← Back to microservices patterns mapalerts
Microservices Pattern
Log Aggregation + Alerting
Trigger alerts from logs and metrics before users report problems.
Detailed Description
Alerts should represent user impact or urgent operational risk.
Too many low-signal alerts train teams to ignore the monitoring system.
Visual Diagram
Alert Rules (examples) error_rate > 5% → PagerDuty alert p99_latency > 2000ms → Slack warning pod restarts > 3 → immediate page disk usage > 85% → warning email SLO / Error Budget SLO: 99.9% uptime = 43.8 min/month Budget: consumed 40 min this month → freeze deployments, focus on stability
Tradeoffs
Pros
Proactive detection and accountability
Cons
Alert fatigue if thresholds are noisy
Examples: PagerDuty, OpsGenie, Grafana Alerts, CloudWatch Alarms
Comments
Sign in to leave a comment. Your name and photo come from Google; nothing else is shared.
Loading comments...
All courses
24 courses in 5 subjects
AI
System Design
Backend
- GraphQL8 modules · 69 lessons planned
- Core Python13 modules · 75 lessons planned
- FastAPI5 sections · 20 lessons
- Node.js14 modules · 206 lessons planned
- Node.js Performance7 chapters · 36 topics
- Event Loop Lifecycle6 phases · 3 scenarios
- Docker & Containerization11 modules · 144 lessons planned
- AWS for Developers14 modules · 219 lessons planned
- CI/CD & DevOps Automation10 modules · 134 lessons planned
Frontend
Fundamentals
On this page
0 sections