Mega Project Spotlight: Full-Stack DevSecOps Pipeline for EKS with GitHub Actions & Terraform

Executive Summary

This project outlines a comprehensive end-to-end DevOps pipeline implementation reflecting real-world corporate workflows. The project demonstrates how to build a complete CI/CD pipeline using GitHub Actions, integrating code quality checks, container management, Kubernetes deployment, and monitoring solutions. The implementation follows industry best practices and provides a blueprint for modern application delivery workflows.

Tools & Technologies Used

Core Components:

• GitHub Actions: CI/CD pipeline orchestration

• Self-hosted Runner: Custom VM for pipeline execution

• Kubernetes: Self-managed cluster for application deployment

• Docker: Application containerization

• SonarQube: Code quality and security analysis

• Trivy: Container and filesystem vulnerability scanning

• GitLeaks: Detects hardcoded secrets in the source code.

• AWS CLI: Manages AWS resources.

• Terraform: Infrastructure as Code (IaC) for provisioning EKS clusters.

Monitoring Stack:

• Prometheus: Metrics collection and storage

• Grafana: Visualization and dashboarding

• Blackbox Exporter: External HTTP endpoint monitoring

• Node Exporter: System-level metrics collection

Infrastructure:

• AWS EC2: Virtual machine hosting

• Ubuntu 24.04: Base operating system

Project Architecture

Client Request → JIRA Ticket → Developer Implementation → GitHub Repository
     ↓
GitHub Actions Pipeline (Self-hosted Runner)
[Code Checkout → Build → Test → SonarQube Analysis → Artifact Creation → 
 Docker Build → Trivy Scan → DockerHub Push → K8s Deployment]
     ↓
Kubernetes Cluster (Master/Worker) → Application Deployment
     ↓
Prometheus/Grafana Monitoring

---

Prerequisites

Before diving into this project, here are some skills and tools you should be familiar with:

• Terraform installed on your machine.

• A GitHub account.

• A GitHub personal access token with the necessary permissions to create repositories.

⚠️ Important:

1. Make sure First you will create a .pem key manually from the AWS console. i.e "MYLABKEY.pem" because it will be used for creating EC2 VMs and EKS cluster.

2. Copy MYLABKEY.pem in the terraform directory (01.Code_IAC_Selfhosted-Runner-and-Trivy and 03.Code_IAC_Terraform_box ) as below your terraform code

3. Generate the Github Token

ls 
\Learning_GitHub_Action\02.Github_Action_DevOps-Project\Terraform_Code_Infra_setup


Mode                 LastWriteTime         Length Name                                                                                                                                                                                              
----                 -------------         ------ ----                                                                                                                                                                                              
dar--l          17/04/25  12:48 PM                .terraform                                                                                                                                                                                        
dar--l          21/04/25  12:34 PM                00.Code_IAC-github-repo                                                                                                                                                                           
dar--l          21/04/25  12:34 PM                01.Code_IAC_Selfhosted-Runner-and-Trivy                                                                                                                                                           
dar--l          21/04/25   1:38 PM                02.Code_IAC_SonarQube                                                                                                                                                                             
dar--l          21/04/25  12:34 PM                03.Code_IAC_Terraform_box                                                                                                                                                                         
-a---l          20/08/24   1:45 PM            493 .gitignore                                                                                                                                                                                                                                                                                                                                    
-a---l          21/04/25   1:59 PM          18225 AboutThis Project.md                                                                                                                                                                              
-a---l          19/04/25   8:48 PM           1309 main.tf # <---(This one need to run)

Clone repository for terraform code

💡 Note: Replace GitHub Token, resource names and variables as per your requirement in terraform code

• For github Repo Token value to be updated in file - 00.Code_IAC-github-repo/variables.tf (i.e default- xxxxxx*)

• For EC2 VM - 01.Code_IAC_Selfhosted-Runner-and-Trivy/terraform.tfvars (i.e keyname- MYLABKEY) - 03.Code_IAC_Terraform_box/terraform.tfvars (i.e keyname- MYLABKEY)

• For Cluster name - 03.Code_IAC_Terraform_box/k8s_setup_file/main.tf (i.e balraj*).

