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mockupAWS/infrastructure/monitoring/prometheus/alerts.yml
Luca Sacchi Ricciardi 38fd6cb562
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release: v1.0.0 - Production Ready
Complete production-ready release with all v1.0.0 features:

Architecture & Planning (@spec-architect):
- Production architecture design with scalability and HA
- Security audit plan and compliance review
- Technical debt assessment and refactoring roadmap

Database (@db-engineer):
- 17 performance indexes and 3 materialized views
- PgBouncer connection pooling
- Automated backup/restore with PITR (RTO<1h, RPO<5min)
- Data archiving strategy (~65% storage savings)

Backend (@backend-dev):
- Redis caching layer with 3-tier strategy
- Celery async jobs with Flower monitoring
- API v2 with rate limiting (tiered: free/premium/enterprise)
- Prometheus metrics and OpenTelemetry tracing
- Security hardening (headers, audit logging)

Frontend (@frontend-dev):
- Bundle optimization: 308KB (code splitting, lazy loading)
- Onboarding tutorial (react-joyride)
- Command palette (Cmd+K) and keyboard shortcuts
- Analytics dashboard with cost predictions
- i18n (English + Italian) and WCAG 2.1 AA compliance

DevOps (@devops-engineer):
- Complete deployment guide (Docker, K8s, AWS ECS)
- Terraform AWS infrastructure (Multi-AZ RDS, ElastiCache, ECS)
- CI/CD pipelines with blue-green deployment
- Prometheus + Grafana monitoring with 15+ alert rules
- SLA definition and incident response procedures

QA (@qa-engineer):
- 153+ E2E test cases (85% coverage)
- k6 performance tests (1000+ concurrent users, p95<200ms)
- Security testing (0 critical vulnerabilities)
- Cross-browser and mobile testing
- Official QA sign-off

Production Features:
 Horizontal scaling ready
 99.9% uptime target
 <200ms response time (p95)
 Enterprise-grade security
 Complete observability
 Disaster recovery
 SLA monitoring

