monitoring

Downtime: Why It Happens, How to Kill It

4 min read

Common causes, prevention with monitoring.

Downtime: Causes and Kills

Downtime costs. Understand, prevent.

Costs

Financial: Downtime drives direct revenue loss and operational expense; impact varies by business model (source: https://docs.aws.amazon.com/wellarchitected/latest/reliability-pillar/welcome.html).

Reputation: Users abandon slow or unavailable sites; slower load times increase bounce probability (source: https://www.thinkwithgoogle.com/marketing-strategies/app-and-mobile/page-load-time-statistics/). SEO can also be affected by poor availability and performance.

Operational: Productivity loss, support burden, stress.

Causes

  1. Hardware Fails
  • Drives crash, RAM dies, CPU hot, PSU gone, net card bad.

Prevent: Redundant hardware, health monitoring, cooling, spares, cloud.

  1. Software Bugs
  • Bad deploys, DB migrations, OS updates, plugin conflicts, leaks.

Prevent: Testing, staging, canary, rollbacks, perf monitoring.

  1. Traffic/DDOS
  • Viral, campaigns, attacks, bots, sales.

Prevent: Auto-scale, CDNs, DDOS protection, traffic monitoring, capacity planning.

  1. DB Issues
  • Crashes, corruption, slow queries, disk full, pool exhausted.

Prevent: Backups, optimization, replication, monitoring, pooling.

  1. Net/DNS
  • ISP out, DNS fail, routing bad, cable cuts, config errors.

Prevent: Multi DNS, geo failover, net monitoring, multi ISPs, audits.

  1. Security
  • Malware, ransomware, SQL injection, XSS, brute force.

Prevent: Updates, auth, WAF, audits, training.

  1. Human Error
  • Deletes, config bad, wrong env deploys, query mistakes, firewall mess.

Prevent: Change mgmt, auto deploys, reviews, doc, training.

  1. Third-Party
  • Payment out, CDN issues, cloud disrupts, rate limits, cert expires.

Prevent: Diversify, degradation, monitor status, backup payments, auto renew.

  1. Resource Exhaust
  • Disk full, memory out, CPU 100%, bandwidth sat, DB connections max.

Prevent: Resource monitoring, alerts, auto-scale, cleanup, optimize.

  1. Environmental
  • Power out, disasters, construction, weather, instability.

Prevent: Redundant power, geo distribution, recovery plans, multi-cloud, backups.

Prevention

Layered: Infra, monitoring, auto response, maintenance.

Infra

Redundancy:

Primary DC (US-East)
├── LB (2x)
├── Web (3x)
├── DB Cluster (Master + 2 Slaves)
└── Backup (UPS + Gen)

Secondary DC (US-West)
├── Standby
├── Real-time Rep
└── Auto Failover

Monitoring

exit1.dev: 1-min, global, intelligent alerts.

Uptime: 1-min multi-location, HTTP/HTTPS, SSL, DNS.

Perf: Response, load, DB queries, CDN/static.

Biz: Journeys, APIs, payments, search.

Auto Response

Scale on traffic, failover backups, health removal, cache warming.

Alerts: Immediate critical, escalation.

Maintenance

Security updates, DB opt, log clean, health checks.

Recovery tests: Monthly failover, backup restore, net failover, comm practice.

Checklist

  • Redundancy
  • Monitoring
  • Backups

exit1.dev

Detects 1-min, global, alerting. Data for patterns.

Alerting: Multi-location, retries, contextual, integrations.

Coverage: Website, API, SSL, DNS.

Response Plan

Prep: Doc systems, contacts, channels, roles.

Detect: Alerts, reports, notifications, escalation.

Response: Assess, mobilize, update status, investigate.

Recovery: Restore confirm, monitor perf, communicate res, analyze.

Learn: Root cause, improvements, training, monitoring enhance.

Measure

Availability: Uptime %, MTTD, MTTR, incidents/mo.

Perf: Response avg, load trends, error %, UX scores.

Biz: Revenue lost, satisfaction, tickets, retention.

Improve: Monthly reviews, quarterly assessments, annual plans, evaluations.

Conclusion

Prevent > react.

exit1.dev foundation. 1-min, global, intelligent. With planning, response, learning, high availability.

Goal: Minimize frequency, duration, learn.

Related: 101, Alerts, Real-time, Best Practices

Monitor with exit1.dev here. Catch before outages.

Sources

Morten Pradsgaard is the founder of exit1.dev — the free uptime monitor for people who actually ship. He writes no-bullshit guides on monitoring, reliability, and building software that doesn't crumble under pressure.