How to setup monitoring on Kubernetes Cluster using Prometheus and Grafana | Setup monitoring on EKS Cluster using Prometheus and Grafana

 

What is Prometheus?

• Prometheus is an open source monitoring tool
• Provides out-of-the-box monitoring capabilities for the Kubernetes container orchestration platform. It can monitor servers and databases as well.
• Collects and stores metrics as time-series data, recording information with a timestamp 
• It is based on pull and collects metrics from targets by scraping metrics HTTP endpoints.

What is Grafana?

• Grafana is an open source visualization and analytics software. 
• It allows you to query, visualize, alert on, and explore your metrics no matter where they are stored.

Please Watch this steps in YouTube Channel:

Prometheus Architecture

Key components:

    1. Prometheus server - Processes and stores metrics data

    2. Alert Manager - Sends alerts to any systems/channels

    3. Grafana - Visualize scraped data in UI

Installation Method

The are are many ways you can setup Prometheus and Grafana. You can install in following ways:

1. Create all configuration files of both Prometheus and Grafana and execute them in right order.

2. Prometheus Operator - to simplify and automate the configuration and management of the Prometheus monitoring stack running on a Kubernetes cluster

3. Helm chart (Recommended) - Using helm to install Prometheus Operator including Grafana

Why to use Helm?

Helm is a package manager for Kubernetes. Helm simplifies the installation of all components in one command. Install using Helm is recommended as you will not be missing any configuration steps and very efficient. 

Prerequisites

• Kubernetes cluster is setup already
• Install Helm
• EC2 instance to access EKS cluster

Implementation steps

We need to add the Helm Stable Charts for your local client. Execute the below command:

helm repo add stable https://charts.helm.sh/stable

# Add prometheus Helm repo

helm repo add prometheus-community https://prometheus-community.github.io/helm-charts

helm search repo prometheus-community

Prometheus and grafana helm chart moved to kube prometheus stack

Create Prometheus namespace

kubectl create namespace prometheus

Below is helm command to install kube-prometheus-stack. The helm repo kube-stack-prometheus (formerly prometheus-operator) comes with a grafana deployment embedded.

helm install stable prometheus-community/kube-prometheus-stack -n prometheus

Lets check if prometheus and grafana pods are running already

kubectl get pods -n prometheus

kubectl get svc -n prometheus

This confirms that prometheus and grafana have been installed successfully using Helm.

In order to make prometheus and grafana available outside the cluster, use load balancer or NodePort.

Edit Prometheus Service

kubectl edit svc stable-kube-prometheus-sta-prometheus -n prometheus

Edit Grafana Service

kubectl edit svc stable-grafana -n prometheus

Verify if service is changed to LoadBalancer and also to get the Load Balancer URL.

kubectl get svc -n prometheus

Access Grafana UI in the browser

Get the URL from the above screenshot and put in the browser

UserName: admin

Password: prom-operator

Create Dashboard in Grafana

In Grafana, we can create various kinds of dashboards as per our needs.

How to Create Kubernetes Monitoring Dashboard?

For creating a dashboard to monitor the cluster:

Click '+' button on left panel and select ‘Import’.

Enter 12740 dashboard id under Grafana.com Dashboard.

Click ‘Load’.

Select ‘Prometheus’ as the endpoint under prometheus data sources drop down.

Click ‘Import’.

This will show monitoring dashboard for all cluster nodes

How to Create Kubernetes Cluster Monitoring Dashboard?

For creating a dashboard to monitor the cluster:

Click '+' button on left panel and select ‘Import’.

Enter 3119 dashboard id under Grafana.com Dashboard.

Click ‘Load’.

Select ‘Prometheus’ as the endpoint under prometheus data sources drop down.

Click ‘Import’.

This will show monitoring dashboard for all cluster nodes

Create POD Monitoring Dashboard

For creating a dashboard to monitor the cluster:

Click '+' button on left panel and select ‘Import’.

Enter 6417 dashboard id under Grafana.com Dashboard.

Click ‘Load’.

Select ‘Prometheus’ as the endpoint under prometheus data sources drop down.

Click ‘Import’.

