I Need a Ci/cd Pipeline That Runs o… AI recommendations | Parse
I need a CI/CD pipeline that runs on my own hardware and does not have per-user limits.
Data as of Sep 24, 2026 · Based on 299 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
To build a custom CI/CD pipeline on your own hardware without per-user licensing, the top choices are Jenkins for maximum flexibility, Gitlab Self-Managed for an all-in-one platform experience, or Gitea with Actions for a lightweight alternative. These options allow you to maintain full control over your server capacity, effectively removing artificial caps on users or pipeline execution frequency.
Jenkins is the most flexible choice for custom workflows, offering a massive plugin ecosystem. It is best if you need a mature, highly configurable automation server that runs entirely on your own local machines.
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Question: I need a CI/CD pipeline that runs on my own hardware and does not have per-user limits.
If your main requirements are your own hardware + no per-user CI minute limits, I’d build around self-hosted GitLab + GitLab Runner.
Recommended architecture
GitLab Self-Managed — hosts your Git repositories, merge requests, pipeline definitions, artifacts, and CI/CD UI.
GitLab Runner — installed on your own machines and executes the jobs. GitLab explicitly supports self-managed runners on infrastructure you control.
Docker executor — each CI job runs in its own container, giving you reproducible build environments.
Multiple runners — add more physical machines as your workload grows. Concurrency is ultimately determined by the hardware/runners you provide rather than a hosted runner's monthly compute allocation.
Optional internal registry — keep container images on your own network as well.
GitLab supports instance, group, and project runners, so you can give a common runner pool to everyone or isolate runners for particular projects.
One important distinction
"No per-user limits" doesn't mean unlimited physical concurrency. If you have 4 runner machines capable of one job each, you can run roughly 4 jobs simultaneously. You increase that capacity by adding CPUs, machines, or runner instances.
Also, self-hosted runners are effectively executing users' code on your infrastructure. GitLab specifically warns that shared, non-ephemeral runners can allow one project's job to compromise another project's environment, so I'd use ephemeral Docker/VM workers or strong isolation if multiple untrusted users will be using the system.
If you want everything completely on-prem
Use:
GitLab Self-Managed + GitLab Runner + Docker + your own GitLab Container Registry/storage.
That removes dependence on GitLab.com's hosted compute. GitLab's documentation confirms that self-managed runners can be installed on infrastructure you own/manage.
If you tell me what hardware/OS you have (e.g. 2 Ubuntu servers, a Proxmox cluster, Synology, etc.) and roughly how many developers/repos, I can lay out the exact architecture and installation steps.
Running your own CI/CD on bare metal or local servers without user limits or minute caps is entirely achievable. Depending on whether you want a lightweight modern containerized setup or a heavy-duty customizable automation server, several top-tier open-source tools fit this exact requirement.
Top Self-Hosted, Unlimited CI/CD Options
Jenkins — The Ultimate Customizable Automation Server
Best for: Complex pipelines, legacy systems, and maximum plugin flexibility.
Why it fits: 100% free and open-source, completely self-hosted, and has zero user limits or billing caps. You scale agents linearly based entirely on what your hardware can handle.
Trade-off: Maintenance overhead can be high, and configuring older freestyle or Jenkinsfile pipelines takes some learning.
Best for: Docker-centric workflows that want something faster and cleaner than Jenkins.
Why it fits: A community-driven fork of Drone CI, Woodpecker is built around containerized pipeline steps. It connects seamlessly to Gitea, GitHub, or GitLab, runs entirely on your own infrastructure, and imposes no restrictions on users or concurrent builds aside from your hardware limits.
Trade-off: Smaller plugin ecosystem compared to Jenkins or GitHub Actions, though most standard tasks run fine via Docker containers.
Best for: Teams that want self-hosted Git repositories tightly coupled with robust CI/CD.
Why it fits: GitLab's free self-hosted Community Edition gives you unlimited users and access to GitLab CI/CD . You register your own GitLab Runners on your hardware, meaning builds execute locally with zero minute restrictions.
Trade-off: Resource-heavy; running a full GitLab instance requires a decent amount of RAM and CPU overhead on your server.
Forgejo or Gitea + Act — The Lightweight GitHub Clone
Best for: Teams already familiar with GitHub Actions syntax who want a totally independent local server.
Why it fits: Forgejo and Gitea are ultra-lightweight self-hosted Git services. Forgejo features built-in Actions compatibility (using act_runner ) that lets you write standard GitHub Actions YAML files and execute them directly on your own hardware with no user caps.
To help narrow down the best fit, tell me:
What Git provider do you currently use (GitHub, GitLab, Gitea, or local raw Git)?
Do you prefer Docker-based pipeline steps or traditional script execution?
What kind of hardware are you deploying this on (a single mini-PC, a dedicated server, or a Kubernetes cluster)?
