mirror of
https://github.com/Memo-2023/mana-monorepo.git
synced 2026-05-14 18:01:09 +02:00
402baf7c7f
- scripts/check-status.sh: parallel HTTP check aller mana.how Domains aus cloudflared-config.yml - docker/blackbox/blackbox.yml: Blackbox Exporter Config (http_2xx, http_health Module) - docker-compose.macmini.yml: blackbox-exporter Container (Port 9115, 32MB RAM) - docker/prometheus/prometheus.yml: 4 Scrape-Jobs (blackbox-web, blackbox-api, blackbox-infra, blackbox-gpu) - docker/prometheus/alerts.yml: 5 Alert-Regeln (WebAppDown, APIDown, InfraToolDown, GPUServiceDown, SlowHTTPResponse) - docker/grafana/dashboards/uptime.json: Grafana Uptime-Dashboard mit Status-Tables und Verlauf - package.json: check:status Script Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
467 lines
17 KiB
YAML
467 lines
17 KiB
YAML
groups:
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- name: service_alerts
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rules:
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# Service Down Alert
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- alert: ServiceDown
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expr: up{job=~"mana-core-auth|.*-backend|mana-search|mana-media|mana-llm|synapse"} == 0
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for: 1m
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labels:
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severity: critical
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annotations:
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summary: "Service {{ $labels.job }} is down"
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description: "{{ $labels.job }} has been down for more than 1 minute."
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# High Error Rate (> 5% of requests are 5xx)
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- alert: HighErrorRate
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expr: |
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sum(rate(http_requests_total{status=~"5.."}[5m])) by (job)
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/ sum(rate(http_requests_total[5m])) by (job) > 0.05
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "High error rate on {{ $labels.job }}"
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description: "{{ $labels.job }} has error rate of {{ $value | humanizePercentage }} (> 5%)"
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# Very High Error Rate (> 20% of requests are 5xx)
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- alert: VeryHighErrorRate
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expr: |
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sum(rate(http_requests_total{status=~"5.."}[5m])) by (job)
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/ sum(rate(http_requests_total[5m])) by (job) > 0.20
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for: 2m
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labels:
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severity: critical
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annotations:
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summary: "Very high error rate on {{ $labels.job }}"
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description: "{{ $labels.job }} has error rate of {{ $value | humanizePercentage }} (> 20%)"
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# Slow Response Time (p95 > 2s)
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- alert: SlowResponseTime
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expr: |
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histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le, job)) > 2
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Slow response time on {{ $labels.job }}"
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description: "{{ $labels.job }} p95 response time is {{ $value | humanizeDuration }}"
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# Very Slow Response Time (p95 > 5s)
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- alert: VerySlowResponseTime
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expr: |
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histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le, job)) > 5
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for: 2m
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labels:
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severity: critical
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annotations:
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summary: "Very slow response time on {{ $labels.job }}"
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description: "{{ $labels.job }} p95 response time is {{ $value | humanizeDuration }}"
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# High Memory Usage (Node.js heap > 500MB)
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- alert: HighHeapMemory
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expr: nodejs_heap_size_used_bytes > 500 * 1024 * 1024
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "High heap memory on {{ $labels.job }}"
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description: "{{ $labels.job }} heap usage is {{ $value | humanize1024 }}B"
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# Event Loop Lag (> 100ms)
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- alert: HighEventLoopLag
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expr: nodejs_eventloop_lag_seconds > 0.1
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "High event loop lag on {{ $labels.job }}"
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description: "{{ $labels.job }} event loop lag is {{ $value | humanizeDuration }}"
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- name: infrastructure_alerts
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rules:
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# High CPU Usage (> 80%)
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- alert: HighCPUUsage
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expr: 100 - (avg(rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 80
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "High CPU usage on host"
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description: "CPU usage is {{ $value | humanize }}%"
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# Very High CPU Usage (> 95%)
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- alert: VeryHighCPUUsage
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expr: 100 - (avg(rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 95
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for: 5m
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labels:
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severity: critical
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annotations:
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summary: "Very high CPU usage on host"
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description: "CPU usage is {{ $value | humanize }}%"
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# High Memory Usage (> 85%)
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- alert: HighMemoryUsage
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expr: (1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100 > 85
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "High memory usage on host"
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description: "Memory usage is {{ $value | humanize }}%"
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# Very High Memory Usage (> 95%)
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- alert: VeryHighMemoryUsage
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expr: (1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100 > 95
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for: 5m
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labels:
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severity: critical
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annotations:
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summary: "Very high memory usage on host"
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description: "Memory usage is {{ $value | humanize }}%"