• For Node Pod - 03.Code_IAC_Terraform_box/k8s_setup_file/variable.tf (i.e MYLABKEY*)

Set up your GitHub token:

• Create a new GitHub personal access token with the repo scope at https://github.com/settings/tokens.

• Then set it as an environment variable (DO NOT commit your token to version control):

# For Linux/macOS
export GITHUB_TOKEN=your_github_token

# For Windows Command Prompt
set GITHUB_TOKEN=your_github_token

# For Windows PowerShell (I used this one)
# $env:GITHUB_TOKEN="your_github_token"
$env:TF_VAR_github_token = "your-github-personal-access-token"

Test and verify with curl again in powershell terminal:

$headers = @{
 Authorization = "token $env:TF_VAR_github_token"
}
Invoke-WebRequest -Uri "https://api.github.com/user" -Headers $headers

• You should see your GitHub user info in JSON, not "Bad credentials".

---

Step-by-Step Process

Setting Up the Infrastructure

I have created a Terraform code to set up the entire infrastructure, including the installation of required Repo, SonarQube Scanner, monitoring tools like grafana and prometheus, argocd and EKS cluster automatically created.

• ⇒ Docker Install

• ⇒ SonarQube Install

• ⇒ Trivy Install

• ⇒ Terraform Install

• ⇒ EKS Cluster Setup

💡 Note: ⇒ **EKS cluster** creation will take approx. 15 to 20 minutes.

To Create EC2 Instances

First, we'll create the necessary virtual machines using terraform code.

Below is a terraform Code:

Once you clone repo then go to folder "02.Github_Action_DevOps-Project/Terraform_Code_Infra_setup" and run the terraform command.

cd 01.Github_Action_DevOps-Project/Terraform_Code_Infra_setup

$ ls

 00.Code_IAC-github-repo/   01.Code_IAC_Selfhosted-Runner-and-Trivy/   02.Code_IAC_SonarQube/   03.Code_IAC_Terraform_box/  'AboutThis Project.md'   main.tf

💡 Note: ⇒ Make sure to run main.tf which is located outside of the folder. I have created the code in such a way that a single file will call all of the folders.

 ls -la
total 72
-rw-r--r-- 1 bsingh 1049089   493 Aug 20  2024  .gitignore
drwxr-xr-x 1 bsingh 1049089     0 Apr 21 12:34  00.Code_IAC-github-repo/
drwxr-xr-x 1 bsingh 1049089     0 Apr 21 12:34  01.Code_IAC_Selfhosted-Runner-and-Trivy/
drwxr-xr-x 1 bsingh 1049089     0 Apr 21 13:38  02.Code_IAC_SonarQube/
drwxr-xr-x 1 bsingh 1049089     0 Apr 21 12:34  03.Code_IAC_Terraform_box/
-rw-r--r-- 1 bsingh 1049089 21284 Apr 21 14:44 'AboutThis Project.md'
-rw-r--r-- 1 bsingh 1049089  1309 Apr 19 20:48  main.tf # <---This need to be run>

You need to run main.tf file using following terraform command.

Now, run the following command.

terraform init
terraform fmt
terraform validate
terraform plan
terraform apply 
# Optional <terraform apply --auto-approve>

---

Once you run the terraform command, then we will verify the following things to make sure everything is setup properly via a terraform.

Inspect the Cloud-Init logs:

Once connected to EC2 instance then you can check the status of the user_data script by inspecting the log files.

# Primary log file for cloud-init
sudo tail -f /var/log/cloud-init-output.log
                    or 
sudo cat /var/log/cloud-init-output.log | more

🔍- If the user_data script runs successfully, you will see output logs and any errors encountered during execution.

