AI-Accelerated API Modernisation: From MuleSoft to AWS

AWS API and MSK Modernisation

Executive Summary

Our client sought to validate a modern, cost-effective alternative to their existing MuleSoft integration layer. DX1 led a high-velocity project to demonstrate that an AWS-native architecture, accelerated by the Kiro AI platform, could not only replicate existing functionality but also significantly improve delivery speed and reduce operational overhead.

Client: Major Australian Telecommunications Provider

Partner: DX1 and AWS

Technologies: AWS API Gateway, Amazon MSK (Managed Streaming for Apache Kafka), Kiro (AI-driven Development Platform), AWS Lambda, Infrastructure as Code (IaC)

The Challenge

As a leader in the telecommunications sector, our client required a highly scalable and resilient API architecture. The primary objectives of the project were:

 

  • Technical Validation: Prove an end-to-end AWS API and MSK (Kafka) design.
  • Legacy Replacement: Demonstrate that AWS-native services could replace MuleSoft without loss of capability.
  • Speed to Market: Reduce the time required to generate Lambda code, pipelines, and Infrastructure as Code (IaC).

 

The Solution

The DX1 team implemented a cutting-edge workflow leveraging Kiro to automate the heavy lifting of the migration. By adopting this "new technology" approach early, the team navigated the initial learning curve to create a repeatable blueprint for future services.

 

Key Technical Pillars:

  • AWS API + MSK Integration: Established a technically proven, end-to-end design for real-time data streaming and API management.
  • AI-Accelerated Development: Utilised Kiro to automatically generate Lambda business logic, IaC, and CI/CD pipelines.
  • Cost Optimisation: Replicated complex integration patterns within the AWS ecosystem, achieving superior cost-efficiency compared to the incumbent platform.

 

Key Outcomes & Results

  • Technical Viability: Confirmed end-to-end flow from API Gateway through to MSK, proving the platform is ready for any number of APIs.
  • Operational Efficiency: Proved that AWS-based services provide an equivalent or better platform, particularly from a cost perspective.
  • Delivery Speed: Significantly accelerated the rate of delivery by leveraging Kiro’s automated code and pipeline generation.
  • Project Predictability: Gained high-confidence estimation data for the full-scale migration of our client’s entire API catalogue.