Automated Deployment of Financial App

Services provided on this Project

Cloud Consulting & SI
DevOps Managed Services
Mobile App Development
AWS Architecture Diagram

Problem Statement

The challenge was to create a streamlined, automated, and scalable deployment process for a Python-based financial application. The goal was to ensure efficient CI/CD pipelines, secure container image management, high availability, scalability, and reduced downtime and operational costs.

CLIENT

Topflight Apps

PROJECT SCHEDULE

Jan 2025 — Mar 2025

PROJECT SIZE

$10,000 to $49,999

Proposed Solution

Automating deployment using GitLab CI/CD, Docker, and AWS Code is stored in GitLab, triggering builds, tests, and deployments. Application is containerized with Docker, and images are stored securely in AWS ECR. Deployed and managed containers for scalability and high availability, while Route 53 handles DNS.

Solution Illustration

This approach minimizes downtime, ensures secure storage, and offers cost-effective scalability with continuous zero-downtime updates.

Core tech stack we work with

Leveraging the Leading Programming Languages and Frameworks to Deliver Reliable, Scalable Solutions.

Docker
GitLab
AWS
Google Cloud

Outcomes & Success Metrics

Significant reduction in scam calls, improved uptime, enhanced scalability, and efficient AI integration.

Deployment Process

Faster, secure, and scalable deployment process

High Availability

Zero-downtime deployments with high availability via AWS ECS and Route 53

Image Storage

Secure image storage in AWS ECR

Cost Efficiency

Improved cost-efficiency with AWS's pay-as-you-go model

Lessons Learned
Key lessons include the value of automation through GitLab CI/CD and Docker, which reduced manual effort and errors. Leveraging AWS services demonstrated scalability and cost-effectiveness compared to on-premise hardware. Storing Docker images in AWS ECR ensured better security, and continuous updates to the CI/CD pipeline improved performance and reliability over time.