Choose GitLab.com if you want to start coding immediately without running infrastructure. Choose GitLab Self-Managed on a VPS if control over data location, private networking, identity, software configuration, or isolation is worth taking responsibility for installation, security, upgrades, backups, and outages. A VPS is not simply a cheaper subscription: it turns GitLab into a service your team operates.
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For a game studio, mod team, or distributed development group, that distinction affects where source code and build artifacts live, how runners reach internal systems, who responds when the service fails, and whether a tested restore exists. The decision is operational before it is financial.
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GitLab.com and a VPS change who operates the service
GitLab describes GitLab.com as software-as-a-service: there is no installation, and you create an account to begin. GitLab Self-Managed is software you install, administer, and maintain yourself. GitLab’s own summary is direct: “You don’t need to install anything to use GitLab.com, you only need to create a user account and start using GitLab straight away.” For Self-Managed, GitLab says: “Install, administer, and maintain your own GitLab instance.” (GitLab subscription choices)
| Decision area | GitLab.com | GitLab Self-Managed on a VPS |
|---|---|---|
| Initial setup | Create an account and configure projects. | Provision a Linux VM, install GitLab, configure DNS, TLS, mail, storage, and access controls. |
| Patching and upgrades | GitLab operates the service. | Your administrators schedule, test, and execute upgrades and deal with compatibility or rollback. |
| Incident response | GitLab operates the underlying platform; you still manage users, projects, and your own integrations. | You investigate capacity, disks, networking, certificates, failed jobs, and application health before or alongside vendor support. |
| Data and network control | Use the service’s available regions, controls, and integration model. | Select the VPS location, firewall, private network, identity integration, and routing model that your provider supports. |
| Backups and recovery | Handled within GitLab.com’s service model, subject to its terms. | You must create, protect, monitor, and regularly restore backups. |
| Cost profile | Subscription cost is the primary visible charge. | Compute, SSD storage, egress, backup storage, monitoring, administration, security response, and downtime all belong in the budget. |
Self-hosting therefore makes sense when a specific control requirement outweighs the continuing work. If the only motivation is a lower monthly invoice, calculate the operator time and recovery risk first.
When a VPS is the better fit
Data residency and private connectivity
A self-managed instance lets you choose the VPS region and place Git repositories, issue data, packages, and build artifacts within a network you control. You can restrict administrative access with provider firewalls, VPNs, private subnets, and allowlists, then connect runners or internal services without exposing every endpoint publicly. The exact controls depend on the provider and your network design; a VPS does not automatically satisfy a legal or contractual residency requirement.
Identity and security policy
Self-Managed gives you responsibility for the identity and security configuration available in your chosen GitLab edition and deployment. That can be valuable when a studio needs to integrate with an existing directory, enforce its own certificate and SSH-key handling, or isolate source code from a shared SaaS environment. It also means you must harden the operating system, GitLab, SSH, TLS, firewall, secrets, and administrative accounts.
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Teams often self-host because GitLab must reach systems that are private by design: build machines, package mirrors, artifact stores, test devices, or a local license server. A VPS can sit in the same private network or establish controlled links to it. Confirm that the GitLab tier and feature set you require are available for Self-Managed; GitLab.com and Self-Managed offerings do not have identical administration models or necessarily identical feature availability.
Isolation and predictable resource ownership
A dedicated virtual machine gives your GitLab workload reserved CPU, memory, disk, and network allocations within the limits of the plan. That can make capacity planning easier for large repositories, Git LFS, registries, or concurrent CI jobs than sharing a general SaaS service. Isolation is not the same as high availability: one VPS can still be a single point of failure.
What GitLab actually needs on a VPS
GitLab’s current installation requirements list an 8-vCPU baseline for a single-node installation. That is a baseline, not a promise that every workload will be fast at that size. GitLab says CPU and memory needs vary with user count, request rate, automation, repository size, mirroring, and related activity. The requirements documentation also stresses that filesystem performance affects responsiveness and recommends SSD-backed storage. (GitLab installation requirements)
| Resource | What the documented guidance establishes | How to size beyond the baseline |
|---|---|---|
| CPU | 8 vCPUs is the baseline for a single-node installation. | Add capacity when concurrent web requests, background jobs, CI orchestration, mirroring, or repository operations create sustained load. |
| Memory | No universal RAM figure is established for every workload in the cited guidance. | Measure active users, Sidekiq and database pressure, CI activity, registries, and peak request periods; leave headroom rather than sizing to average use. |
| Storage capacity | At minimum, storage must cover repository data; the requirements page warns that filesystem performance affects responsiveness. | Include Git LFS, artifacts, package and container registries, uploads, Pages data, Terraform state, backups, logs, and growth. |
| Storage performance | SSD-backed storage is recommended for responsiveness. | Prefer persistent SSD volumes and monitor latency, free space, and I/O saturation. |
| Network | Capacity depends on users, clones, pushes, mirrors, runners, registries, and backup transfers. | Check provider transfer limits and egress pricing before moving large repositories or images. |
Do not treat “single-node” as “small.” A game project with large binary assets, frequent CI builds, LFS traffic, and container images can outgrow a nominal starter VPS quickly. Conversely, a small team with modest repositories may not consume the full baseline continuously, but the documented baseline remains the prudent starting point for a conventional single-node design.