If your key requirements are self-hosted hardware and no per-user CI/CD usage limits, I’d look at these architectures:
Option 1: GitLab Self-Managed + your own runners
GitLab is probably the most straightforward if you want an integrated Git server, CI/CD, permissions, artifacts, containers, and deployment tooling.
Install GitLab Self-Managed on your server.
Run GitLab Runner on your own machines.
Add as many runner machines/concurrent workers as your hardware can support.
Your own runners don't consume GitLab.com's shared-runner compute minutes.
Self-managed GitLab's Free tier is not subject to the 5-user limit that applies to GitLab.com Free.
GitLab also documents configurable per-user pipeline rate limits, but those limits default to 0 (no limit) on new installations.
Important distinction: "unlimited CI usage" and "unlimited users" aren't quite the same thing. Paid GitLab Self-Managed subscriptions are seat-based, so if you literally need unlimited human accounts without per-user licensing, I'd avoid assuming paid GitLab gives you that.
Option 2: Woodpecker CI + your existing Git forge
If you already have GitHub/GitLab/Gitea/Forgejo for source control and mainly need the CI engine, Woodpecker CI is worth considering. It is designed around a self-hosted server/agent architecture and gets its users through the connected Git forge rather than maintaining a separate user-registration system.
This can give you a very lightweight setup:
┌──────────────┐
Developers ─────►│ Git Forge │
│ GitLab/Gitea │
└──────┬───────┘
│ webhook
▼
┌──────────────┐
│ CI Server │
│ Woodpecker │
└──────┬───────┘
│
┌─────────┼─────────┐
▼ ▼ ▼
Runner 1 Runner 2 Runner 3
your HW your HW your HW
Your actual CI capacity is then primarily constrained by your hardware, rather than a hosted CI minute allowance.
What I'd build
For a small/medium organization, I'd use:
Forge: GitLab Self-Managed, or Gitea/Forgejo if you want something lighter.
CI: GitLab Runner if using GitLab; Woodpecker if separating CI from the forge.
Execution: Docker containers on dedicated runner machines.
Artifacts:MinIO or another S3-compatible object store.
Deployment: An internal Kubernetes cluster, Docker hosts, or Ansible depending on complexity.
Networking: Keep runners and deployment targets on your private network; expose only the forge/webhook endpoint as necessary.
If you tell me roughly how many developers/repos you have, whether you need Git hosting too, and what hardware/OS you already own, I can give you a concrete architecture and docker-compose/configuration for it.
This can give you a very lightweight setup:
┌──────────────┐
Developers ─────►│ Git Forge │
│ GitLab/Gitea │
└──────┬───────┘
│ webhook
▼
┌──────────────┐
│ CI Server │
│ Woodpecker │
└──────┬───────┘
│
┌─────────┼─────────┐
▼ ▼ ▼
Runner 1 Runner 2 Runner 3
your HW your HW your HW
Use a self-hosted CI/CD system. The common choices are:
Jenkins — fully self-hosted, open source, runs on your hardware, no per-user limits. You manage agents, storage, and scaling.
GitLab Self-Managed + self-managed runners — host GitLab yourself and run CI jobs on your own machines. GitLab runners can be installed and managed on your infrastructure, with concurrency controlled by your hardware capacity rather than hosted-runner quotas.
GitHub Actions self-hosted runners — keep GitHub repos/workflows while executing jobs on your servers.
Buildkite — self-hosted agents with a hosted control plane.
For a “no per-user limits” setup, a typical architecture is:
Git server
|
v
CI controller (Jenkins / GitLab / GitHub)
|
+--> Build servers (your hardware)
+--> Test servers
+--> Deployment machines
Recommended stack:
GitLab Self-Managed + Docker runners if you want an integrated Git platform.
Jenkins + Docker agents if you want maximum flexibility.
To run a CI/CD pipeline completely on your own hardware with zero per-user limits , you have a few powerhouse options. They range from traditional automation servers to cloud-native, Kubernetes-native engines and hybrid setups.
Here are the best choices depending on your style and stack:
Jenkins — The classic self-hosted automation server. It is completely free, open-source, and bound only by the hardware you throw at it. It features a massive plugin ecosystem supporting almost any integration imaginable. No user limits, no minute limits—just raw control (and the responsibility of managing it).
Woodpecker CI — A simple, lightweight, and fast CI/CD engine built on containers. It's a clean fork of Drone CI and is exceptionally easy to self-host via Docker. It integrates smoothly with Forgejo, Gitea, and GitHub, consuming minimal resources while scaling across your own nodes.
Argo Workflows / Tekton — If your hardware runs on Kubernetes, these are top-tier choices. Argo Workflows is a container-native workflow engine for orchestrating parallel jobs on Kubernetes with an intuitive UI and zero artificial pricing throttles.