🔍- If there’s an error, this log will provide clues about what failed.

• Verify the Outcome of "cloud-init-output.log"

Verify the Installation on EC Terrabox-SVR

• [x] Docker version

ubuntu@ip-172-31-95-197:~$ docker --version
Docker version 24.0.7, build 24.0.7-0ubuntu4.1


docker ps -a
ubuntu@ip-172-31-94-25:~$ docker ps

• [x] trivy version

ubuntu@ip-172-31-89-97:~$ trivy version
Version: 0.55.2

• [x] Terraform version

ubuntu@ip-172-31-89-97:~$ terraform version
Terraform v1.9.6
on linux_amd64

• [x] eksctl version

ubuntu@ip-172-31-89-97:~$ eksctl version
0.191.0

• [x] kubectl version

ubuntu@ip-172-31-89-97:~$ kubectl version
Client Version: v1.31.1
Kustomize Version: v5.4.2

• [x] aws cli version

ubuntu@ip-172-31-89-97:~$ aws version
usage: aws [options] <command> <subcommand> [<subcommand> ...] [parameters]
To see help text, you can run:
  aws help
  aws <command> help
  aws <command> <subcommand> help

Verify the EKS Cluster installation

• Will take a putty session of from Terraform EC2

• On the terraform virtual machine, Go to directory k8s_setup_file and open the file cat apply.log to verify the cluster is created or not.

• Will verify the cluster status from

  • sudo cat /var/log/cloud-init-output.log | more or

  • cat /home/ubuntu/k8s_setup_file/apply.log

    

    ubuntu@ip-172-31-90-126:~/k8s_setup_file$ pwd
    /home/ubuntu/k8s_setup_file
    ubuntu@ip-172-31-90-126:~/k8s_setup_file$ cd ..

    kubectl get nodes

• After Terraform deploys on the instance, now it's time to setup the cluster. If you logout the ssh session then reconnect the SSH and run to following command:

    eksctl utils write-kubeconfig --cluster="$CLUSTER_NAME" --region="$REGION"
  

• Once EKS cluster is setup then need to run the following command to make it intract with EKS.

    eksctl utils write-kubeconfig --cluster="balraj-cluster" --region="us-east-1"
  

  

⚠️ Important:
The aws eks update-kubeconfig command is used to configure your local kubectl tool to interact with an Amazon EKS (Elastic Kubernetes Service) cluster. It updates or creates a kubeconfig file that contains the necessary authentication information to allow kubectl to communicate with your specified EKS cluster.

What happens when you run this command:
The AWS CLI retrieves the required connection information for the EKS cluster (such as the API server endpoint and certificate) and updates the kubeconfig file located at ~/.kube/config (by default). It configures the authentication details needed to connect kubectl to your EKS cluster using IAM roles. After running this command, you will be able to interact with your EKS cluster using kubectl commands, such as kubectl get nodes or kubectl get pods.

kubectl get nodes
kubectl cluster-info
kubectl config get-contexts

---

Verify GitHub Repo and GitHub Actions

• Verify GitHub repository created and initialize it because we are using terraform.

  

• Verify a .github/workflows directory created along with two YAML file for the pipeline.

  

Adding a Virtual Machine as a Runner

• I'll be using self-hosted runner to execute all the pipeline.

• Configure the runner by following the commands provided in GitHub's settings.

       Go to "GithubAction_DevOps_Projects"
       Click on settings
       then select the actions and choose "runners"
  

• Click on new self-hosted runner and select Linux

• Notedown the token value somewhere as we need to in runner VM.

  

• Take putty session of runner EC2

• Go to actions-runner folder

  

• Update/Paste the token value here as mentioned in screenshot.

  

• Change the execution mode for script and run it.

• chmod +x selfhost-runner.sh

💡 Note:

Take note of the token value from here and paste it into the script in runner at the following spot. This ensures that the script executes successfully with the necessary permissions. Once you've finished, save your modifications and run the script to test whether it works as planned.

