations:
          summary: "OTel collector is not reachable"
          description: "Prometheus cannot scrape otel-collector:8888. Traces and logs may be dropping."
        labels:
          severity: warning
          service: otel-collector
        data:
          - refId: A
            datasourceUid: prometheus
            relativeTimeRange: { from: 600, to: 0 }
            model:
              expr: "up{job=\"otel-collector\"}"
              instant: true
              intervalMs: 1000
              maxDataPoints: 43200
          - refId: C
            datasourceUid: __expr__
            relativeTimeRange: { from: 600, to: 0 }
            model:
              type: classic_conditions
              conditions:
                - evaluator: { params: [1], type: lt }
                  operator: { type: and }
                  query: { params: [A] }
                  reducer: { params: [], type: last }