M

Monitoring and Observability

Collecting, analysing, and acting on data about system health and performance through metrics, logs, and traces to ensure reliable applications.

In-Depth Explanation

Monitoring and observability are complementary practices for understanding system behaviour. Monitoring tells you when something is wrong; observability helps you understand why.

Three pillars of observability:

  • Metrics: Numerical measurements over time (CPU, error rate, latency)
  • Logs: Timestamped records of events and errors
  • Traces: End-to-end request tracking across distributed services

Monitoring types:

  • Infrastructure: Server health, CPU, memory, disk, network
  • Application Performance (APM): Response times, error rates, throughput
  • Real User Monitoring (RUM): Actual user experience from browsers
  • Synthetic: Automated tests simulating user interactions
  • Log monitoring: Alerting on specific log patterns
  • Uptime: External availability checking

Popular monitoring tools:

  • Datadog: Comprehensive monitoring platform
  • New Relic: Application performance monitoring
  • Grafana + Prometheus: Open-source metrics stack
  • AWS CloudWatch: Native AWS monitoring
  • Sentry: Application error tracking
  • PagerDuty/OpsGenie: Incident alerting

Alerting best practices:

  • Alert on symptoms (user-facing impact) not causes
  • Set meaningful thresholds to avoid alert fatigue
  • Use severity levels (critical, warning, info)
  • Include runbook links in notifications
  • Implement escalation policies
  • Review and tune alerts regularly

Business Context

Effective monitoring reduces mean time to detection and recovery, cutting incident impact by 60-80% and preventing many issues from affecting customers.

How Clever Ops Uses This

Clever Ops implements monitoring and observability for Australian businesses, setting up dashboards, alerts, and automated response workflows for reliable system operations.

Example Use Case

"A SaaS company implements Datadog monitoring with custom dashboards and distributed tracing. Mean time to detection drops from 30 minutes to 2 minutes, and MTTR drops from 2 hours to 15 minutes."

Frequently Asked Questions

Category

cloud infrastructure

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