Troubleshooting:

• I am getting below error message while execute the file.

  

Fix/Solution:

• I try explicitly invoking the bash interpreter:

    bash ./selfhost-runner.sh
  

• The solution is to remove these carriage return characters using the dos2unix command:

  1. Install dos2unix if you haven't already:

    sudo apt-get update
    sudo apt-get install dos2unix

2. Run dos2unix on selfhost-runner.sh script:

    dos2unix selfhost-runner.sh

3. Try running the script again:

    ./selfhost-runner.sh

💡 Idea: This should now execute correctly because the problematic carriage return characters will have been removed

It works :-) and I am able to execute the file.

Setup SonarQube

• Go to SonarQube EC2 and notedown the Public IPAddress and open a new browser.

• Access SonarQube via http://<your-server-ip>:9000.

  

  

💡 Note: When you access the above URl then it will be promot for login. Use the "admin/admin" for first time login and will prompt for change the password Once you change the password, make sure to create a strong and secure one that you can remember. Afterward, you will have full access to the system's features and settings.

Create a token in SonarQube

• Go to Administration\>Security\>Users\>Create a new token

Configure Secrets and Variables in GitHub Repo.

Go to Repo `GithubAction_DevOps_Projects`
            Click on `settings` > `Secrets and Variables` > Select `Actions`.

💡 Note:

You have to update all the required tokens and secrets value here. Part of Terraform code, I have already created a dummy values, which needs to be replaced. Once you have replaced the dummy values with the actual tokens and secrets, ensure that you test the configuration thoroughly to confirm that everything functions as expected. This will help prevent any issues during deployment and maintain the integrity of your infrastructure.

• To update the EKS_KUBECONFIG secret

  • Take putty session of Terraform EC2 instnace

  • run the command cat ~/.kube/config

  • copy the whole content and paste into the secret.

    

Attach Role to Runner EC2

• Select the EC2 VM and click on the actions > security\> Mofify IAM Roles on the runner.

  

• Select the role Role_k8_Cluster_profile

  

• Click on update IAM Role.

Writing the CI/CD Pipeline

• Compile Stage:

  • Use actions/checkout to clone the repository.

  • Set up the required environment (e.g., JDK 17 for Java projects).

  • Compile the application using build tools like Maven.

• Security Checks:

  • Install and run Trivy to scan for vulnerabilities in Docker images.

  • Use GitLeaks to detect hardcoded secrets in the source code.

• Unit Testing:

  • Execute test cases to validate the application.

• Build and Publish Docker Image:

  • Build a Docker image using docker build.

  • Push the image to a container registry or upload it as an artifact.

• Deploy to Kubernetes:

  • Use Terraform to provision an EKS cluster.

  • Deploy the application using Kubernetes manifests.

• Here is the complete CICD- Pipeline details

Verify the Docker Image

Verify code coverage in SonarQube

Verify pipeline Status

Verify the pods status from runner VM

ubuntu@ip-172-31-5-61:~$ kubectl get nodes
NAME                         STATUS   ROLES    AGE   VERSION
ip-10-0-3-164.ec2.internal   Ready    <none>   57m   v1.32.1-eks-5d632ec
ip-10-0-4-227.ec2.internal   Ready    <none>   58m   v1.32.1-eks-5d632ec
ubuntu@ip-172-31-5-61:~$ kubectl get all
NAME                                       READY   STATUS    RESTARTS   AGE
pod/boardgame-deployment-99f486879-q6twl   1/1     Running   0          27m
pod/boardgame-deployment-99f486879-wnkqj   1/1     Running   0          27m

NAME                     TYPE           CLUSTER-IP       EXTERNAL-IP                                                              PORT(S)        AGE
service/boardgame-ssvc   LoadBalancer   172.20.232.244   ab89f017a0d0c415a8d64e42810e63a4-389987165.us-east-1.elb.amazonaws.com   80:31107/TCP   27m
service/kubernetes       ClusterIP      172.20.0.1       <none>                                                                   443/TCP        64m

NAME                                   READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/boardgame-deployment   2/2     2            2           27m

NAME                                             DESIRED   CURRENT   READY   AGE
replicaset.apps/boardgame-deployment-99f486879   2         2         2       27m

Verify Application Status

• Notedown the cluster IP address from above command and run it in browser.

