SaaS Cloud Migration to Dedicated Servers: 35% Lower Infrastructure Costs
About the project
A European SaaS company develops web applications and business software for customers across Germany and other EU markets. Its infrastructure supports production applications, PostgreSQL databases, Redis, staging environments, CI/CD pipelines, monitoring, and internal development services. As the platform grew, infrastructure usage became increasingly predictable, but the public cloud bill continued to increase.
Challenge
The company originally relied primarily on public cloud infrastructure. Cloud services provided the flexibility required during the early stages of the business, but mature production workloads were running continuously and no longer needed the same level of elasticity.
The main challenges were:
- growing monthly cloud infrastructure costs;
- unpredictable billing;
- paying a premium for continuously running compute;
- increasing RAM and CPU requirements;
- the need for high-performance NVMe storage;
- maintaining sufficient capacity for production and staging environments.
The team wanted to reduce infrastructure costs without sacrificing application performance or reliability.
Solution
The company moved its predictable production workloads from public cloud instances to Unihost dedicated servers in Europe. OVE-X4: AMD Ryzen 9 9900X, 64 GB DDR5 ECC, 2x 512 GB NVMe, 1 Gbps Unlimited
Used for: SaaS applications, PostgreSQL, Redis, Docker containers, CI/CD runners, monitoring, and staging environments.
The dedicated platform gave the team fixed CPU and RAM resources without sharing physical compute capacity with unrelated workloads. The company did not completely abandon the cloud. Instead, it adopted a hybrid architecture.
- Dedicated servers: continuous production workloads, databases, staging, CI/CD, monitoring.
- Public cloud: temporary workloads, specialized managed services, backup and burst capacity.
This allowed the business to preserve cloud flexibility where it was useful while moving predictable resource consumption to fixed-cost infrastructure.
Results
After the migration, infrastructure spending for the company’s core workloads decreased by approximately 35%. At the same time, the engineering team gained additional CPU and RAM capacity and reduced the amount of time spent optimizing infrastructure purely to control cloud costs. The migration also made monthly infrastructure spending considerably easier to forecast.
What’s next
The company plans to separate database workloads onto dedicated infrastructure and deploy a secondary European location for additional redundancy. Results at a glance: 35% lower infrastructure costs, predictable monthly billing, dedicated CPU and RAM, hybrid cloud architecture.
