Hosting a SaaS: VPS Provider or Hyperscaler?
Should a SaaS run on a VPS provider like DigitalOcean or UpCloud, or on a hyperscaler like AWS? The deciding factors, a reference architecture for each, and how to keep a later migration cheap.
Every SaaS founder eventually faces the same fork: host on a developer-focused VPS provider such as DigitalOcean or UpCloud, where the bill is a short list of servers and managed databases, or host on a hyperscaler such as AWS, where nearly any capability exists but arrives with its own pricing meter and its own learning curve. Neither answer is wrong. The right one depends on what your customers will ask you to prove, how large your team is, and how much of the platform you want to operate yourself. This article lays out the trade-offs and a workable architecture on each side.
What each model gives you
A VPS-style provider sells a small, coherent catalog: virtual machines, block storage, object storage, load balancers, private networking, firewalls, and usually a managed database and a managed Kubernetes option. DigitalOcean’s Droplets, Managed Databases, Spaces, and App Platform cover most of a SaaS stack, and UpCloud’s cloud servers with MaxIOPS storage, private networks, managed databases, and object storage do the same. Pricing is mostly per server per month with bandwidth included up to an allowance, so a founder can predict the bill from a headcount of servers.
A hyperscaler sells breadth. AWS alone offers many ways to run compute (EC2, ECS, EKS, Lambda, App Runner), several database engines under RDS and Aurora plus DynamoDB, S3 for objects, a mature IAM model, a long list of compliance programs, and regions on every populated continent. The price of that breadth is a metered bill with dozens of line items, quotas that need raising as you grow, and an IAM and networking model that rewards study. For a SaaS that will sell to enterprises, that breadth is often the point.
The factors that actually decide it
| Factor | Favors a VPS provider | Favors a hyperscaler |
|---|---|---|
| Team size and skills | One to a few engineers comfortable with Linux | A platform engineer or an appetite to become one |
| Customer compliance demands | SMB customers who ask for basics | Enterprise buyers asking for specific attestations and controls |
| Cost predictability | Monthly per-server pricing, included traffic | Metered usage, savings from commitments at scale |
| Managed services needed | Database, object storage, load balancer | Queues, search, streaming, ML, identity federation, many more |
| Regions and residency | A handful of locations is enough | Specific countries or many regions required |
| Multi-tenant isolation | Application-level tenancy is acceptable | Per-tenant accounts, VPCs, or keys may be demanded |
| Email and outbound traffic rules | Check the provider’s SMTP policy before relying on it | Use a dedicated email service such as Amazon SES |
Two factors dominate in practice. The first is who your customers are: enterprise procurement teams will ask for a compliance package and architectural answers that are easier to give on a hyperscaler. The second is who your team is: a small team that spends its week on product features will ship faster on a provider whose whole console fits in one afternoon.
A reference architecture on a VPS provider
A SaaS on DigitalOcean or UpCloud typically looks like this. Two or more application servers run the code behind a provider load balancer that terminates TLS with a Let’s Encrypt or uploaded certificate. A managed PostgreSQL or MySQL database holds tenant data with automated backups turned on and a standby node for failover. Object storage holds uploads, exports, and database dumps, with versioning where the provider supports it. A managed Redis or Valkey instance handles sessions and job queues. All servers sit in a private network, the provider firewall only exposes the load balancer to the internet, and SSH is limited to the team’s addresses. Deployment comes from a CI pipeline that builds a container image and rolls it onto the servers, or from App Platform if the team prefers a push-to-deploy model on DigitalOcean.
The operational duties this leaves with you are operating system updates, application-level monitoring, and log shipping. Both providers have monitoring and alerting on server metrics, but application logs and traces usually go to a third-party tool.
A reference architecture on AWS
The same SaaS on AWS uses an Application Load Balancer in front of ECS on Fargate or an EKS cluster, with RDS or Aurora PostgreSQL in Multi-AZ configuration, S3 for objects with versioning and lifecycle rules, ElastiCache for sessions and queues or SQS for job dispatch, and Secrets Manager for credentials. Everything lives in a VPC with private subnets for compute and data and public subnets only for the load balancer. IAM roles give each service exactly the permissions it needs, CloudTrail records every API call, and CloudWatch collects logs and metrics without a third party. Separate AWS accounts for production and staging under AWS Organizations keep blast radius small and let enterprise customers see a clean boundary.
The duties this removes are patching hosts and running the database and cache. The duties it adds are IAM design, VPC design, quota management, and reading a bill that will have many more lines. Savings Plans and Reserved Instances reduce the compute cost once the baseline is stable, but the meter for data transfer, requests, and storage classes needs watching from the start.
Starting on a VPS and moving later
Many successful SaaS products start on a VPS provider and move part or all of the stack to a hyperscaler when a customer or a scale threshold demands it. That move is straightforward if a few habits are kept from day one: run the application as a container, keep state only in the managed database and object storage, describe the infrastructure in Terraform, use environment variables for configuration, and never hard-code a provider’s API into the product code. With those in place, a migration is a data copy and a DNS change rather than a rewrite. The reverse move, from a hyperscaler to a VPS provider to cut cost, is possible under the same conditions, though teams that have adopted many managed services will find it harder.
Where to go next
The marketplace lists accounts on both sides of this decision: DigitalOcean accounts with different Droplet limits, UpCloud accounts with a credit variant, and AWS accounts in vCPU and credit tiers, with the exact variant labels on each page.
For the next step on either path, read the cloud infrastructure plan for early-stage startups, the guide to running Docker on a cloud VPS, and the overview of why providers restrict port 25 before you plan outbound email. The full set of guides is in the Cloud Library.