  

Setup ArgoCD

• Run the following commands to verify the Pods and services type in terraform EC2

kubectl get pods -n argocd

kubectl get svc -n argocd

kubectl get pods -n prometheus

kubectl get service -n prometheus

• validate ArgoCD and Grafana access on browser.

Access ArgoCD

• run the following command to get URL of ArgoCD

ubuntu@bootstrap-svr:~$ kubectl get svc -n argocd
NAME                                      TYPE           CLUSTER-IP       EXTERNAL-IP                                                               PORT(S)                      AGE
argocd-applicationset-controller          ClusterIP      172.20.167.221   <none>                                                                    7000/TCP,8080/TCP            66m
argocd-dex-server                         ClusterIP      172.20.158.1     <none>                                                                    5556/TCP,5557/TCP,5558/TCP   66m
argocd-metrics                            ClusterIP      172.20.168.248   <none>                                                                    8082/TCP                     66m
argocd-notifications-controller-metrics   ClusterIP      172.20.67.200    <none>                                                                    9001/TCP                     66m
argocd-redis                              ClusterIP      172.20.2.127     <none>                                                                    6379/TCP                     66m
argocd-repo-server                        ClusterIP      172.20.162.115   <none>                                                                    8081/TCP,8084/TCP            66m
argocd-server                             LoadBalancer   172.20.184.179   a05d8113a21ea47e0ad6499f45767594-1028681490.us-east-1.elb.amazonaws.com   80:32509/TCP,443:32733/TCP   66m
argocd-server-metrics                     ClusterIP      172.20.152.24    <none>                                                                    8083/TCP                     66m

• To get the login credential for argocd.

tail -n 200 /var/log/cloud-init-output.log | grep "ArgoCD Initial Password"

Configure Application in ArgoCD

Once you access the ArgoCD URL and create an application

• Application Name: boardgame-app

• Project Name: default

• Sync Policy: Automatic (Select Prune Resources and SelfHeal)

• Repository URL: https://github.com/mrbalraj007/GithubAction_DevOps_Projects.git

• Revison: main

• Path: . (where Kubernetes files reside)

• cluster URL: Select default cluster

• Namespace: default

• Try to change something in deployment.yml (i.e Replica to 2 from 5))

• Verify the apps Status

• Verify Pods & service status

Click on the hostnames (URL details) from the service and access it in the browser.

ab89f017a0d0c415a8d64e42810e63a4-389987165.us-east-1.elb.amazonaws.com

Congratulations :-) the application is working and accessible.

Setup Monitoring using Prometheus/Grafana

• Will run the following command to get a URL of Grafana

ubuntu@bootstrap-svr:~$ tail -n 200 /var/log/cloud-init-output.log | grep "You can access Grafana at: "
You can access Grafana at: http://ab1f9e98b0d4b40dc84beed46f7c20ad-854431452.us-east-1.elb.amazonaws.com

• Get Grafana 'admin' user password by running:

  kubectl --namespace prometheus get secrets stable-grafana -o jsonpath="{.data.admin-password}" | base64 -d ; echo

• Access Prometheus/Grafana and create a custom dashboard in Prometheus/Grafana.

Dashboard in Grafana

---

Setup Notification in Slack

1. Create a channel for Slack

1. Go to your Slack workspace and create a new channel

   • Visit: https://api.slack.com/apps

   • Click "Create New channel" > "From scratch"

     

     

   • Click on Blank Channel and next

     

   • Name your channel (e.g., "GitHub Actions Notifier") and select private and create it.

