How do I choose between different self-hosted git platforms for scaling many repositories and users?

To choose between self-hosted Git platforms when you expect to scale to many repositories and users, focus on expected load (user count, concurrent Git operations, repository size/count, CI activity), available infrastructure and operational capacity, required features (HA, advanced CI, security scanning, audit), and long-term maintainability. Lightweight forges handle moderate scale efficiently; fuller platforms provide explicit reference architectures and high-availability designs for large environments.

Key factors to evaluate for scale

• Peak load metrics: concurrent users, Git pull/push/clone rates, number and size of repositories (especially monorepos or heavy LFS usage), and CI job volume. These drive CPU, memory, disk I/O, and database needs more than raw repo count alone.
• Resource and operational budget: Lightweight options run on modest hardware with low ongoing care; fuller platforms need more RAM/CPU, multi-node setups, and dedicated ops effort for high scale.
• High availability and resilience: Ability to run multi-node or HA configurations without single points of failure becomes important beyond a few thousand users.
• Storage and Git performance: Support for external/object storage, efficient Git storage layers (for example Gitaly-style), and horizontal scaling of Git operations.
• Feature needs that grow with scale: Mature CI/CD, package/container registries, security scanning, fine-grained permissions, audit logging, and SSO/LDAP.
• Migration and growth path: Ease of starting small and expanding, plus tooling to move repositories later if needed.

Main platform options and how they scale

• Gitea or Forgejo (very similar lightweight Go-based forges) — Excellent for small-to-medium scale (dozens to low hundreds of active users and repositories) on low resources (often under 1 GB RAM idle, scaling comfortably on 2–4 GB for moderate teams). They stay fast and simple. For larger numbers of repos/users, use a proper database (PostgreSQL recommended), separate CI runners, and solid storage. They lack the built-in multi-node HA reference designs of heavier platforms, so very large deployments require more custom engineering. Choose these when you prioritize low operational overhead and do not need a full DevOps suite.
• GitLab CE (Community Edition) — Designed with scale in mind and provides official reference architectures sized by approximate user count or requests-per-second (from roughly 1,000 users up to tens of thousands). It supports single-node, multi-node, and high-availability layouts, Gitaly for scalable Git storage, Kubernetes options, and component separation (database, Redis, Sidekiq, etc.). Resource needs are higher (typically 4–8 GB+ minimum, more for larger reference architectures). It is the stronger choice when you expect thousands of users, heavy concurrent Git traffic, many repositories, or need integrated CI, security scanning, and enterprise-style governance in one platform.
• Other options — OneDev offers a lighter all-in-one alternative with lower overhead than GitLab while still providing CI and issue tracking. Platforms such as RhodeCode can suit multi-VCS or highly governed enterprise environments with large repository counts. Bare Git over SSH is the absolute lightest but lacks collaboration features needed at team scale.

Practical decision process

Estimate your target scale (users, peak RPS or concurrent operations, total and largest repository sizes, CI intensity) and map it against published guidance or community reports.

Decide whether you need a simple forge or a full platform. If the answer is “mostly Git hosting + basic PRs/issues + lightweight CI,” start with Gitea or Forgejo. If you need mature multi-stage CI, built-in security scanning, advanced permissions, and proven HA paths, lean toward GitLab CE.

• Factor in total cost of ownership: hardware, storage growth, backup/restore, upgrades, monitoring, and the people time required to keep a larger stack healthy. Prototype with a realistic subset of repositories and simulated concurrent load. Measure response times, memory, disk I/O, and Git operation latency.

• Plan the architecture early: separate CI runners, use object storage where supported, choose a robust database, implement monitoring and automated backups, and consider horizontal scaling or HA once you pass a few thousand users or experience performance pressure. Review governance and security requirements (SSO, audit logs, fine-grained permissions) because these often tip the decision toward the fuller platforms at larger scale.

In short, Gitea or Forgejo are the practical, low-overhead choices for most teams scaling to moderate numbers of repositories and users. Move to GitLab CE (following its reference architectures) when user count, concurrency, repository volume, or the need for integrated DevOps and high availability grow into the thousands. Always validate with a load test that reflects your actual usage patterns rather than relying solely on minimum hardware numbers.