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# High Disk Usage — macOS host disks (via Pushgateway, since node-exporter runs in VM)
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# Metrics pushed by scripts/mac-mini/disk-metrics.sh (runs every 5 min via launchd)
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- alert: HighDiskUsage
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expr: |
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mac_disk_used_percent{disk=~"internal|manaData"} > 80
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "High disk usage on {{ $labels.disk }} ({{ $labels.mountpoint }})"
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description: "Disk usage is {{ $value | humanize }}% — {{ $labels.avail_human }} free"
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# Very High Disk Usage (> 90%) — immediate alert
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- alert: VeryHighDiskUsage
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expr: |
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mac_disk_used_percent{disk=~"internal|manaData"} > 90
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for: 2m
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labels:
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severity: critical
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annotations:
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summary: "CRITICAL: Disk {{ $labels.disk }} almost full ({{ $labels.mountpoint }})"
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description: "Disk usage is {{ $value | humanize }}% — only {{ $labels.avail_human }} free. Server may crash."
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# Colima VM disk large (> 150GB actual usage on sparse datadisk)
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- alert: ColimaVMDiskLarge
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expr: |
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mac_colima_disk_used_gb > 150
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for: 30m
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labels:
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severity: warning
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annotations:
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summary: "Colima VM disk is {{ $value | humanize }}GB — consider pruning Docker images"
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description: "Run: docker system prune -f && docker image prune -a"
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- name: database_alerts
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rules:
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# PostgreSQL Down
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- alert: PostgreSQLDown
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expr: pg_up == 0
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for: 1m
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labels:
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severity: critical
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annotations:
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summary: "PostgreSQL is down"
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description: "PostgreSQL has been down for more than 1 minute."
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# Redis Down
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- alert: RedisDown
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expr: redis_up == 0
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for: 1m
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labels:
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severity: critical
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annotations:
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summary: "Redis is down"
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description: "Redis has been down for more than 1 minute."
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# PostgreSQL High Connections (> 80)
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- alert: PostgreSQLHighConnections
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expr: sum(pg_stat_activity_count) > 80
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "High PostgreSQL connections"
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description: "PostgreSQL has {{ $value }} connections (> 80)"
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# PostgreSQL Low Cache Hit Ratio (< 90%)
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- alert: PostgreSQLLowCacheHitRatio
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expr: |
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avg(pg_stat_database_blks_hit{datname!~"template.*|postgres"}
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/ (pg_stat_database_blks_hit{datname!~"template.*|postgres"}
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+ pg_stat_database_blks_read{datname!~"template.*|postgres"} + 0.0001)) * 100 < 90
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "PostgreSQL low cache hit ratio"
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description: "PostgreSQL cache hit ratio is {{ $value | humanize }}%"
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# Redis High Memory (> 1GB)
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- alert: RedisHighMemory
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expr: redis_memory_used_bytes > 1024 * 1024 * 1024
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "Redis high memory usage"
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description: "Redis memory usage is {{ $value | humanize1024 }}B"
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# Redis Blocked Clients
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- alert: RedisBlockedClients
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expr: redis_blocked_clients > 0
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Redis has blocked clients"
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description: "Redis has {{ $value }} blocked clients"
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- name: container_alerts
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rules:
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# Container High CPU (> 80% of limit)
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- alert: ContainerHighCPU
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expr: |
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sum(rate(container_cpu_usage_seconds_total{id=~"/docker/.+"}[5m])) by (name) * 100 > 80
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "Container {{ $labels.name }} high CPU"
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description: "Container {{ $labels.name }} CPU usage is {{ $value | humanize }}%"
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# Container High Memory (> 80% of limit)
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- alert: ContainerHighMemory
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expr: |
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container_memory_usage_bytes{id=~"/docker/.+"}
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/ container_spec_memory_limit_bytes{id=~"/docker/.+"} * 100 > 80
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "Container {{ $labels.name }} high memory"
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description: "Container {{ $labels.name }} memory usage is {{ $value | humanize }}%"
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# Container Restart
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- alert: ContainerRestarted
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expr: |
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increase(container_start_time_seconds{id=~"/docker/.+"}[5m]) > 0
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for: 0m
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labels:
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severity: info
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annotations:
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summary: "Container {{ $labels.name }} restarted"
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description: "Container {{ $labels.name }} has restarted."