     

   • It will ask for adding email address and skip for now.

     

2. Create a app for Slack

1. Go to your Slack workspace and create a new app (or use an existing one):

   • Visit: https://api.slack.com/apps

   • Click "Create New App" > "From scratch"

     

     

   • Name your app (e.g., "GitHub Actions Notifier")

   • Select your workspace i.e ("Jenkins_Notification")

     

3. Set Slack App Permissions

• In your app dashboard:

• Go to OAuth & Permissions.

  

• Scroll to Scopes:

  • Under Bot Token Scopes, add:

    • chat:write → Allows the bot to post messages.

    • chat:write.public → (Optional) Allows posting in public channels without being invited.

    • Files:write → To be able to write to the slack channel

      

4. Configure Slack Incoming Webhook

1. Set up Incoming Webhooks:

   • Under "Add features and functionality", select "Incoming Webhooks"

   • Toggle "Activate Incoming Webhooks" to On

   • Click "Add New Webhook to Workspace"

   • Choose the "aws-cost-notification" channel

   • Copy the Webhook URL that is generated

   • Go to https://api.slack.com/apps

     

     

     

     

     

     

     

   • Invite the Bot in Slack Channel /invite @AWS Cost Notifier and click on send

     

5. Add Webhook URL to GitHub Repository Secrets

1. In your GitHub repository, go to "Settings" > "Secrets" > "Actions"

2. Select "secret" ,Name: SLACK_WEBHOOK_URL

3. Value: Paste the webhook URL from the previous step

4. Click "Add secret"

6. Workflow Execution

The workflow will run:

• When code is pushed to the main branch

• When a pull request is made to the main branch

• Manually via the "Actions" tab in GitHub

Customization in Slack webhook

You can customize the notification message by modifying the custom_payload in the .github/workflows/slack.yml file.

The SLACK_WEBHOOK_URL in your workflow file refers to a webhook URL that needs to be stored as a GitHub Actions secret. This is not an actual URL in the file, but a reference to a secret value.

To set up a Slack webhook URL:

1. Go to your Slack workspace and create an incoming webhook:

   • Visit https://api.slack.com/apps

   • Create a new app or use an existing one

   • Enable "Incoming Webhooks"

   • Add a new webhook to a specific channel

   • Copy the webhook URL provided (looks like: https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX)

2. Add this webhook URL as a GitHub repository secret:

   • Go to your GitHub repository

   • Navigate to Settings > Secrets and variables > Actions

   • Click "New repository secret"

   • Name: SLACK_WEBHOOK_URL

   • Value: paste the webhook URL from Slack

   • Click "Add secret"

• Your workflow will then use this secret value when sending notifications to Slack. The actual URL is kept secure and not visible in your workflow file.

• Once the pipeline is executed successfully, then get the below notification in Slack. This notification will provide details about the execution status, including any errors or warnings that may have occurred during the process. Additionally, it will outline the next steps to take if further action is required.

Final Status of Pipeline

Environment Cleanup:

• Following resouces are created as part of this project.

  

To delete deployment:

• I've created a Github Action to destroy the Kubernetes deployment and services.

  • Delete all deployment/Service:

    • In github action, and click on the second pipeline to delete the deployment and service.

    • Here is the complete CICD- Pipeline to destroy Deployment and Services

To delete AWS EKS cluster

• Login into the Terraform EC2 instance and change the directory to /k8s_setup_file, and run the following command to delete the cluster.

  •   sudo su - ubuntu
      cd /k8s_setup_file
      sudo terraform destroy --auto-approve
    

Troubleshooting:

• I am getting below error message while running the Terraform destroy.

  

Fix/Solution:

• I noticed that permission is set to root for terraform dirctory. we have to take ownership first and then try to delete it.