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Linux package on a conventional VPS
GitLab’s Linux package is the mature, scalable path for a conventional VPS. It bundles PostgreSQL, Redis, and Sidekiq, reducing the number of separate services you must assemble and keep compatible. This is usually the simplest route when you have one Linux VM, persistent SSD storage, and administrators comfortable with system packages, firewalls, DNS, and TLS. Follow the current installation requirements and package documentation for the supported operating system and GitLab version rather than pinning an old tutorial.
Helm deployment on Kubernetes
The Kubernetes-based Helm deployment is appropriate when your team already operates Kubernetes, persistent volumes, ingress, upgrades, and observability. It is not a shortcut around operations: you still own cluster capacity, storage classes, networking, secrets, monitoring, and recovery. Choosing Helm solely to avoid learning the Linux package generally adds moving parts instead of reducing work. GitLab lists the available installation methods in its deployment guidance. (GitLab installation methods)
A practical VPS deployment sequence
- Define the workload. Count users and repositories, estimate clone and push traffic, list CI runners, record expected LFS and registry usage, and identify private services GitLab must reach.
- Select the region and plan. Check CPU, memory, persistent SSD capacity and I/O, network transfer, snapshot or backup options, IPv4/IPv6, firewall controls, and support scope. Keep room for growth beyond the 8-vCPU single-node baseline.
- Prepare the host. Install the provider-supported Linux image, apply security updates, restrict SSH, configure a firewall, set time synchronization, and establish monitoring before exposing GitLab.
- Attach durable storage. Plan capacity for repositories, artifacts, registries, uploads, Pages, Terraform state, logs, and backup staging. Ensure the volume survives a VM replacement and that free-space alerts reach an operator.
- Install GitLab. Use the supported Linux package for a conventional VM, or Helm only on an existing, competently operated Kubernetes platform. Configure the external hostname, TLS, mail delivery, user policies, and runner connectivity.
- Test the application path. Create a test project, clone it over the intended protocol, push and pull, run a representative CI job, upload an artifact, and exercise any registry or LFS workflow the team depends on.
- Document ownership. Record the GitLab version and edition type, provider plan, storage mounts, firewall rules, certificates, secrets, upgrade window, backup destination, and named responders.
Backups are part of the product decision
GitLab warns that “Your GitLab instance contains critical data for your software development or organization.” A self-managed installation therefore needs a disaster-recovery plan, scheduled backups, protected credentials, and a restoration procedure—not merely a snapshot button. (GitLab backup and restore overview)
What the GitLab backup archive can contain
GitLab documents archives that can include database data, repositories, Git LFS objects, CI artifacts, package and container registries, uploads, Pages data, Terraform state, and other project data. Treat the archive as a critical copy, not as the entire server state.
What needs separate protection
Protect /etc/gitlab, TLS certificates, SSH keys, encryption and integration secrets, and any object-storage data separately. Configuration and key material are required to make a restored application usable, while some object-storage content is not necessarily inside the main archive. The backup documentation explains these boundaries and supported destinations. (GitLab backup and restore procedures)
A defensible backup runbook
- Run GitLab’s documented backup command on a schedule that matches the value and change rate of the projects.
- Send archives to remote object storage or another location; GitLab documents S3-compatible storage, Google Cloud Storage, Azure, and locally mounted destinations.
- Encrypt copies in transit and at rest, restrict who can read them, and monitor job success, archive age, and remaining destination capacity.
- Rotate copies according to a written retention policy, keeping at least one copy independent of the VPS and its provider account.
- Back up
/etc/gitlab, TLS and SSH keys, and required object-storage data through a separate protected process. - Restore into an isolated test environment and verify sign-in, repositories, LFS, artifacts, registries, Pages, runners, and integrations.
