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KT API Integration into Azure, AWS, and GCP
LANCERLancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
Technologies Involved:
API INTEGRATIONS
AWS
Area Of Work:
Web Development
Project Description
The project aimed to integrate the KT API into three major cloud platforms—Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). The client required a unified, secure, and efficient system to connect services across these environments, ensuring smooth data flow, interoperability, and enhanced performance.
Scope Of Work
The client needed a robust integration framework to connect KT APIs with Azure, AWS, and GCP while maintaining high availability and security. This included configuring cloud-specific endpoints, enabling API authentication, and ensuring cross-platform data exchange without service disruption.
Our Solution
To address the client’s requirements, Oodles delivered the following:
- Developed cloud-specific integration modules for Azure, AWS, and GCP using KT API protocols.
- Configured secure API authentication and authorization mechanisms across all platforms.
- Enabled real-time data synchronization between services hosted on different clouds.
- Implemented monitoring and logging tools for API calls and data transactions.
- Optimized API requests to reduce latency and enhance multi-cloud performance.