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- name: auth_service_alerts
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rules:
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# Auth Service Down
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- alert: AuthServiceDown
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expr: up{job="mana-core-auth"} == 0
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for: 30s
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labels:
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severity: critical
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annotations:
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summary: "Auth Service is down"
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description: "mana-core-auth has been down for more than 30 seconds. All authentication will fail."
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# High Login Failure Rate (> 50% of logins fail with 401)
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- alert: HighLoginFailureRate
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expr: |
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sum(rate(http_requests_total{job="mana-core-auth",route="/auth/login",status="401"}[5m]))
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/ sum(rate(http_requests_total{job="mana-core-auth",route="/auth/login"}[5m])) > 0.5
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "High login failure rate"
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description: "{{ $value | humanizePercentage }} of login attempts are failing."
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# Rate Limiting Triggered Frequently
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- alert: HighRateLimitHits
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expr: |
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sum(rate(http_requests_total{job="mana-core-auth",status="429"}[5m])) > 1
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Frequent rate limiting on Auth Service"
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description: "Rate limit (429) is being hit {{ $value | humanize }} times/second. Possible attack or misconfiguration."
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# Brute Force Detection (> 100 failed logins in 5 min)
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- alert: PossibleBruteForce
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expr: |
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sum(increase(http_requests_total{job="mana-core-auth",route="/auth/login",status="401"}[5m])) > 100
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for: 0m
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labels:
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severity: critical
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annotations:
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summary: "Possible brute force attack detected"
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description: "{{ $value | humanize }} failed login attempts in the last 5 minutes."
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# Registration Spike (unusual registration activity)
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- alert: RegistrationSpike
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expr: |
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sum(rate(http_requests_total{job="mana-core-auth",route="/auth/register",status="201"}[5m])) > 1
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for: 5m
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labels:
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severity: info
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annotations:
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summary: "High registration activity"
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description: "{{ $value | humanize }} registrations per second. Verify this is expected."
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# Token Refresh Failures
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- alert: HighTokenRefreshFailures
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expr: |
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sum(rate(http_requests_total{job="mana-core-auth",route="/auth/refresh",status=~"4.."}[5m]))
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/ sum(rate(http_requests_total{job="mana-core-auth",route="/auth/refresh"}[5m])) > 0.3
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "High token refresh failure rate"
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description: "{{ $value | humanizePercentage }} of token refresh attempts are failing."
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# Password Reset Flood (possible enumeration attack)
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- alert: PasswordResetFlood
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expr: |
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sum(increase(http_requests_total{job="mana-core-auth",route="/auth/forgot-password"}[5m])) > 50
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for: 0m
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labels:
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severity: warning
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annotations:
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summary: "Unusual password reset activity"
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description: "{{ $value | humanize }} password reset requests in the last 5 minutes."
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# Low User Verification Rate (less than 50% verified after 1 week)
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- alert: LowVerificationRate
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expr: |
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auth_users_verified{job="mana-core-auth"} / auth_users_total{job="mana-core-auth"} < 0.5
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for: 1h
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labels:
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severity: info
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annotations:
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summary: "Low email verification rate"
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description: "Only {{ $value | humanizePercentage }} of users have verified their email."