This will show monitoring dashboard for all cluster nodes.

No such property: docker for class: groovy.lang.Binding | Jenkins Pipeline Error Docker Build | Jenkins docker pipeline error

 Jenkins Pipeline Error: 

groovy.lang.MissingPropertyException: No such property: docker for class: groovy.lang.Binding.

We most likely encountered the same issue, in order to fix it, install Docker Pipeline plugin in Jenkins:

Root Cause and Fix:

Jenkins need to have Docker Pipeline plug-in to perform Docker builds.

Jenkins > Manage Jenkins > Manage Plugins > Available tab

Search for Docker Pipeline install it, restart Jenkins and you are ready to go.

How to check whether my user data passing to EC2 instance is working | AWS EC2 bootstrap script log

The cloud-init output log file (/var/log/cloud-init-output.log) captures console output so it is easy to debug your scripts following a launch if the instance does not behave the way you intended.

Check the Logs in EC2 instance

Login to EC2 instance, and type the below command:

tail -f /var/log/cloud-init-output.log

This will give the output of bootstrap execution

error: exec plugin: invalid apiVersion "client.authentication.k8s.io/v1alpha1"

Kubectl Error:

you may get this error when ever you are running kubectl command

error: exec plugin: invalid apiVersion "client.authentication.k8s.io/v1alpha1"

Solution: 

Make sure you update kubeconfig with below command:

aws eks update-kubeconfig --name ${EKS_CLUSTER_NAME} --region ${REGION}

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DevOps Coaching Highlights:

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stderr: remote: Bitbucket Cloud recently stopped supporting account passwords for Git authentication. remote: App passwords are recommended | Fix for this issue | How to Create app passwords in Bitbucket?

When you are creating any freestyle jobs or pipeline jobs in Jenkins, when you try to checkout a project from Bitbucket and If you are using Bibucket password, you may get this error.

Reason for this error:

Beginning March 1, 2022, Bitbucket Cloud users will no longer be able to use their account passwords when using Basic authentication for Git over HTTPS and the Bitbucket Cloud REST API. The removal of account password usage for Basic authentication when using Git over HTTPS and/or the Bitbucket Cloud REST API is due to Bitbucket Cloud's ongoing effort to align with internal infrastructure and improve Atlassian account security. App passwords are substitute passwords for a user's account and are designed to be used for a single purpose with limited permissions.

How to Create App Passwords in Bitbucket?

Go to Bitbucket--> Settings

Click on App passwords --> Create app password

Now enter label name and click on read/write under repositories

Click on Create, this will generate app password.

Now you can this app password in Jenkins.

Provision Ubuntu 18.0.4 EC2 Instance | How to create EC2 instance in AWS console | Launch Ubuntu 18.0.4 instance in AWS

 How to create EC2 instance in AWS console using new UI experience?

What is EC2 instance? 

It is virtual server provided by AWS. We will be using this EC2 to setup both Jenkins and Tomcat. Please follow the below steps to create an EC2 instance.

Watch here for live demo:

Steps:
1: Login to AWS console by clicking this link -->  https://aws.amazon.com/console/

click on All services, Click on Compute -->  Click on EC2

2. Click on Launch instance

3. Enter Name as EC2 and enter 2 as number of instances

4. Select Ubuntu and choose Ubuntu server 18.0.4 as AMI

5. Enter t2.small as instance type

6. Click on Create new Key Pair

7. Choose the existing key pair if you have one, otherwise create new one, give some name as myJenkinsKey. Make sure you download the key in your local machine. Please do NOT give space or any character while naming the key.

8. Under Network settings, Click Edit

Add port range as 8080 and select AnyWhere as Source Type, that should enter 0.0.0.0/0 as Source

9. Enter 10 GB as storage 

And then make sure in Summary, values appear as below:

10. Click on Launch Instance.

Click on View instances

Now you should be able to view instances in AWS console.

Connect to EC2 instance from local machine:
Please click the below link to understand the steps for connecting to EC2 instance from your local machine - windows or Apple laptop.

http://www.cidevops.com/2018/02/how-to-connect-to-ec2-instance-from.html