How Spiderdoor Moved from a VPS to a Secure AWS Platform

A private Amazon EKS architecture combined automated delivery, managed data, monitoring, and layered traffic protection.

AWS Architecture

Kubernetes and EKS

DevOps Automation

Problem Statement

Spiderdoor needed to move its SaaS application from a VPS to AWS. The existing environment relied on manual deployment work, had limited scaling options, and did not provide the network controls or operational visibility the team needed for continued growth.

CLIENT

Spiderdoor

PROJECT SCHEDULE

Oct 2024 to Dec 2024

PROJECT SIZE

$10,000 to $49,999

Proposed Solution

Protected request path

CloudFront, AWS WAF, and an Application Load Balancer provided edge protection and distributed traffic to private application workloads.

Private application and data tiers

Containerized services ran on Amazon EKS, while Amazon RDS provided managed database availability in private subnets.

Automated delivery

Jenkins, Docker, and Argo CD established a repeatable CI/CD workflow with a private source repository and container registry.

Monitoring and recovery data

Prometheus and Grafana provided operational visibility, while Amazon S3 retained logs and backup data.

Controlled administrative access

VPC segmentation, VPN access, managed secrets, and encryption reduced exposure compared with the previous VPS environment.

The new environment brought delivery, runtime, data, security, and monitoring into one AWS operating model. Each layer has a defined purpose and can be reviewed independently as the SaaS workload grows.

Core tech stack we work with

Leveraging the Leading Programming Languages and Frameworks to Deliver Reliable, Scalable Solutions.

Outcomes & Success Metrics

Measurable improvements in performance, reliability, scalability, and cost.

Release Cycles

50% faster release cycles due to CI/CD automation

Issue Resolution

40% faster issue resolution with monitoring tools

Security

Improved security and high availability

Cost Efficiency

Cost-efficiency and scalability aligned with future business growth

Lessons Learned

For this SaaS migration, automated delivery and observability were as important as the target infrastructure. Auto scaling provided capacity flexibility, but ongoing resource review remained necessary to prevent overprovisioning.

TCO Analysis

The project comparison favored AWS for this workload because managed services, automated scaling, and repeatable delivery replaced several manual VPS operations. The cost advantage depended on right sizing and continued resource management.

Considering a VPS to AWS migration?

We will review the current workload, identify migration risks, and map the smallest practical path to a secure, operable AWS foundation.

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