GCP Infrastructure Optimization, DB Migration & Backend Development for Ferret AI
Services Covered:

Information Technology
2 months
Confidential
1 July 2024
1-5 Employees
Offshore
Project Capability Score (PCS)
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Client
Ferret AI
Project Summary
Key Challenges
- Backend development for the mobile application.
- GCP DevOps and infrastructure optimization.
- Agent AI engineering and AI/ML feature integration.
Project Deliverables
- Fully optimized and managed GCP cloud infrastructure.
- Successful migration of MongoDB Atlas database to GCP.
- Robust backend system enhancements using Node.js and GraphQL.
- Effective weekly CI/CD pipeline implementation.
- Seamless integration of AI/ML features.
Project Solution
Project Outcome
- Significant reduction in infrastructure costs from migrating MongoDB Atlas to GCP.
- Improved data security following the database migration.
- Increased operational efficiency via streamlined GCP management and weekly CI/CD processes.
- Enhanced backend performance and reliability through Node.js and GraphQL improvements.
- Improved cross-team collaboration and productivity gains.
- Scalable infrastructure capable of handling increased loads.
- Reduced development cycle time due to faster debugging and problem resolution.
- Successful talent match with engineers who integrated well into the client's teams.
Platforms
Mobile
Tech Stack
Node.js
MongoDB
Client Endorsement
Overall Review Rating
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“NinjaTech's work led to a significant reduction in infrastructure costs and enhanced data security. They improved deployment speed and reduced downtime, enabling the client to deliver updates and features more efficiently. The team was highly responsive, proactive, and adaptable.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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