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Kubernetes Tutorial

Introduction to Kubernetes
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Kubernetes Monitoring

Kubernetes Monitoring

PreviousPrev

Build a mental model for observing cluster health with metrics-server, Prometheus, Grafana, logging stacks, and alerting components.

Why Monitoring Matters in Kubernetes

Kubernetes is dynamic. Pods move, restart, scale, and disappear. Without monitoring, debugging becomes guesswork.

First Layer: Basic Resource Metrics

The simplest built-in style of monitoring is resource usage via metrics-server.

kubectl top nodes
kubectl top pods

These commands help you spot overloaded nodes or unexpectedly heavy pods.

Common Monitoring Stack Components

ComponentPurpose
metrics-serverLightweight CPU and memory metrics for kubectl top and HPA
PrometheusTime-series metrics collection and querying
GrafanaDashboards and visualization
kube-state-metricsExposes Kubernetes object state as metrics
node-exporterHost-level node metrics
AlertmanagerRoutes and groups alerts

Prometheus Scraping Flow

Prometheus observability stack

Metric sources (expose /metrics endpoint)

App Pods

custom metrics

node-exporter

host metrics

kube-state-metrics

K8s object state

kubelet

cAdvisor metrics

Prometheus

Scrapes, stores, and queries metrics (PromQL)

Grafana

Dashboards & visualisation

Alertmanager

Routes alerts → Slack / PagerDuty

ServiceMonitor Mention

In Prometheus Operator-based setups, a ServiceMonitor custom resource often tells Prometheus which Services to scrape.

Logging in Kubernetes

Metrics are only part of observability. For logs, teams often use stacks based on:

  • Fluentd or Fluent Bit
  • Loki
  • ELK or OpenSearch-based pipelines

Tracing Mention

For distributed tracing across microservices, tools such as Jaeger or Tempo can help show request paths and latency between services.

Why Layered Observability Wins

  • metrics tell you something is wrong
  • logs help explain what happened
  • traces show how requests moved through services

Monitoring is like the dashboard of a plane. You do not want only one gauge. You want fuel, altitude, speed, warnings, and route visibility together.

Exercise

kubectl Top Dependency

What component commonly powers `kubectl top pods` and `kubectl top nodes`?

Exercise

Observability Layers

Which statement best describes logs, metrics, and traces together?

PreviousPrev

Continue Learning

Installing and Using Helm

Install Helm on macOS, Linux, or Windows and learn the basic commands for repositories, releases, and uninstalling charts.

18 min·Easy

Understanding Helm Charts

Explore chart structure, template syntax, built-in objects, and commands that help you render and lint Helm templates.

22 min·Easy

Helm Values, Upgrades, and Rollbacks

Override chart values, understand values precedence, and manage release upgrades and rollbacks safely with Helm.

22 min·Easy

Explore Related Topics

Do

Docker Tutorials

Build the containers Kubernetes orchestrates

Te

Terraform Tutorials

Provision Kubernetes clusters as code

Try the Tool

YAML Validator

Validate Kubernetes manifests and any YAML files instantly.

On This Page

Why Monitoring Matters in KubernetesFirst Layer: Basic Resource MetricsCommon Monitoring Stack ComponentsPrometheus Scraping FlowServiceMonitor MentionLogging in KubernetesTracing MentionWhy Layered Observability Wins