Longevia Health's Secure and Serverless Foundation on AWS

Executive Summary

Longevia Health is an innovative, growing healthcare technology company committed to delivering modern digital health solutions. Longevia is where medicine meets prevention, with patient needs at the centre of every decision.

The Opportunity

As the organisation moves from early build to launch readiness, the focus shifts to getting the fundamentals right. A well-governed cloud baseline provides the stability, security, and cost control needed to support growth as adoption increases. The requirement is clear: design and implement the AWS foundation from the ground up, with a landing zone and operational guardrails in place from day one.

Our approach

To give Longevia Health a secure, scalable foundation from day one, we implemented an AWS landing zone, layered connectivity, shared services, and application infrastructure in a deliberate sequence, so each capability built on a governed baseline rather than adding controls later.

‍

A multi-account structure is architected using AWS Control Tower, separating environments and defining clear operational boundaries. This established consistent governance and guardrails across accounts, enabling Longevia to scale cloud adoption without losing control. AWS IAM Identity Center standardises access while keeping sensitive actions restricted.

‍

With the baseline in place, Several Clouds set up secure network connectivity via VPN, enabling private access to critical resources and a consistent operational path for administrators and engineers. The solution is designed to be cost-effective, providing the required secure access without unnecessary complexity. All core networking components are delivered through infrastructure as code, making the setup repeatable and ready to expand as new AWS accounts and environments are added.

‍

Next, Several Clouds implemented centralised artifact management to make software delivery repeatable and consistent across environments. Container images are standardised in Amazon ECR, and application assets and shared artifacts are organised in Amazon S3. This reduced deployment friction, improved traceability, and aligned environments around the same release artefacts.

With governance, access, connectivity, and artifact storage established, the team delivered the application platform using Terraform as Infrastructure as Code, treating the cloud environment as a versioned product. This approach ensured the infrastructure is reproducible, reviewable, and auditable, supporting consistent deployments across all application environments. 

‍

AI enabled by design - In parallel, the solution lays a foundation for AI workloads, enabling services such as Amazon Bedrock and AgentCore to be adopted.

‍

To operationalise delivery, the team implemented a CI/CD process that builds, tests, packages, and deploys the application in a repeatable and traceable way. The release pipeline generates deterministic versions, runs automated frontend and backend test stages with published reports, and produces deployable artifacts pushed to managed registries/storage. 

‍

Finally, practical operational optimisations are added to support cost control and reliability as usage grows. Cloud financial management is fully implemented in alignment with the FinOps framework, guaranteeing cost-effective, secure, and scalable consumption. Non-production environments are designed to support automation, such as scheduled off-hours shutdown, helping reduce spend without impacting delivery velocity.

Results & Benefits

The outcome aligns directly with the original requirements: a secure, compliant AWS foundation with minimal operational overhead. Built with a serverless-first approach, the platform scales on demand and supports scale-to-zero to keep non-production costs low when idle. Security is anchored in a governed landing zone and reinforced through layered controls across identity, network boundaries, data protection, and continuous monitoring. This defence-in-depth model keeps guardrails consistent and auditable as workloads and teams scale.
‍

About the Partner

Several Clouds’  architects all possess deep knowledge and extensive experience throughout the full cycle of building business cases, planning, architecting, implementation, and building playbooks and runbooks to help customers with:

• Cloud adoption and migrations
• Cloud training and talent transformation
• Building secure and compliant cloud environments
• Implementing DevOps and DevSecOps practices
• Cost Optimization and FinOps
• Generative AI, Machine Learning, and Big Data
• Serverless and Cloud-Native Development

‍

‍