Intermediate Topic 29 of 50 DevOps & Tooling
Monitoring and Alerting
Watching metrics and notifying on problems.
How it works
Monitoring collects measurements about systems and applications and alerting notifies people when they indicate a problem. Metrics such as CPU, memory, request rate, error rate and latency are sampled over time, logs record events and traces follow single requests. Common frameworks are the four golden signals (latency, traffic, errors, saturation), RED for services and USE for resources. Alert rules compare a metric to a threshold or trend and route notifications to on-call tools through severity levels and escalation policies. Dashboards and runbooks help responders act.
Where it is used
It detects outages before users complain, guides capacity decisions and supplies data for incident reviews and reliability targets.
Common pitfall
Too many noisy alerts cause fatigue so real problems are ignored, and alerts on causes such as CPU instead of user-visible symptoms mislead. Alert on symptoms, attach a runbook and review and delete alerts that never lead to action.
Where it fits in the course
Monitoring and Alerting is topic 29 of 50 in DevOps & Tooling, rated Intermediate. It follows Configuration Management. The next topic is Logging Pipelines.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the DevOps & Tooling quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the DevOps & Tooling quiz, and revisit the topic if you miss a question.
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Related topics
- Configuration Management (DevOps & Tooling)
- Logging Pipelines (DevOps & Tooling)
- Terraform (DevOps & Tooling)
- Prometheus and Grafana (DevOps & Tooling)