Stable Application
Eliminated critical errors, ensuring smooth operation and reliable integration of new features.
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
Challenge 01
Unstructured Architecture
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.
#1
Challenge 02
Absence of Testing
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.
#2
Challenge 03
Undefined Roadmap
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.
#3
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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Inquire for more infoSolution
01
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
02
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
03
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
Results & business impact
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.