Ready for production deployment! 🚀
2026-04-07 20:14:51 +02:00

329 lines
11 KiB
YAML

groups:
- name: mockupaws-application
interval: 30s
rules:
#------------------------------------------------------------------------------
# Availability & Uptime
#------------------------------------------------------------------------------
- alert: ServiceDown
expr: up{job="mockupaws-backend"} == 0
for: 1m
labels:
severity: critical
service: backend
annotations:
summary: "mockupAWS Backend is down"
description: "The mockupAWS backend has been down for more than 1 minute."
runbook_url: "https://docs.mockupaws.com/runbooks/service-down"
- alert: ServiceUnhealthy
expr: probe_success{job="blackbox-http"} == 0
for: 2m
labels:
severity: critical
annotations:
summary: "mockupAWS is unreachable"
description: "Health check has failed for {{ $labels.instance }} for more than 2 minutes."
#------------------------------------------------------------------------------
# Error Rate Alerts
#------------------------------------------------------------------------------
- alert: HighErrorRate
expr: |
(
sum(rate(http_requests_total{job="mockupaws-backend",status=~"5.."}[5m]))
/
sum(rate(http_requests_total{job="mockupaws-backend"}[5m]))
) > 0.01
for: 2m
labels:
severity: critical
annotations:
summary: "High error rate detected"
description: "Error rate is {{ $value | humanizePercentage }} over the last 5 minutes."
- alert: High5xxRate
expr: sum(rate(http_requests_total{status=~"5.."}[1m])) > 10
for: 1m
labels:
severity: critical
annotations:
summary: "High 5xx error rate"
description: "More than 10 5xx errors per minute."
#------------------------------------------------------------------------------
# Latency Alerts
#------------------------------------------------------------------------------
- alert: HighLatencyP95
expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m])) > 0.5
for: 3m
labels:
severity: warning
annotations:
summary: "High latency detected (p95 > 500ms)"
description: "95th percentile latency is {{ $value }}s."
- alert: VeryHighLatencyP95
expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m])) > 1.0
for: 2m
labels:
severity: critical
annotations:
summary: "Very high latency detected (p95 > 1s)"
description: "95th percentile latency is {{ $value }}s."
- alert: HighLatencyP50
expr: histogram_quantile(0.50, rate(http_request_duration_seconds_bucket[5m])) > 0.2
for: 5m
labels:
severity: warning
annotations:
summary: "Latency above target (p50 > 200ms)"
description: "50th percentile latency is {{ $value }}s."
#------------------------------------------------------------------------------
# Throughput Alerts
#------------------------------------------------------------------------------
- alert: LowRequestRate
expr: rate(http_requests_total[5m]) < 0.1
for: 10m
labels:
severity: warning
annotations:
summary: "Low request rate detected"
description: "Request rate is unusually low ({{ $value }}/s)."
- alert: TrafficSpike
expr: |
(
rate(http_requests_total[5m])
/
avg_over_time(rate(http_requests_total[1h] offset 1h)[1h:5m])
) > 5
for: 2m
labels:
severity: warning
annotations:
summary: "Traffic spike detected"
description: "Traffic is {{ $value }}x higher than average."
- name: infrastructure
interval: 30s
rules:
#------------------------------------------------------------------------------
# CPU Alerts
#------------------------------------------------------------------------------
- alert: HighCPUUsage
expr: 100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 80
for: 5m
labels:
severity: warning
annotations:
summary: "High CPU usage on {{ $labels.instance }}"
description: "CPU usage is above 80% for more than 5 minutes."
- alert: CriticalCPUUsage
expr: 100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 95
for: 2m
labels:
severity: critical
annotations:
summary: "Critical CPU usage on {{ $labels.instance }}"
description: "CPU usage is above 95%."
#------------------------------------------------------------------------------
# Memory Alerts
#------------------------------------------------------------------------------
- alert: HighMemoryUsage
expr: |
(
node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes
) / node_memory_MemTotal_bytes * 100 > 85
for: 5m
labels:
severity: warning
annotations:
summary: "High memory usage on {{ $labels.instance }}"
description: "Memory usage is above 85% for more than 5 minutes."
- alert: CriticalMemoryUsage
expr: |
(
node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes
) / node_memory_MemTotal_bytes * 100 > 95
for: 2m
labels:
severity: critical
annotations:
summary: "Critical memory usage on {{ $labels.instance }}"
description: "Memory usage is above 95%."
#------------------------------------------------------------------------------
# Disk Alerts
#------------------------------------------------------------------------------
- alert: HighDiskUsage
expr: |
(
node_filesystem_size_bytes{mountpoint="/"} - node_filesystem_avail_bytes{mountpoint="/"}
) / node_filesystem_size_bytes{mountpoint="/"} * 100 > 80
for: 5m
labels:
severity: warning
annotations:
summary: "High disk usage on {{ $labels.instance }}"
description: "Disk usage is above 80% for more than 5 minutes."
- alert: CriticalDiskUsage
expr: |
(
node_filesystem_size_bytes{mountpoint="/"} - node_filesystem_avail_bytes{mountpoint="/"}
) / node_filesystem_size_bytes{mountpoint="/"} * 100 > 90
for: 2m
labels:
severity: critical
annotations:
summary: "Critical disk usage on {{ $labels.instance }}"
description: "Disk usage is above 90%."
- name: database
interval: 30s
rules:
#------------------------------------------------------------------------------
# PostgreSQL Alerts
#------------------------------------------------------------------------------
- alert: PostgreSQLDown
expr: pg_up == 0
for: 1m
labels:
severity: critical
annotations:
summary: "PostgreSQL is down"
description: "PostgreSQL instance {{ $labels.instance }} is down."
- alert: PostgreSQLHighConnections
expr: |
(
pg_stat_activity_count{state="active"}
/ pg_settings_max_connections
) * 100 > 80
for: 5m
labels:
severity: warning
annotations:
summary: "High PostgreSQL connection usage"
description: "PostgreSQL connection usage is {{ $value }}%."
- alert: PostgreSQLReplicationLag
expr: pg_replication_lag > 30
for: 5m
labels:
severity: warning
annotations:
summary: "PostgreSQL replication lag"
description: "Replication lag is {{ $value }} seconds."
- alert: PostgreSQLSlowQueries
expr: |
rate(pg_stat_statements_calls[5m]) > 0
and
(
rate(pg_stat_statements_total_time[5m])
/ rate(pg_stat_statements_calls[5m])
) > 1000
for: 5m
labels:
severity: warning
annotations:
summary: "Slow PostgreSQL queries detected"
description: "Average query time is above 1 second."
- name: redis
interval: 30s
rules:
#------------------------------------------------------------------------------
# Redis Alerts
#------------------------------------------------------------------------------
- alert: RedisDown
expr: redis_up == 0
for: 1m
labels:
severity: critical
annotations:
summary: "Redis is down"
description: "Redis instance {{ $labels.instance }} is down."
- alert: RedisHighMemoryUsage
expr: |
(
redis_memory_used_bytes
/ redis_memory_max_bytes
) * 100 > 85
for: 5m
labels:
severity: warning
annotations:
summary: "High Redis memory usage"
description: "Redis memory usage is {{ $value }}%."
- alert: RedisLowHitRate
expr: |
(
rate(redis_keyspace_hits_total[5m])
/ (
rate(redis_keyspace_hits_total[5m])
+ rate(redis_keyspace_misses_total[5m])
)
) < 0.8
for: 10m
labels:
severity: warning
annotations:
summary: "Low Redis cache hit rate"
description: "Redis cache hit rate is below 80%."
- alert: RedisTooManyConnections
expr: redis_connected_clients > 100
for: 5m
labels:
severity: warning
annotations:
summary: "High Redis connection count"
description: "Redis has {{ $value }} connected clients."
- name: business
interval: 60s
rules:
#------------------------------------------------------------------------------
# Business Metrics Alerts
#------------------------------------------------------------------------------
- alert: LowScenarioCreationRate
expr: rate(scenarios_created_total[1h]) < 0.1
for: 30m
labels:
severity: warning
annotations:
summary: "Low scenario creation rate"
description: "Scenario creation rate is unusually low."
- alert: HighReportGenerationFailures
expr: |
(
rate(reports_failed_total[5m])
/ rate(reports_total[5m])
) > 0.1
for: 5m
labels:
severity: warning
annotations:
summary: "High report generation failure rate"
description: "Report failure rate is {{ $value | humanizePercentage }}."
- alert: IngestionBacklog
expr: ingestion_queue_depth > 1000
for: 5m
labels:
severity: warning
annotations:
summary: "Log ingestion backlog"
description: "Ingestion queue has {{ $value }} pending items."