How to configure Prometheus and Grafana in Azure Kubernetes

Author – Mahesh Kumar, Cloud Engineer

Overview

Prometheus and Grafana are open-source monitoring tools which helps to monitor Kubernetes clusters. It allows users and developers to capture metrics and telemetry data for applications running inside the cluster. It allows for deeper insights of your application’s performance and reliability at the container level.

Prometheus

Prometheus stores all the data as a time series. This data can be retrieved by PromQL query language and visualized with a built-in expression browser. Prometheus does not provide a dashboard it relies on a visualizing tool to represent the data. It is one of the most used Kubernetes monitoring tools. The Kubernetes ecosystem provides built-in Prometheus adapter that exposes generated metrics and collects the telemetry data.

Grafana

Grafana is used to visualize any data. It can be used to create multiple dashboards, or you can use pre-designed dashboards that are provided within Grafana which also supports a variety of beautiful graphs and visualizations for different users and stakeholders. It has support for integration for different types of data sources, which are listed below.

Prometheus
Azure Monitor
Google Cloud Monitoring
AWS CloudWatch
Elasticsearch
Graphite
InfluxDB
Loki
Microsoft SQL Server (MSSQL)
MySQL
OpenTSDB
PostgreSQL

Prerequisites

Azure subscription
Azure CLI
Azure Kubernetes cluster
Helm CLI

Create AKS cluster

Before configuration, we will need an AKS cluster if you don’t have an existing cluster you can use the below command to create a new AKS cluster. Also, you can use the azure portal, but we will use Azure CLI to create cluster.

$ az login $ az account list -o table $ az account set –subscription $ az aks get-credentials -n -g

Once the cluster is setup you need to clone the repository below.

$ git clone https://github.com/maheshkvis/AKS-Monitoring-Tool.git

Installing Prometheus Helm Chart

Run the command below to install Prmetheus helm Chart and be sure to set “rbac.create=true” if RBAC is enabled inside your cluster.

$ cd AKS-Monitoring-ToolPrometheus $ kubectl create namespace monitoring $ helm install . –namespace monitoring –set rbac.create=false $ SVC_IP=$(kubectl get svc –namespace monitoring -l "app=prometheus,component=server" -o jsonpath="{.items[0].spec.clusterIP}")

The $SVP_IP stores your Prometheus server IP we will be using this for configuring Grafana.

Installing Grafana Chart

Run the code below to install Grafana Chart:

$ cd ..grafana $ grafana_chart= $ helm install $grafana_chart . –set persistence.enabled=true –set persistence.accessModes={ReadWriteOnce} –set persistence.size=8Gi –namespace monitoring

Run the following command to acess the Grafana Dashboard:

$ kubectl get svc $grafana_chart

$ export POD_NAME=$(kubectl get pods –namespace monitoring -l "app.kubernetes.io/name=grafana,app.kubernetes.io/instance=chart-1599858402" -o jsonpath="{.items[0].metadata.name}") $ kubectl –namespace monitoring port-forward $POD_NAME 3000

The Grafana dashboard username is admin and for password execute this command.

$ kubectl get secret –namespace monitoring $grafana_chart -o jsonpath="{.data.admin-password}" | base64 –decode ; echo