How to Automate an AI-based Healthcare App with DevOps

A healthcare startup contacted the ClickIT team to design and implement the infrastructure for their cutting-edge app. The app aimed to simulate optometrist exams, automate routine tests, and ensure optimal response times, secure conversation storage, and adherence to strict security standards.⁣ So our engineers start to work with the healthcare app automation with DevOps tools and practices.

Challenges

1. Perform optometrist exams without human intervention.⁣
2. The initial design utilized external services, causing increased latency and longer processing times.⁣
3. Redesign the first approach to keep everything in the same Azure account.⁣

The Tech Stack

• Terraform⁣
• Azure cloud⁣
• Azure Cache for Redis⁣
• Azure EntraID⁣
• Azure DevOps⁣

Solutions: Healthcare App Automation with DevOps

1. Designed and implemented a private subnet to reduce latency and improve security.⁣
2. Terraform code is used for infrastructure creation to ensure consistency and reusability across environments.⁣
3. Implement Azure DevOps CI/CD Pipeline using a Git flow to approve change requests into solutions code and create the infrastructure through this pipeline. The purpose of this was to reuse the same code for multiple environments. ⁣
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The developer Created an healthcare app automation with DevOps best practices to create a high-performance AI-based healthcare application infrastructure, capable of providing health-related solutions powered by artificial intelligence (AI), This partnership led to new project opportunities with the same client.⁣

The client was thrilled with the results of the healthcare app automation with DevOps.
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Developing a well-founded healthcare app enhanced our expertise in a highly demanding IT sector, boosting our confidence and reliability in securing new agreements.⁣