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# Auth Service Slow (p95 > 500ms)
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- alert: AuthServiceSlow
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expr: |
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histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket{job="mana-core-auth"}[5m])) by (le)) > 0.5
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Auth Service responding slowly"
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description: "Auth service p95 latency is {{ $value | humanizeDuration }}. This may impact all services."
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# OIDC Token Endpoint Errors
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- alert: OIDCTokenErrors
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expr: |
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sum(rate(http_requests_total{job="mana-core-auth",route=~"/api/auth/oauth2/token|/api/oidc/token",status=~"5.."}[5m])) > 0.1
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "OIDC token endpoint errors"
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description: "OIDC token endpoint is returning 5xx errors. SSO may be affected."
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- name: uptime_alerts
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rules:
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# Web App offline (HTTP probe failed)
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- alert: WebAppDown
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expr: probe_success{job="blackbox-web"} == 0
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for: 2m
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labels:
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severity: critical
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annotations:
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summary: "Web App offline: {{ $labels.instance }}"
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description: "{{ $labels.instance }} hat seit 2 Minuten keine gültige HTTP-Antwort zurückgegeben."
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# API Health Endpoint offline
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- alert: APIDown
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expr: probe_success{job="blackbox-api"} == 0
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for: 1m
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labels:
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severity: critical
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annotations:
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summary: "API offline: {{ $labels.instance }}"
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description: "{{ $labels.instance }} antwortet nicht auf den Health-Endpoint."
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# Infra Tool offline (Grafana, Git, etc.)
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- alert: InfraToolDown
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expr: probe_success{job="blackbox-infra"} == 0
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for: 3m
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labels:
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severity: warning
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annotations:
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summary: "Infra-Dienst offline: {{ $labels.instance }}"
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description: "{{ $labels.instance }} ist seit 3 Minuten nicht erreichbar."
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# GPU Server Service offline
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- alert: GPUServiceDown
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expr: probe_success{job="blackbox-gpu"} == 0
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "GPU-Dienst offline: {{ $labels.instance }}"
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description: "{{ $labels.instance }} (GPU-Server) ist seit 5 Minuten nicht erreichbar."
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# Slow HTTP response (> 5s)
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- alert: SlowHTTPResponse
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expr: probe_duration_seconds{job=~"blackbox-web|blackbox-api"} > 5
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Langsame HTTP-Antwort: {{ $labels.instance }}"
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description: "{{ $labels.instance }} antwortet mit {{ $value | humanizeDuration }} (> 5s)."
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- name: llm_alerts
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rules:
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# mana-llm Down
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- alert: LLMServiceDown
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expr: up{job="mana-llm"} == 0
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for: 1m
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labels:
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severity: critical
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annotations:
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summary: "mana-llm service is down"
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description: "mana-llm has been down for more than 1 minute. All AI features will fail."
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# High LLM Error Rate (> 10%)
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- alert: LLMHighErrorRate
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expr: |
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sum(rate(mana_llm_llm_errors_total[5m]))
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/ (sum(rate(mana_llm_llm_requests_total[5m])) + 0.001) > 0.1
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "High LLM error rate"
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description: "{{ $value | humanizePercentage }} of LLM requests are failing."
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# Ollama Provider Down (all requests going to fallback)
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- alert: OllamaProviderDown
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expr: |
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sum(rate(mana_llm_llm_requests_total{provider="google"}[5m]))
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/ (sum(rate(mana_llm_llm_requests_total[5m])) + 0.001) > 0.5
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "Ollama appears down — most requests going to Google fallback"
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description: "{{ $value | humanizePercentage }} of LLM requests are using Google Gemini fallback."
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# LLM Slow Responses (p95 > 30s)
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- alert: LLMSlowResponses
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expr: |
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histogram_quantile(0.95, sum(rate(mana_llm_llm_latency_seconds_bucket[5m])) by (le)) > 30
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "LLM responses are slow"
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description: "LLM p95 latency is {{ $value | humanizeDuration }}."
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