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Automated Application Delivery Pipeline for Multi-Environment Deployment of an Enterprise Supply Chain Application

Description

This project is about automating the deployment of an enterprise supply chain application across multiple environments, such as development, testing, staging, and production. The system automatically builds, tests, packages, and deploys application updates using DevOps tools. It reduces manual deployment work, keeps environments consistent, detects configuration differences, and helps release new versions with minimal or zero downtime.

Aim

To build an automated application delivery pipeline using GitLab CI/CD, ArgoCD, and Helm to deploy the supply chain application across multiple environments while reducing manual work and configuration errors.

Objectives

01 Automate the software build, testing, and deployment process.
02 Deploy application changes automatically across development, staging, and production.
03 Use GitOps to keep application configurations synchronized with the running environments.
04 Package the application using Helm for consistent deployments.
05 Use automation to configure servers and environments.
06 Monitor deployment status and application health.

Application Workflow

01

Stage 1 – User Login

Process

Supply chain employees log into the application to access supply chain operations.

Tools
Keycloak PostgreSQL
Implementation

The user enters their credentials. The application authenticates the user and provides access according to their role, such as warehouse operator, procurement officer, or supply chain manager.

02

Stage 2 – Supplier Management

Process

The procurement team manages supplier information.

Tools
PostgreSQL
Implementation

Users can add, update, and view supplier details such as supplier name, contact information, products supplied, and supplier status.

03

Stage 3 – Purchase Order Management

Process

The procurement team creates and manages purchase orders.

Tools
PostgreSQL
Implementation

The user selects a supplier, adds required products and quantities, and creates a purchase order. The application stores the order and tracks its status.

04

Stage 4 – Inventory Management

Process

The application tracks the quantity and availability of products.

Tools
PostgreSQL
Implementation

When goods are received or issued, the application updates inventory quantities and maintains the current stock information.

05

Stage 5 – Shipment Tracking

Process

The application tracks shipments from suppliers to warehouses.

Tools
PostgreSQL
Implementation

Users can view shipment details such as shipment ID, supplier, expected delivery date, current status, and destination warehouse.

06

Stage 6 – Goods Receiving

Process

Warehouse staff receive goods delivered from suppliers.

Tools
PostgreSQL
Implementation

The warehouse employee verifies the received products against the purchase order. After verification, the application updates the inventory and marks the received items.

07

Stage 7 – Order Fulfillment

Process

The warehouse prepares products for customer or business orders.

Tools
PostgreSQL
Implementation

The application checks product availability, reserves the required stock, and updates the order and inventory status.

08

Stage 8 – Supply Chain Reports

Process

Managers view supply chain performance and operational information.

Tools
PostgreSQL
Implementation

The application generates information such as inventory levels, pending purchase orders, supplier activity, shipment status, and fulfilled orders.

Cloud Infrastructure and Tools

Continuous Delivery Tool GitLab CI/CD

Automatically builds, tests, and packages the application whenever developers make changes.

GitOps Deployment Tool ArgoCD

Automatically deploys the desired application configuration from Git to the target environment. It also detects configuration differences between Git and the running system.

Application Packaging Tool Helm

Packages the application and its Kubernetes configuration into reusable Helm charts. This makes it easier to deploy the same application to different environments.

Configuration Automation Tool Ansible

Automatically configures servers, installs required software, and applies system settings using playbooks.

Containerization Tool Docker

Packages the application and its dependencies into containers so that the application runs consistently in different environments.

Compute Resource Cloud EC2

Provides virtual servers to run the GitLab runners, deployment tools, and application environments.

Operating System Ubuntu Server

Provides the Linux operating system for the EC2 servers.

Networking Resource Cloud VPC

Provides a private network for the application and separates public and private resources.

Security Controls & Firewalls Cloud Security Groups + Network ACLs

These control which network traffic is allowed to reach the servers and help protect the application from unauthorized access.

Storage Resource Cloud EBS

Provides storage attached to the EC2 servers for the operating system, application files, and pipeline logs.

Implementation Process

01
Step 1 – Check the Application and Deployment Settings
  • Review the supply chain application code and its dependencies to understand how the application communicates with other systems.
  • Define separate settings for Development, Staging, and Production, including the different connection details and API keys.
  • Create Helm charts to define how the application should be deployed in each environment.
  • Document all required environment settings before starting the automation.
02
Step 2 – Create the Cloud Environments
  • Create a Cloud VPC with public and private network sections.
  • Create Cloud EC2 servers using Ubuntu Server 24.04 LTS for the different environments.
  • Attach Cloud EBS storage to the EC2 servers for application files, deployment information, and logs.
  • Configure Cloud Security Groups to control network access and protect the servers.
03
Step 3 – Automate Server Setup and Application Builds
  • Use Ansible to automatically install required software and configure the Ubuntu servers.
  • Create Dockerfiles to package the supply chain application and its dependencies into Docker containers.
  • Create GitLab CI/CD pipelines to automatically check, build, and test the application whenever code is changed.
  • Store the successfully built container images in a secure container registry with unique version tags.
04
Step 4 – Deploy Using GitOps
  • Install and configure ArgoCD using Helm.
  • Connect ArgoCD to the Git repository that contains the application's deployment configuration.
  • Configure ArgoCD to deploy the application to Development, Staging, and Production.
  • Start the first synchronization and verify that ArgoCD gets the required configuration and container images and deploys the application correctly.
05
Step 5 – Monitor and Test the Deployment
  • Connect GitLab and ArgoCD monitoring information to dashboards to track deployments and configuration changes.
  • Change a setting manually and verify that ArgoCD detects the change and restores the configuration from Git.
  • Make a new application change and verify that GitLab builds it and ArgoCD performs a rolling update without stopping the application.
  • Update the DNS Provider to point the company domain to the new application environment.

Proposed Solution

The proposed solution provides an automated application delivery system using GitLab CI/CD, ArgoCD, Helm, Docker, and Ansible. The application runs on Cloud EC2 servers with Ubuntu, inside a secure Cloud VPC. Docker packages the application, GitLab automatically builds and tests it, and ArgoCD deploys it to Development, Staging, and Production. Helm manages deployment configurations, while Ansible automates server setup. ArgoCD continuously checks whether the running environments match the configurations stored in Git and automatically corrects unwanted changes. This provides automated deployments, consistent environments, configuration drift protection, and minimal downtime during releases.

Benefits

Less configuration drift: ArgoCD detects unwanted changes and restores the correct configuration from Git.
Less manual work: GitLab CI/CD automatically builds, tests, and deploys application changes.
Consistent environments: Helm provides common deployment templates for Development, Staging, and Production.
Minimal downtime: Rolling updates allow new application versions to be deployed while the existing version is still running.
Automated server configuration: Ansible installs software and configures servers automatically.

Challenges

GitOps synchronization delays: Multiple changes at the same time can create delays during deployment synchronization.
Complex Helm configurations: Managing different settings for Development, Staging, and Production can become complicated.
Secret management: Passwords, API keys, and other sensitive information must be securely stored and must not be exposed in the Git repository.
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