Empowering Metabolic Health With AI-powered Solutions on AWS

90% reduction
95% decrease

In today's rapidly advancing world, health and well-being are of great importance. We all strive for a better understanding of our health, however, traditional health check-ups often fall short. This is where SALUTO, the med-tech startup, steps in, offering a deeper understanding of your metabolic health with personalized lifestyle recommendations. What sets SALUTO apart is its use of artificial intelligence (AI) to analyze health data, providing more tailored advice and follow-ups than ever before.

To expedite their multi-cloud application deployment and enhance continuous integration and continuous deployment (CI/CD), SALUTO harnessed Amazon Elastic Container Registry (ECR). This streamlined approach not only reduced deployment time but also ensured reliability across various cloud environments, delivering a faster and more responsive application for users seeking improved health.

Problem description

Saluto encountered a substantial challenge: ensuring the rapid, stable, secure, and efficient deployment of their complex microservice architecture, making sure that the architecture is reliable while still operating at its highest level. All this while seeking a seamless deployment process across their multi-cloud infrastructure.


The result was achieving the ability to deploy each microservice within just one minute after updating the code. This was achieved by using Amazon Elastic Container Registry (ECR). This rapid deployment process not only significantly accelerated the application's update cycle but also enabled quick testing in a staging environment, reducing the testing time frame to a matter of minutes.


In the realm of health and well-being, Saluto stands out with AI-driven personalized metabolic health insights. They faced the challenge of swift, stable, multicloud deployment.

By leveraging Amazon Elastic Container Registry (ECR), Saluto achieved a remarkable outcome: microservices now deploy within one minute of code updates. Testing in a staging environment takes just a few minutes, a 90% reduction in deployment time, and a 95% decrease in testing duration. The result is a faster and more reliable application whose seemingly complex architecture now runs smoothly.