  

• Run the following command to take ownership

    sudo chown -R ubuntu:ubuntu /home/ubuntu/k8s_setup_file/.terraform*
  

• I was still getting error message while runing the desrtoy

  

• I ran the following command again for entire terraform folder.

    sudo chown -R ubuntu:ubuntu /home/ubuntu/k8s_setup_file/terraform*
  

• Rerun the destroy command and this time it works :-)

To delete the Virtual machine.

Go to folder "02.Github_Action_DevOps-Project/Terraform_Code_Infra_setup" and run the terraform command.

• 00.Code_IAC-github-repo

• 01.Code_IAC_Selfhosted-Runner-and-Trivy - 02.Code_IAC_SonarQube

• 03.Code_IAC_Terraform_box

    Terraform destroy --auto-approve
  

💡 Note:

You must use this command from each folder in order to destroy the entire infrastructure.

Troubleshooting:

• I am getting below error message while running the Terraform destroy.

  

Fix/Solution:

• I need to delete the all Load balancer

• Again, I am getting the below error message and noticed that the security group is stopping me from deleting it. So, when I delete the VPC and try to run the destroy command again. This time it works.

  

---

Why Use This Project

• Automation: Reduces manual effort in building, testing, and deploying applications.

• Security: Ensures code and container security through automated scans.

• Scalability: Deploys applications to scalable Kubernetes clusters.

• Best Practices: Demonstrates industry-standard CI/CD practices.

---

Project Challenges

Technical Complexity

• Coordinating multiple tools and technologies in a cohesive pipeline

• Ensuring proper authentication between services (GitHub, Docker Hub, Kubernetes)

• Managing Kubernetes RBAC for secure but sufficient permissions

• Configuring Prometheus targets with proper scraping intervals

Integration Points

• Bridging self-hosted runner with GitHub Actions ecosystem

• Connecting pipeline stages with appropriate artifact handoffs

• Ensuring monitoring tools receive metrics from all components

• Managing secrets securely across multiple services

Infrastructure Management

• Provisioning right-sized VMs for each component

• Configuring network security for appropriate access

• Ensuring high availability for critical components

• Managing resource consumption across the stack

Project Benefits

Development Workflow

• Automated quality gates prevent problematic code from reaching production

• Developers receive immediate feedback on code quality and security

• Clear visibility of deployment status and application health

• Reduced manual intervention in deployment processes

Operational Excellence

• Real-time monitoring of application and infrastructure

• Early detection of performance degradation or failures

• Ability to correlate infrastructure metrics with application behavior

• Historical metrics for capacity planning and optimization

Security Enhancements

• Vulnerability scanning at multiple levels (code, container)

• Principle of least privilege through RBAC implementation

• Secure secret management across the pipeline

• Audit trail of deployments and changes

Business Value

• Faster time-to-market for new features and bug fixes

• Improved application reliability and performance

• Reduced operational overhead through automation

• Better resource utilization through monitoring insights

Conclusion

This project demonstrates a comprehensive DevOps implementation that bridges the gap between development and operations through automation, monitoring, and security best practices. The pipeline not only streamlines the deployment process but also ensures quality and security at every step.

By implementing this solution, organizations can achieve:

1. Increased Deployment Frequency: Automation reduces the friction in deploying new code

2. Improved Quality Assurance: Integrated testing and scanning prevent defects

3. Enhanced Operational Visibility: Comprehensive monitoring provides insights

4. Better Developer Experience: Streamlined workflows with immediate feedback

The modular nature of the implementation allows organizations to adapt specific components to their needs while maintaining the overall workflow integrity. As container orchestration and cloud-native technologies continue to evolve, this pipeline architecture provides a solid foundation that can be extended to incorporate emerging tools and practices.

Ref Link:

• Youtube VideoLink

• Clearfile-content cache in visualstudio code

• Managing-GitHub-access-tokens

• GitHub Actions Markget Place

• Download-a-build-artifact

• Upload-a-build-artifact