GitLab Self-Managed (Free Tier) — You can spin up an instance of GitLab Community Edition on your own server. You get the phenomenal GitLab CI/CD pipeline engine, unlimited users (on the free self-hosted tier), and you just register your own local GitLab Runners to execute jobs on your hardware without paying a dime or hitting minute caps.
Forgejo / Gitea Actions — If you want a self-hosted GitHub alternative, Forgejo (a community-driven fork of Gitea) supports Gitea Actions, which are 100% compatible with GitHub Actions YAML syntax. You run the Forgejo server and your own action runners locally.
To help narrow down the best fit, tell me:
Where is your code hosted? (e.g., GitHub, self-hosted Gitea/Forgejo, GitLab, or raw Git)
What does your infrastructure look like? (e.g., a single old PC/mini-server, a dedicated Linux rig, or a Kubernetes cluster)
What tech stack/languages do you primarily need to build and test?
Yes. If your requirements are self-hosted hardware + no per-user CI limits, I’d shortlist these:
GitLab Self-Managed + GitLab Runner — probably the best all-around choice. You host GitLab and the runners on your own servers, and self-managed runners are available across GitLab tiers. You control the runner hardware and concurrency.
Jenkins — very mature and extremely flexible. You can run the controller and as many agents/executors as your hardware supports; concurrency is governed by your configured executors rather than a SaaS per-user quota.
GitLab.com + self-managed runners — if you don't need to host the Git repository/UI yourself, you can keep GitLab.com while running CI jobs on your own machines. GitLab explicitly supports self-managed runners with GitLab.com.
My recommendation
For a new setup, I'd choose GitLab Self-Managed + Docker-based GitLab Runners:
You can add machines to increase parallelism rather than buying additional CI-user capacity. GitLab supports instance, group, and project runners, so you can decide whether your entire organization or only particular projects can use them.
One important caveat: "no per-user limits" doesn't mean unlimited compute. Your practical limit becomes CPU, RAM, storage, network bandwidth, and the number of runner executors you configure.
For security, I'd use ephemeral Docker/VM runners for untrusted projects rather than letting arbitrary CI code execute directly on a persistent shared host. GitLab specifically warns that non-ephemeral shared runners can allow malicious CI code from one project to compromise the runner environment and potentially affect other projects.
If you tell me (1) how many developers, (2) Linux/Windows, (3) GitHub/GitLab/Bitbucket or self-hosted Git, and (4) roughly what hardware you have, I can give you a concrete architecture and docker-compose.yml/pipeline configuration.
To run a completely free, self-hosted CI/CD pipeline on your own hardware with zero per-user limits or minute caps, open-source automation servers and container-native orchestrators are your best approach.
The top self-hosted options tailored for this setup include:
Jenkins : The classic automation server. It is completely free and open-source, features a massive plugin ecosystem for almost any deployment target, and handles unlimited users and build agents (limited only by your own hardware capacity).
Woodpecker CI : A lightweight, fast, and simple CI/CD engine built on top of Docker containers. It’s a clean fork of Drone CI, highly resource-efficient, and integrates natively with Git providers like Gitea, Forgejo, GitHub, or GitLab.
GitLab CE (Community Edition) : If you want an all-in-one source control and CI/CD platform. Self-hosting the free GitLab Community Edition gives you unlimited CI/CD minutes and unlimited users when paired with your own self-hosted GitLab Runners.
Concourse CI : An opinionated, incredibly robust CI/CD system designed around reproducible "pipelines" and "resources" where every task runs in a clean, isolated container.
Agola : A modern, flexible, and scalable self-hosted CI/CD platform that can run workflows locally or distributed across your own infrastructure without artificial licensing tiers.
If you'd like to narrow this down, tell me:
What Git hosting do you use (GitHub, Gitea, local Git, etc.)?
Do you prefer a lightweight container-based setup (like Woodpecker) or a heavy-duty traditional server (like Jenkins)?
I can help you pick the right tool and draft an initial configuration.
Running a self-hosted CI/CD pipeline on your own hardware completely bypasses per-minute, per-user, or seat-based billing limits . Your only constraints will be the CPU, RAM, and storage of the machine(s) you allocate.
The top open-source and self-hosted CI/CD tools fit different setups and workflows:
Jenkins – The classic, heavily battle-tested automation server. It is entirely free, open-source, and runs locally via a Docker container or direct installation. It features a massive plugin ecosystem to connect with virtually any version control or deployment target, though its UI and configuration can feel dated or complex to maintain.
Forgejo / Gitea Actions – If you want a lightweight, modern Git service with built-in CI/CD modeled closely after GitHub Actions, Forgejo (a community-led fork of Gitea) or Gitea with Gitea Actions is fantastic. It runs exceptionally well on modest hardware (like a Raspberry Pi or local mini-PC) and uses standard YAML workflow files.
