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.

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Case Study at a Glance
Client

Rental Company

Use Case

DevOps Modernization & Infrastructure as Code

Tech Stack

Google Cloud Platform

Kubernetes (GKE)

Terraform

Cloud Build

Time to Production
From brief to live deployment
0 weeks

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1. The Challenge

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.

Maintaining the Past

The existing architecture and DevOps culture kept engineers firefighting legacy infrastructure instead of shipping new product features.

Est. engineer time on infra upkeep
0 %

Manual, Inconsistent Environments

Development, Staging, and Production were configured by hand with no infrastructure-as-code parity, making every change slow and error-prone.

Configured manually, no IaC
0 envs

Security & Downtime Risk

Aging infrastructure carried security and downtime vulnerabilities that grew harder to manage as the platform scaled.

Automated CI/CD pipelines at start
0

2. The Engineer Approach

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.

  • Discovery & DevOps Assessment

    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.

  • Infrastructure as Code Build-Out

    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.

  • CI/CD Pipelines & Deployment

    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.

  • Knowledge Transfer & Documentation

    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.

The biggest win wasn't any single tool — it was getting every environment defined as code. Once Development, Staging, and Production were reproducible from Terraform and deploying through the same Cloud Build pipeline, the team stopped firefighting one-off configuration drift and could finally focus on building for their guests and owners.
RTS Labs DevOps Team
Cloud & DevOps Engineering, RTS Labs

3. Results & Impact

Faster Deployments
0 %
Est. Annual Savings
0 k
Deployment Frequency
0 x
Time to Production
0 wks

Before RTS Labs

  • Divided Developer Focus

    Engineers pulled off product work to manage infrastructure

  • Inconsistent Environments

    Dev, Staging, and Production configured manually and inconsistently

  • Legacy System Risks

    Security and downtime vulnerabilities across aging infrastructure

  • Missing Documentation

    Little current-state documentation; reliance on tribal knowledge

After RTS Labs

  • Unified Infrastructure as Code

    All three environments fully defined as code on Google Cloud

  • Continuous Delivery Setup

    Automated CI/CD build and deploy pipelines on GKE

  • Modern DevOps Culture

    A dedicated DevOps practice freeing developers to build

  • Documented System Ownership

    Architecture diagrams and Confluence runbooks owned by the team

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