Covering 70+ US cities with a network of over half a thousand dentists and physicians, the platform provides access to primary care plans to everyone who needs it, regardless of insurance status.
It’s a huge improvement over what we had before. Working with them was totally worth it.
Moving from proof of concept to a state of fully launched startup, Doctors Network wasn't sure that the platform was ready to cope with the flow of new users. Creating a robust infrastructure to handle the expected traffic surge smoothly became essential.
Taking the common startup approach, the client focused on core features rather than on system performance. However, lacking a zero downtime deployment configuration, they faced potential risks with each live platform update or change.
Saving resources, Doctors Network decided to launch the product with a manually maintained server configuration and deployment process. However, as the team and project grew, managing completely non-automated operations became more and more challenging.
Let our team find the best tech approach for your business scale and scope.
Understanding the client's struggles and budget limitations, the OpsWorks Co. team suggested adopting our client-validated reference architecture. This approach allows speed-up development while staying budget-friendly. Our reference architecture seamlessly aligns with all six pillars of the Well-Architected Framework, making it a solid and reliable project base.
To ensure the platform's scalability, our team used Amazon Elastic Kubernetes Service (EKS). This approach helped us achieve flexibility and scalability of the solution, making it ready to efficiently handle traffic surges and constantly deliver users a high-quality experience.
Elevating the project to a new level, our team automated the CI/CD process using GitHub Actions. Since the platform's source code was already stored there, it made perfect sense to continue using the tools the team was already familiar with.
High-available infrastructure
System scalability
Fully automated CI/CD
Cost optimization