GitLab Community Edition (CE) – Running a self-hosted instance of GitLab CE gives you an all-in-one platform featuring issue tracking, code repositories, and powerful built-in CI/CD runners. You can scale up as many local GitLab Runners as your hardware can handle with zero user limits.
Woodpecker CI – A simple, fast, and container-native CI/CD engine that is a fork of Drone CI. It integrates cleanly with Gitea, GitHub, or GitLab, consumes very few system resources, and defines pipelines using simple YAML files.
Tekton – If you are already running or comfortable with Kubernetes on your local hardware, Tekton provides a Kubernetes-native framework to run CI/CD pipelines as custom resources inside your cluster, scaling individual steps dynamically.
To help narrow down the best fit, tell me:
What Git hosting are you using (GitHub, local Gitea, GitLab, or something else)?
What kind of hardware do you have available (an old laptop, a dedicated server, a Raspberry Pi, or a Kubernetes cluster)?
What is your preferred pipeline definition style (classic UI configuration or code-as-YAML)?
You can add runners as your hardware grows. GitLab supports instance, group, and project runners, and lets administrators control runner capacity.
If you instead want GitLab.com as the control plane, bringing your own runners also avoids the hosted-runner compute quota: GitLab says jobs executed on your own runners don't use compute minutes and have unlimited build time.
If you want something lighter
Jenkins is the other strong choice. It's an open-source automation server that you install entirely on your infrastructure, with pipelines for building, testing, and deployment.
I'd choose:
GitLab Self-Managed if you want Git hosting + merge requests + registry + CI/CD + permissions in one system.
Jenkins if you already have Git hosting elsewhere and primarily need a highly customizable CI/CD engine.
GitLab.com + self-managed runners if you don't want to operate GitLab itself but need your builds to run indefinitely on your hardware.
One important caveat: “unlimited” means no vendor-imposed per-user compute quota; your actual throughput is still limited by the CPU, RAM, storage, and number of runners on your hardware. Also, self-hosted runners execute repository-controlled code, so isolation matters—GitLab specifically recommends considering ephemeral machines/network segmentation for untrusted workloads.
If you tell me what hardware/OS you have (e.g. 2 Ubuntu servers, Proxmox, Kubernetes, etc.) and where your Git repos are (GitHub/GitLab/Gitea/etc.), I can give you a concrete architecture and deployment files.
GitLab's Free self-managed offering explicitly has no five-user maximum, and self-managed runners run on infrastructure you control.
You can add runners as your hardware grows. GitLab supports instance, group, and project runners, and lets administrators control runner capacity.
If you instead want GitLab.com as the control plane, bringing your own runners also avoids the hosted-runner compute quota: GitLab says jobs executed on your own runners don't use compute minutes and have unlimited build time.
Yes. If the key requirements are runs on your own hardware and no per-user CI/CD quota, I’d shortlist these:
Option
Runs on your hardware
Per-user CI limits
Best for
Jenkins
✅
No hosted-service quota
Maximum flexibility
GitLab Self-Managed + own runners
✅
Configurable; self-hosted execution is not subject to GitLab.com compute-minute quotas
Git hosting + CI/CD in one platform
GitLab.com + self-managed runners
✅ runners
Own runners don't consume GitLab.com compute minutes
Keep GitLab SaaS, control build machines
My recommendation: Jenkins
Jenkins is probably the cleanest fit if "no per-user limits" is a hard requirement. It's an open-source automation server that you install yourself, and its architecture lets you attach as many build agents/executors as your hardware can support.
Jenkins supports multiple agents, and the number of executors on each agent controls how many jobs can run concurrently. Jenkins You can also run pipeline stages inside Docker containers, which makes builds much easier to reproduce.
Another strong choice: GitLab
If you also want your Git hosting, merge requests, issue tracking, registry, and CI/CD on your own infrastructure, I'd choose GitLab Self-Managed.
GitLab supports self-managed runners on your own infrastructure, including Shell, Docker, and Kubernetes executors.
One important distinction: GitLab's self-managed product has its own licensing/user model, so "unlimited users" and "unlimited CI execution" are separate questions. GitLab's current pricing documentation says the Free self-managed offering isn't subject to the GitLab.com Free 5-user restriction, while paid self-managed subscriptions use a seat-based model.
If what you specifically mean is "I don't want GitHub/GitLab charging me according to the number of developers or CI minutes", I'd lean toward:
Jenkins + your existing Git server + Docker-based build agents.
Your practical limit then becomes your own CPU/RAM/storage/network capacity, rather than a SaaS per-user or build-minute quota.
If you tell me whether your hardware is Linux server, Windows, NAS, Proxmox, Kubernetes, or something else, I can give you a concrete architecture and installation plan.
