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DAY-42 | KUBERNETES MONITORING USING PROMETHEUS & GRAFANA |LIVE DEMO |STEPS IN GITHUB | #kubernetes

DAY-42 | KUBERNETES MONITORING USING PROMETHEUS & GRAFANA |LIVE DEMO |STEPS IN GITHUB | #kubernetes

Abhishek.Veeramalla

40:54

Overview

This video demonstrates how to set up and use Prometheus and Grafana for monitoring Kubernetes clusters. It begins by explaining the importance of monitoring in a Kubernetes environment, especially as the number of clusters and teams using them grows. The tutorial then introduces Prometheus as an open-source monitoring and alerting toolkit and Grafana as a visualization platform. A practical demonstration follows, showing the installation of Prometheus and Grafana on a Minikube cluster using Helm. The video covers exposing services, accessing the Prometheus UI, and configuring Grafana with Prometheus as a data source. It also highlights the utility of Cube State Metrics for gathering more detailed Kubernetes resource information and touches upon how to integrate custom application metrics.

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Chapters

  • Importance of monitoring in Kubernetes for managing multiple clusters and teams.
  • Introduction to Prometheus for monitoring and Grafana for visualization.
  • Availability of a GitHub repository with installation steps and demo configurations.
  • Prerequisite: A working Kubernetes cluster (Minikube, k3s, etc.).
  • Prometheus server collects metrics via HTTP.
  • Kubernetes API server exposes default metrics (e.g., /metrics endpoint).
  • Prometheus stores data in a time-series database.
  • Integration with Alertmanager for notifications (Slack, email).
  • Prometheus UI for querying metrics (PromQL).
  • Grafana provides enhanced visualization of metrics.
  • It can use various data sources, including Prometheus.
  • Dashboards in Grafana display data in charts and graphs.
  • Pre-built dashboards are available for quick setup.
  • Starting a Minikube cluster using `minikube start` command.
  • Recommendation to use a specific driver like `hyperkit` for better networking.
  • Configuring memory and driver options for Minikube.
  • Verifying the cluster status with `kubectl get pods -a`.
  • Adding the Prometheus community Helm repository (`helm repo add`).
  • Updating Helm repositories (`helm repo update`).
  • Installing the Prometheus controller using `helm install`.
  • Verifying Prometheus pod status (`kubectl get pods`).
  • Cube State Metrics provides additional Kubernetes resource metrics beyond the API server.
  • It offers details on deployments, pods, services, and replica counts.
  • Installed by default with the Prometheus Helm chart.
  • Can be exposed as a service to access its metrics endpoint.
  • Converting ClusterIP services to NodePort for external access.
  • Using `kubectl expose service` to create external services.
  • Accessing Prometheus UI via NodePort (e.g., `http://<minikube-ip>:<node-port>`).
  • Accessing Cube State Metrics metrics endpoint.
  • Adding the Grafana Helm repository.
  • Installing Grafana using `helm install`.
  • Retrieving the Grafana admin password using `kubectl get secret`.
  • Exposing the Grafana service using NodePort.
  • Logging into Grafana with admin credentials.
  • Configuring Prometheus as a data source in Grafana.
  • Using the 'import dashboard' feature in Grafana.
  • Importing a pre-built Kubernetes dashboard (ID: 3362).
  • Visualizing Kubernetes node and API server metrics.
  • Leveraging Cube State Metrics for detailed resource information.
  • Exposing Cube State Metrics endpoint and accessing its metrics.
  • Configuring Prometheus to scrape custom application metrics.
  • Developers need to implement metrics endpoints for their applications.
  • Updating Prometheus configuration (ConfigMap) to include new scrape targets.

Key Takeaways

  1. 1Monitoring is crucial for managing Kubernetes environments effectively.
  2. 2Prometheus collects metrics, and Grafana visualizes them, providing a powerful monitoring solution.
  3. 3Helm charts simplify the installation of complex applications like Prometheus and Grafana.
  4. 4Cube State Metrics significantly enhances Kubernetes monitoring by providing detailed resource information.
  5. 5Exposing services via NodePort is a simple way to access them locally, while Ingress is preferred for production.
  6. 6Grafana's import feature allows quick setup of monitoring dashboards using community-provided templates.
  7. 7Integrating custom application metrics requires developers to expose metrics endpoints, which can then be scraped by Prometheus.