Kubernetes Cluster Setup

Description

Set up a production-ready Kubernetes cluster with monitoring and logging.

Objective

Deploy a secure, observable, and maintainable Kubernetes environment with full monitoring and logging capabilities.

Solution

Cluster Setup

  1. 1Provision Kubernetes cluster (EKS, GKE, AKS, or kubeadm).
  2. 2Configure kubectl access and RBAC.
  3. 3Enable autoscaling and node pools.

Monitoring with Prometheus and Grafana

  1. 1Deploy Prometheus Operator for metrics.
  2. 2Configure ServiceMonitors for workloads.
  3. 3Deploy Grafana and import dashboards.
  4. 4Set up alerting rules and Alertmanager integration.
  5. 5
    bashkubectl create namespace monitoring
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm install prometheus prometheus-community/kube-prometheus-stack -n monitoring

Logging with EFK Stack

  1. 1Deploy Fluentd DaemonSet to collect logs.
  2. 2Send logs to Elasticsearch.
  3. 3Deploy Kibana for visualization.
  4. 4Configure log retention policies.
  5. 5
    bashkubectl create namespace logging
helm repo add elastic https://helm.elastic.co
helm install elasticsearch elastic/elasticsearch -n logging
helm install kibana elastic/kibana -n logging
helm install fluentd stable/fluentd -n logging

Security & Hardening

  1. 1Enable RBAC and NetworkPolicies.
  2. 2Enable TLS for monitoring/logging endpoints.
  3. 3Scan container images with Trivy.

CI/CD Integration

  1. 1Automate monitoring/logging stack deployment via Helm.
  2. 2Integrate health checks into CI/CD pipeline.
  3. 3Validate deployments with log queries.

Validation

  1. 1Check Grafana dashboards for cluster health.
  2. 2Query logs in Kibana.
  3. 3Simulate failures and confirm alerts are triggered.

Tool Stack Used

  • ⎈Kubernetes
  • 📊Prometheus
  • 📊Grafana
  • 🔧Elasticsearch
  • 🔧Fluentd
  • 🔧Kibana
  • 🔧Helm
  • 🔧Trivy