grafana-k8s-lb

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Contact

About The Project

A simplified way to provide a monitoring structure with Grafana within a k8s cluster (preferably local) with 2 replicas running on different Nodes. Using nginx as a load balancer, distributing load among the pods through the NodePort of the cluster

(back to top)

Built With

• 
• 
• 

(back to top)

Prerequisites

• Having a local (or cloud provider) Kubernetes infrastructure with at least two worker nodes;
• Set your IP's;
• Make sure you have kubernetes and load balancer ports relesead in your network;
• Make sure you have docker installed.

Installation

1. Clone the repo

   git clone https://github.com/gui-sousa/grafana-k8s-lb.git

2. Build docker image

   docker run -d -p 80:80 --name lb-grafana gsousa/grafana-bwg:latest

3. Deploy k8s statements

    kubectl apply -f pv.yaml && \
    kubectl apply -f pvc.yaml && \
    kubectl apply -f service.yaml && \
    kubectl apply -f deployment.yaml

4. Access you grafana initial setup page in http://localhost

(back to top)

Usage

In pv.yaml change the nfs server ip adress for your environment

    nfs:
    server: <YOUR STORAGE IP>
    path: "/mnt/apps/grafana-vol"

The same in upstream block in nginx.conf

      upstream grafana {
        server <K3S-NODE-1>:32009 weight=2 max_fails=3 fail_timeout=10;
        server <K3S-NODE-2>:32009 backup;
    }

This file, there is a load balancing configuration between the two Nodes running Grafana. All traffic is prioritized to NODE-1 while NODE-2 remains as a backup. In this scenario, if Grafana on NODE-1 experiences 2 connection failures within 10 seconds, all traffic is redirected to the Grafana hosted on NODE-2.

(back to top)

Contact

Gui Sousa - https://www.linkedin.com/in/guilherme-sousa-rodrigues/

Project Link: https://github.com/github_username/repo_name

(back to top)