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Automated Testing and Continuous Delivery Pipeline for a Microservices-Based Healthcare Application

Description

This project is about building an automated CI/CD pipeline for a microservices-based healthcare application. It automatically builds, tests, validates, packages, and deploys the application across Development, Staging, and Production environments using Tekton, Kustomize, Jenkins, Ansible, and Docker. If any test or validation fails, the pipeline stops the deployment to prevent faulty changes from reaching production.

Aim

To design and implement a secure, automated continuous delivery pipeline using Tekton, Kustomize, Jenkins, Ansible, and Docker to build, test, configure, and deploy a microservices-based healthcare application across multiple environments.

Objectives

01 Automate the building and testing of healthcare microservices.
02 Use Tekton to run CI pipelines in isolated container environments.
03 Use Kustomize to manage Development, Staging, and Production configurations.
04 Use Jenkins to control and automate application deployments.
05 Use Ansible to automate server setup and configuration.
06 Use Docker to package microservices with their required dependencies.
07 Stop deployments automatically when tests or validation checks fail.
08 Monitor build, testing, and deployment activities through a centralized dashboard.

Application Workflow

01

Stage 1 – Patient Registration and Login

Process

A patient creates an account and logs into the healthcare application.

Tools
Keycloak PostgreSQL
Implementation

The patient provides their personal details and login credentials. The application authenticates the patient and creates their profile.

02

Stage 2 – Doctor Search

Process

The patient searches for available doctors based on specialization.

Tools
PostgreSQL
Implementation

The application retrieves doctor information such as name, specialization, availability, and location and displays the matching doctors.

03

Stage 3 – Appointment Booking

Process

The patient selects a doctor and books an appointment.

Tools
PostgreSQL
Implementation

The patient selects an available date and time. The Appointment Service verifies availability and creates the appointment.

04

Stage 4 – Doctor Consultation

Process

The doctor views the patient's appointment and records consultation information.

Tools
PostgreSQL
Implementation

The doctor accesses the patient's relevant information and records consultation notes, diagnosis, and other required medical information.

05

Stage 5 – Medical Record Management

Process

The application stores and retrieves the patient's medical records.

Tools
PostgreSQL
Implementation

After the consultation, the application stores the medical record and allows authorized users to retrieve previous medical information.

06

Stage 6 – Prescription Management

Process

The doctor creates a prescription for the patient when required.

Tools
PostgreSQL
Implementation

The doctor enters medicines, dosage, and instructions. The application stores the prescription and associates it with the patient's medical record.

07

Stage 7 – Appointment and Prescription Notification

Process

The patient receives notifications about appointments and prescriptions.

Tools
PostgreSQL
Implementation

The application generates notifications for events such as appointment confirmation, upcoming appointments, cancellations, and prescription availability.

08

Stage 8 – Healthcare History

Process

The patient views their previous healthcare information.

Tools
PostgreSQL
Implementation

The application retrieves authorized information such as previous appointments, consultation records, prescriptions, and medical history and displays it to the patient.

Cloud Infrastructure and Tools

Cloud-Native Pipeline Engine Tekton

Runs automated build, testing, packaging, and validation tasks. It executes pipeline tasks inside isolated containers and controls the pass/fail stages.

Container Orchestration Engine Kubernetes

Manages and runs the healthcare microservices across multiple servers. It controls containers, separates applications using namespaces, helps services communicate with each other, and automatically restarts failed application components to keep the system running.

Continuous Orchestration Controller Jenkins

Controls the software delivery process. It manages deployment stages, triggers deployments, runs post-deployment tests, and moves applications between environments.

Environment Template Manager Kustomize

Manages different configurations for Development, Staging, and Production. It uses a common base configuration with environment-specific overlays.

Configuration Automation Tool Ansible

Automates server setup and configuration. It installs required packages, prepares system directories, and configures the servers before application deployment.

Microservices Container Platform Docker

Packages healthcare application components and their dependencies into lightweight containers so they can run consistently across different environments.

Target Compute Clusters Cloud EC2 Instances

Virtual servers used to host Tekton pipelines, Jenkins, application services, and different deployment environments.

