Home / Case Studies / Modernizing DevOps & Cloud Infrastructure: 70% Faster Deployments for an Outer Banks Rental Company
A short-term vacation rental company on North Carolina's Outer Banks was spending more engineering time maintaining aging infrastructure than building for the future. RTS Labs ran a DevOps discovery and rebuilt their Development, Staging, and Production environments as code on Google Cloud — standardizing CI/CD, hardening security, and freeing developers from infrastructure firefighting. Note: the metrics shown on this page are illustrative estimates by RTS Labs based on the scope of the engagement, not client-reported figures.
Rental Company
DevOps Modernization & Infrastructure as Code
Google Cloud Platform
Kubernetes (GKE)
Terraform
Cloud Build
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A short-term housing rental company on the Outer Banks of North Carolina set out to streamline its CI/CD processes, reduce security and downtime vulnerabilities, and improve overall operational efficiency while lowering maintenance cost. Its custom guest, owner, and services portals — along with the APIs supporting them — ran on infrastructure that had grown organically over years.
The existing application architecture and DevOps culture did not support the modern practices the team needed. Environments were configured by hand, developers were repeatedly pulled away from product work to firefight infrastructure, and there was little current-state documentation to rely on. The result was a team spending more energy maintaining the past than building for the future.
RTS Labs was engaged to review the full infrastructure delivering those custom applications and third-party integrations, and to chart a path from the current state to a modern, reproducible, well-documented DevOps practice.
The existing architecture and DevOps culture kept engineers firefighting legacy infrastructure instead of shipping new product features.
Development, Staging, and Production were configured by hand with no infrastructure-as-code parity, making every change slow and error-prone.
Aging infrastructure carried security and downtime vulnerabilities that grew harder to manage as the platform scaled.
RTS Labs began with a series of remote workshops across the client’s development, infrastructure, data, and product teams to fully understand the current application architecture and DevOps methodology. From there, the team rebuilt the underlying infrastructure for all three environments as code on Google Cloud Platform — provisioning with Terraform, containerizing workloads on Google Kubernetes Engine, and standardizing build and deployment through Cloud Build. The work was paired with hands-on knowledge transfer so the client’s own staff could own and maintain the new platform.
Through remote workshops with the development, infrastructure, data, and product teams, RTS Labs documented the current architecture, produced a skills, strengths, and gaps analysis, and mapped a current-state versus future-state vision for tooling and process — captured in architecture diagrams and workflow documentation.
All components across Development, Staging, and Production were provisioned with IaC tooling on GCP: container and artifact registries with lifecycle policies to clean up old images, the primary node pool, a PostgreSQL (Cloud SQL) instance, load balancer configuration, and node auto-scaling.
Cloud Build triggers were configured to deploy to Google Kubernetes Engine, with Kustomize used to eliminate redundant secrets and database connections duplicated across manifests, module-level build jobs for each service, and existing secrets extracted into Terraform.
RTS Labs configured FusionAuth hostname whitelisting and SSH credentials for GitHub access, then supported knowledge transfer on Secrets Manager, Kubernetes cluster administration, and maintenance procedures — documenting everything in Confluence so the client's team could run the platform independently.
Engineers pulled off product work to manage infrastructure
Dev, Staging, and Production configured manually and inconsistently
Security and downtime vulnerabilities across aging infrastructure
Little current-state documentation; reliance on tribal knowledge
All three environments fully defined as code on Google Cloud
Automated CI/CD build and deploy pipelines on GKE
A dedicated DevOps practice freeing developers to build
Architecture diagrams and Confluence runbooks owned by the team
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