GitLab states that a backup can be restored only to the same GitLab version and the same CE or EE type from which it was created. Keep upgrade and rollback procedures aligned with that rule: record the version before each upgrade, retain a compatible backup, and do not discover restore incompatibility during an outage.
Why an external SSD helps—but is not enough
An external SSD is useful for rotating encrypted backup copies or staging a recovery. It should complement an off-site copy, not be the only backup: theft, failure, ransomware, or a mistake can affect both the VPS and a locally attached drive.
Provider features affect the operating burden
Provider backup products differ in schedule, retention, storage accounting, and support. DigitalOcean documents Droplets as Linux virtual machines and offers backup intervals ranging from weekly through every four hours, with percentage-based or usage-based billing. Its current basic-plan documentation lists weekly backups at 20% of Droplet cost and daily backups at 30%; usage-based plans charge by restorable GiB. Rates can change, so verify the provider’s current regional pricing before committing. (DigitalOcean Droplet pricing; DigitalOcean backup pricing)
Hetzner’s Cloud API documentation lists seven backup slots priced at 20% of the server price. That figure describes the documented product, not a universal VPS standard. Compare retention, restore speed, whether backups are crash-consistent or application-consistent, and whether support helps with GitLab recovery.
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Build a total-cost estimate with two columns: GitLab.com and the complete self-managed service. For the VPS column, include:
- VPS CPU, memory, persistent SSD, and additional volumes;
- backup storage, snapshots, and off-site object-storage requests;
- network transfer and egress for clones, registries, runners, and backup copies;
- monitoring, alerting, logging, DNS, and certificate management;
- administrator time for patching, upgrades, security response, user support, and capacity planning;
- planned maintenance windows and the financial cost of downtime or a failed restore.
A lower server price can disappear when one administrator spends several hours on every upgrade or an untested backup extends an outage. Conversely, self-hosting can be economically rational when you already operate Linux infrastructure, need a particular network boundary, or can consolidate storage and runners on existing systems. Make the comparison using your team’s hourly operational cost and acceptable recovery time, not just the monthly VM line item.
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GitLab.com minimizes the work of running the control plane, but your jobs still need an appropriate runner model, permissions, secrets, and network access. With Self-Managed, you choose where runners execute and can place them close to private build systems, but you also maintain runner hosts, images, patching, concurrency limits, caches, and isolation. Separate runner capacity from the GitLab application when builds are CPU- or disk-intensive so a compilation storm does not starve the web interface and background jobs.
Plan an operating calendar for security updates, GitLab upgrades, certificate renewal, storage review, backup verification, and access audits. Monitor web response time, Sidekiq queues, database health, disk latency, disk fullness, failed backups, and runner backlog. Assign a responder and document escalation; a VPS without an on-call owner is not a managed service.
A decision framework for teams
Choose GitLab.com when
- The priority is immediate project access with minimal infrastructure work.
- Your team does not want to own Linux patching, monitoring, upgrades, backup testing, and incident response.
- The service’s available regions, networking, identity controls, and feature set satisfy your requirements.
- Downtime risk from a single self-managed VPS would be unacceptable without funding a larger platform.
Choose Self-Managed on a VPS when
- Data location, private networking, identity integration, software configuration, or isolation is a documented requirement.
- You already have administrators who can operate Linux or Kubernetes and respond to incidents.
- You need GitLab and runners to reach private build, test, package, or storage systems.
- You will fund persistent SSD capacity, off-site backups, monitoring, tested restores, and growth beyond the baseline.
Choose a different architecture when
A single VPS is the wrong shape if your availability target requires eliminating a single point of failure, if you cannot provide an operator, or if your repositories and registries need storage and throughput beyond the provider plan. In those cases, evaluate a more resilient self-managed design or remain with a hosted service rather than treating a larger VPS as automatic high availability.
Questions to answer before you migrate
- Which GitLab version and CE/EE type will you run, and how will you keep backups restorable to that exact target?
- Where will repositories, LFS, artifacts, registries, uploads, Pages, Terraform state, logs, configuration, keys, and backup archives reside?
- How many simultaneous CI jobs, large pushes, mirrors, and registry transfers must the system handle at peak?
- Who receives alerts and performs an upgrade or restore outside business hours?
- What is the tested recovery-time and recovery-point objective, and when was the last successful restore?
- Which provider limits, regional pricing, backup schedules, retention rules, and support boundaries apply to your chosen plan?
The answer is not “VPS is cheaper” or “SaaS is always safer.” GitLab.com buys operational simplicity. A self-managed VPS buys control, but only if you also buy the people, storage, monitoring, and recovery discipline to operate it.
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