Server Operating System Substrate Ubuntu Server 24.04 LTS

The common operating system installed on the EC2 servers to provide a stable and consistent environment.

Target Cloud Networking Plane Cloud VPC

Provides the private cloud network and separates public access from private application and pipeline resources.

Security Controls & Firewalls Cloud Security Groups + Network ACLs

Control network access and protect the application, pipeline, and server environments from unauthorized connections.

Target Cloud Storage Interface Cloud EBS

Provides persistent storage for operating system files, application data, deployment information, and pipeline logs.

Implementation Process

01
Step 1 – Check Software Modules and Data
  • Review the healthcare microservices code, database connections, and dependencies to understand how the services communicate and how EHR data is structured.
  • Define the environment settings and identify how database connections and healthcare compliance settings change between Development, Staging, and Production.
  • Create basic Kustomize templates and environment-specific configuration files.
  • Document the required network, storage, and routing settings before starting the automation.
02
Step 2 – Create the Multi-Environment Cloud Infrastructure
  • Create an isolated Cloud VPC with secure entry areas and private application subnets.
  • Launch Cloud EC2 instances using Ubuntu Server 24.04 LTS for the different application environments.
  • Attach Cloud EBS storage to the Ubuntu servers for application files, deployment information, and pipeline logs.
  • Configure Cloud Security Groups to control access and prevent internal systems from being directly exposed to the public internet.
03
Step 3 – Automate Server Setup and Build Process
  • Use Ansible playbooks to connect securely to the Ubuntu servers, install required packages, and prepare the systems.
  • Create Dockerfiles to package the healthcare application code, database connectors, and required libraries into Docker containers.
  • Create Tekton pipeline tasks for the automated build process.
  • Configure Tekton to compile the code, run integration tests, and build Docker images whenever approved code is pushed.
04
Step 4 – Configure Jenkins and Deploy the Application
  • Install and configure the Jenkins controller on a designated EC2 server to receive successful Tekton build results and trigger deployments.
  • Connect Jenkins to the Kustomize repository so it can create the correct configuration for each environment.
  • Configure secure communication and protect database credentials and sensitive healthcare data during deployment.
  • Run an initial deployment test and verify that Jenkins retrieves the correct configurations and deploys the application to the Development environment.
05
Step 5 – Monitor and Test the Deployment
  • Connect Tekton and Jenkins to monitoring dashboards to track pipeline progress, test results, and environment health.
  • Test the failure-handling process by introducing an invalid database schema or EHR format and verify that Tekton detects the problem and stops the build.
  • Test a successful application update and verify that Tekton builds the application and Jenkins deploys it across the required environments without downtime.
  • Update the DNS Provider to point the application domain to the new cloud gateway when the deployment is ready for production.

Proposed Solution

The proposed solution provides an automated continuous delivery system using Tekton, Kustomize, Jenkins, Ansible, and Docker. It replaces manual deployment with automated build, testing, configuration, and deployment processes running on Cloud EC2 instances with Ubuntu Server 24.04 LTS inside a Cloud VPC. Docker packages the healthcare application into containers, while Kustomize manages configurations for Development, Staging, and Production. Tekton builds and tests the application, and Jenkins manages the deployment process across environments. Ansible automates server setup and configuration. Monitoring dashboards provide visibility into pipeline status, test results, and deployment health.

Benefits

Isolated Automated Testing: Tekton runs builds and tests in separate container environments, reducing conflicts between testing tasks.
Consistent Environment Configuration: Kustomize keeps the same base configuration while allowing different settings for Development, Staging, and Production.
Reduced Manual Deployment Errors: Jenkins automates the build and deployment process, reducing mistakes caused by manual work.
Better Compliance Checking: Automated testing and validation help ensure that healthcare data structures and interfaces are checked before production deployment.
Automated Server Configuration: Ansible automatically installs packages and configures servers, reducing infrastructure configuration errors.

Challenges

Managing Kustomize Configuration: Handling different configuration values and overrides across multiple environments can become complex.
High Tekton Workload: Running many pipelines at the same time can increase resource usage on the compute servers.
Protecting Sensitive Credentials: Database passwords, encryption keys, and access tokens must be securely stored and passed through the pipeline without exposing them in source code.
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