What were the main challenges with the Shopify app?

The app had an unstructured microservice architecture, lack of automated testing, unclear development roadmap, and frequent errors affecting stability.

How did Azati improve the architecture?

Azati refactored the microservice-heavy system into a streamlined monolithic architecture with clear responsibilities for each component, while retaining the Rails backend and Vue.js frontend.

What testing and deployment improvements were implemented?

Automated testing pipelines and CI/CD processes were introduced to ensure each Pull Request underwent rigorous quality checks, improving reliability and reducing errors.

What new features enhanced customer engagement?

A small Vue.js app for stores was implemented to deliver dynamic pop-up notifications to visitors, increasing interaction and boosting sales.

How did the improvements impact performance?

The app became stable and scalable, capable of handling high traffic during peak events like Black Friday, while allowing smooth integration of new features.

Stabilizing and Enhancing a Global E-commerce App for Shopify Stores

Azati’s team modernized a public app for Shopify stores, enhancing stability, performance, and customer engagement through improved architecture and customizable features.

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99%

crash-free stability

faster feature release cycle

45%

increase in merchant engagement

All Technologies Used

ClickHouse

PostgreSql

AWS RDS

Ruby on Rails

RSpec

VCR

Multiple Database Support

Vue.js

AWS Lambda (Serverless Framework)

Node.js

TypeScript

GraphQL

Shopify API

Motivation

The primary goal was to stabilize and enhance a Shopify app by addressing architectural inefficiencies, reducing errors, and implementing a robust testing system. The project aimed to improve scalability, streamline operations, and boost sales through innovative features like customizable pop-up notifications.

Main Challenges

The unclear microservice architecture and lack of documentation complicated the development process, requiring nearly a month to create detailed installation guides and establish a solid foundation for future work. Azati proposed refactoring the system into a streamlined monolithic architecture to simplify maintenance and improve clarity.

Without automated testing, minor changes frequently caused instability and errors. Azati implemented CI/CD pipelines with automated tests to ensure that every Pull Request underwent rigorous quality assurance, significantly increasing reliability.

The absence of a clear roadmap slowed down prioritization and development. Azati collaborated with stakeholders to define development plans, enabling efficient workflow, smoother integration of new features, and clear tracking of progress.

Our Approach

Documentation and Local Development Setup

Created detailed installation guides and established a test environment to simplify development processes and ensure clarity for future changes.

Testing and CI/CD Implementation

Introduced automated testing pipelines and continuous integration/deployment processes, ensuring every Pull Request underwent rigorous quality checks.

Collaboration with Management

Worked closely with stakeholders to define development plans, roadmap, and priorities, preparing the system for upcoming changes.

Pricing Policy Adjustment

Reviewed and refined the app’s pricing policy to retain customers while addressing critical bugs, ensuring smoother transition during the improvement phase.

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Solution

Streamlined Application Architecture

Refactored the existing microservice-heavy architecture into a more efficient monolithic system, defining clear responsibilities for each component. This simplifies maintenance, enhances stability, and ensures consistent performance under high load.

Key capabilities:

Clear component responsibilities
Elimination of redundant services
Improved maintainability
Scalable foundation for future features

Technology Stack Optimization

Maintained Rails API backend for reliable data transfer, Vue.js for admin frontend, and AWS Lambda for high-load tasks, optimizing performance and reducing operational complexity.

Key capabilities:

Rails API backend for robust data handling
Vue.js frontend for dynamic administration
AWS Lambda for serverless high-load processing
Multiple database support for flexible storage

Customizable Customer Engagement Features

Implemented a Vue.js store app for dynamic pop-up notifications to visitors, increasing interaction, customer satisfaction, and sales.

Key capabilities:

Real-time dynamic notifications
Customizable messages and triggers
Integration with backend analytics
Enhanced customer interaction and retention

Business Value

Stable Application: Eliminated critical errors, ensuring smooth operation and reliable integration of new features.

Scalability: The system now effectively handles peak loads during high-traffic events like Black Friday or Cyber Monday.

Improved User Engagement: Dynamic notifications increased customer interaction and boosted sales.

Enhanced Development Efficiency: Clear documentation, robust architecture, and automated testing streamlined future development and maintenance.

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Stabilizing and Enhancing a Global E-commerce App for Shopify Stores

All Technologies Used

Motivation

Main Challenges

Our Approach

Want a similar solution?

Solution

Streamlined Application Architecture

Technology Stack Optimization

Customizable Customer Engagement Features

Business Value

Ready To Get Started

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