Self-Hosting vs. Cloud: Infrastructure for Decentralized Projects
One of the most common questions DAO projects ask us sounds simple: "Should we self-host or go to the cloud?" The answer, as is often the case, is complicated. Over the past two years at Just Tech Solutions, we have gone both routes with various projects and gathered experiences that I want to present here in a structured way, including a decision matrix to help you with your own evaluation.
Why the Question Is Different for DAOs
For a traditional startup, the answer is usually clear: cloud. AWS, Google Cloud, or Azure offer scalability, managed services, and infrastructure that a small team could never build on its own. But DAOs are not traditional startups.
Decentralized organizations have special requirements for their infrastructure. First, there is often no central decision-maker who can sign a cloud contract. Who is the account holder of an AWS account when the organization has no CEO? Second, data sovereignty is not an abstract topic for many DAOs but a core value. Third, many DAO projects run sensitive governance infrastructure where availability and control are critical.
In our work on a DAO tool platform, we have experienced this tension repeatedly: the project wants maximum decentralization, but the underlying infrastructure needs to run reliably, and reliability requires accountability.
The Options at a Glance
Full Self-Hosting
With full self-hosting, you operate your own servers, either physically in a data center or on rented bare-metal hardware. You have complete control over the operating system, the network, and all services running on it.
Advantages: Maximum control. No dependency on a cloud provider. Predictable costs with stable workloads. Data sovereignty without restrictions. No vendor lock-in.
Disadvantages: High personnel overhead for maintenance, security updates, and monitoring. Scaling requires physical hardware procurement. Single point of failure if no redundant setup exists. Initial setup time is significant.
Managed Cloud (AWS, GCP, Azure)
Major cloud providers handle hardware maintenance and offer managed services for databases, queues, storage, and more. You pay per consumption and can scale within minutes when needed.
Advantages: Quick start. Automatic scaling. Managed services reduce operational overhead. Global availability. Comprehensive compliance certifications.
Disadvantages: Costs can escalate exponentially as usage grows. Vendor lock-in through proprietary services. Data sovereignty is limited. Account management within a DAO structure is complicated. Dependency on the provider's terms of service.
The Middle Ground: VPS with Docker
In practice, we often recommend a middle path: Virtual Private Servers (VPS) from providers like Hetzner, OVH, or Netcup, combined with Docker-based deployment. You rent virtual servers, have root access and full control, without needing to worry about physical hardware.
Advantages: Good balance of control and effort. Predictable monthly costs. Docker containers are portable and can be migrated to another provider when needed. European providers enable GDPR-compliant data storage.
Disadvantages: Scaling requires manual work or orchestration with Kubernetes. Managed services must be operated yourself (database, Redis, etc.). Monitoring and alerting need to be set up.
Decision Matrix
To structure the decision, we use a weighted matrix at Just Tech Solutions. The criteria and their typical ratings for DAO projects:
| Criterion | Weight | Self-Hosting | Cloud | VPS + Docker |
|---|---|---|---|---|
| Data sovereignty | High | 5/5 | 2/5 | 4/5 |
| Operational effort | High | 2/5 | 5/5 | 3/5 |
| Cost predictability | Medium | 5/5 | 2/5 | 4/5 |
| Scalability | Medium | 2/5 | 5/5 | 3/5 |
| Portability | High | 3/5 | 2/5 | 5/5 |
| Initial setup | Low | 1/5 | 5/5 | 3/5 |
| DAO compatibility | High | 4/5 | 2/5 | 4/5 |
For most medium-sized DAO projects, a clear picture emerges: the VPS-with-Docker approach offers the best overall package. It combines sufficient control with manageable effort and allows for a later switch if needed.
Cost Comparison: A Realistic Example
Consider a typical DAO tool setup: a web application, a PostgreSQL database, a Redis cache, a reverse proxy, and a monitoring stack. Monthly costs at comparable performance:
AWS (eu-west-1): EC2 t3.medium + RDS db.t3.micro + ElastiCache + ALB + CloudWatch comes to approximately EUR 180-250 per month. With growing traffic or storage needs, costs rise quickly.
Hetzner VPS: CPX31 (4 vCPU, 8 GB RAM) for about EUR 15 per month. Add a volume for the database (about EUR 5) and a backup slot (about EUR 3). Total costs: under EUR 25 per month. PostgreSQL, Redis, and Nginx run as Docker containers on the same server.
The price difference is enormous, but it comes with a reason: with Hetzner, you are responsible for maintenance, updates, and monitoring yourself. Budget realistically for two to four hours per week of operations work. Still, for DAO projects with limited budgets, the cost difference is often decisive.
Docker-Based Deployment in Practice
Our standard setup for DAO projects is based on Docker Compose. The reasons are pragmatic:
- Reproducibility: The entire infrastructure is defined in a
docker-compose.yml. Every developer can start the identical setup locally. - Portability: Containers run anywhere Docker runs. Switching providers only requires copying the configuration and data.
- Isolation: Each service runs in its own container with defined resource limits. A memory leak in one service does not crash the entire server.
- Updates: New versions are rolled out as new container images. A rollback is a single command.
For projects that outgrow a single server, we move to Kubernetes. The transition from Docker Compose to Kubernetes is not trivial, but containerization ensures that the applications themselves do not need to be modified.
When Self-Hosting Definitely Makes Sense
There are scenarios where self-hosting is the only right choice:
- When your DAO works with sensitive governance data that must under no circumstances reside with a US-based cloud provider.
- When your project operates its own blockchain node with high and predictable I/O requirements.
- When the DAO plans long-term and the initial setup costs can be amortized over years.
- When the organization has the technical personnel to reliably operate the infrastructure, or engages a service provider like us.
When Cloud Is the Better Choice
Conversely, there are situations where cloud hosting is the more pragmatic solution:
- When your project is in an early experimentation phase and you do not yet know what infrastructure you will need long-term.
- When you have highly variable workloads, such as governance votes that generate short-term traffic spikes.
- When your team lacks operations expertise and does not want to engage an external service provider.
- When compliance requirements demand specific certifications that only major cloud providers can demonstrate.
Our Recommendation
Start with Docker Compose on a European VPS. Invest in clean containerization from the beginning. Avoid proprietary cloud services wherever possible, even if you do host in the cloud. And plan operations overhead realistically, either through your own personnel or through a specialized partner.
The decision between self-hosting and cloud is not a matter of faith. It is a trade-off analysis that depends on your specific requirements, your budget, and your values. The matrix above gives you a tool to conduct this analysis for your own project.