Podman: The Complete Guide to Rootless, Daemonless Containers
Podman is an open-source container engine designed to build, run, manage, and deploy OCI containers and pods. It provides a Docker-compatible CLI experience while taking a fundamentally different approach: Podman is daemonless and can run containers rootlessly as a regular Linux user.
For developers, DevOps engineers, SREs, platform engineers, and administrators, Podman is particularly interesting when you want containerization without depending on a permanently running privileged daemon.
1. What is Podman?
Podman originally stands for Pod Manager.
It provides commands for:
- Running containers
- Building images
- Managing images
- Managing pods
- Creating networks
- Managing volumes
- Running containers without root
- Integrating containers with systemd
- Running Kubernetes YAML locally
- Working with OCI-compatible images and runtimes
A major design characteristic is that Podman is daemonless. Unlike the traditional Docker architecture, there isn't a central Docker daemon that all local container operations must go through.
Conceptually:
Traditional Docker-style model User | v Docker CLI | v Docker Daemon | +---- Container +---- Container +---- Image +---- Network
Podman:
User | v Podman CLI | +---- Container +---- Container +---- Pod +---- Image +---- Network
That architectural difference becomes especially important for rootless containers and systemd-based deployments.
2. Podman vs Docker
Podman is often introduced as a Docker alternative, but the distinction is more precise than simply saying "Docker without Docker."
| Feature | Podman | Docker |
|---|---|---|
| Daemon | Daemonless | Docker daemon |
| Rootless containers | Yes | Yes, with Docker rootless mode |
| CLI familiarity | Docker-compatible style | Native |
| OCI containers | Yes | Yes |
| Pods | Native concept | Not the primary abstraction |
| Kubernetes YAML | Strong integration | Indirect |
| systemd integration | Excellent with Quadlet | Possible, but different model |
| Docker Compose | Via external Compose provider | Native Docker Compose ecosystem |
| Image ecosystem | OCI/Docker registries | OCI/Docker registries |
| Windows/macOS | Podman machine | Docker Desktop/VM-based architecture |
| Enterprise Linux integration | Strong | Strong |
Podman itself describes its CLI as Docker-compatible enough to ease migration from other container engines.
The important point is:
Podman and Docker solve many of the same container-management problems, but their operational models differ.
3. Why Daemonless Architecture Matters
With Docker, the CLI normally communicates with the Docker daemon.
Podman doesn't require a permanently running central daemon for ordinary local container operations.
That can simplify:
- Security boundaries
- Rootless execution
- Troubleshooting
- Systemd integration
- Server administration
Podman can also operate remotely when required, so "daemonless" does not mean Podman cannot expose a service/API model.
4. Rootless Containers
One of Podman's most important features is rootless container execution.
For example:
podman run --rm docker.io/library/alpine:latest \ echo "Hello from Podman"
You can run this as a normal user.
Podman's rootless mode uses Linux user namespaces. User mappings are typically configured using:
/etc/subuid /etc/subgid
Podman documents subordinate UID/GID ranges as part of rootless configuration.
Conceptually:
Linux Host │ ├── User: shashwat │ │ └── Rootless Podman │ │ │ ├── Container A │ ├── Container B │ └── Container C │ └── Other Users
Containers created by one rootless user are not automatically visible/manageable by another user or by root's Podman environment.
5. Why Rootless Matters for Security
Consider a traditional privileged container workflow:
Application | Container | Container Runtime | Root privileges | Host
With rootless Podman:
Application | Container | User Namespace | Normal User | Host
The security boundary is not magically perfect, but the container process is constrained by the privileges of the launching user.
Podman's documentation explicitly notes that rootless containers cannot have more privileges than the user who launched them.
This makes rootless execution particularly attractive for:
- Developer workstations
- CI runners
- Shared Linux systems
- Development servers
- Build environments
- Security-sensitive workloads
6. Installing Podman
On modern Ubuntu systems, Podman is available through the official Ubuntu repositories.
sudo apt update sudo apt install -y podman
Then verify:
podman --version
And:
podman info
The official Podman installation documentation lists Ubuntu 20.10 and newer as having Podman available in the official repositories.
For your Ubuntu server environment, this is generally the first installation path I'd test before considering a third-party repository.
7. Your First Podman Container
Pull an image:
podman pull docker.io/library/nginx:latest
List images:
podman images
Run NGINX:
podman run -d \ --name nginx \ -p 8080:80 \ docker.io/library/nginx:latest
Check:
podman ps
Then:
curl http://localhost:8080
Podman's official getting-started documentation uses the same basic workflow of pulling an image, listing images, and running a published HTTP container.
8. Essential Podman Commands
Images
podman images
Pull:
podman pull nginx
Remove:
podman rmi nginx
Inspect:
podman inspect nginx
Search:
podman search nginx
The full registry name is preferable when you want to remove ambiguity:
podman pull docker.io/library/nginx
Podman's documentation specifically recommends using fully qualified image names when appropriate.
9. Container Lifecycle
Create:
podman create --name web nginx
Start:
podman start web
Stop:
podman stop web
Restart:
podman restart web
Remove:
podman rm web
List running containers:
podman ps
List everything:
podman ps -a
View logs:
podman logs web
Follow logs:
podman logs -f web
Execute a command:
podman exec -it web /bin/bash
10. Running Interactive Containers
For troubleshooting:
podman run --rm -it alpine /bin/sh
Now:
cat /etc/os-release
or:
ps
Exit:
exit
Because of --rm, the container is automatically removed after it exits.
11. Container Ports
Podman supports the familiar:
-p HOST_PORT:CONTAINER_PORT
Example:
podman run -d \ --name web \ -p 8080:80 \ nginx
Architecture:
Browser | | TCP 8080 v Linux Host | | Port mapping v Podman Container | | TCP 80 v NGINX
Podman's --publish option maps container ports onto host ports.
12. Volumes
Containers are ephemeral by design.
Persistent data should normally live outside the container's writable layer.
Create a volume:
podman volume create nginx-data
Use it:
podman run -d \ --name nginx \ -v nginx-data:/usr/share/nginx/html \ nginx
List volumes:
podman volume ls
Inspect:
podman volume inspect nginx-data
Remove:
podman volume rm nginx-data
13. Bind Mounts
You can also mount host directories.
mkdir -p ~/web podman run -d \ --name nginx \ -p 8080:80 \ -v ~/web:/usr/share/nginx/html:Z \ nginx
On SELinux-enabled systems, appropriate labeling options such as :Z or :z can matter.
14. Podman Pods
This is where Podman becomes particularly interesting.
Unlike Docker's traditional container-centric model, pods are a native Podman abstraction.
Create a pod:
podman pod create \ --name webpod \ -p 8080:80
Run a container inside it:
podman run -d \ --pod webpod \ nginx
List pods:
podman pod ls
Inspect:
podman pod inspect webpod
Stop:
podman pod stop webpod
Remove:
podman pod rm webpod
Conceptually:
Pod │ ├── Infra container │ ├── NGINX container │ ├── Application container │ └── Sidecar container
Containers inside the same pod can share networking and other namespaces depending on configuration.
15. Why Pods Are Useful
Consider an application:
Application | +---- Main application | +---- Logging sidecar | +---- Metrics exporter
Instead of treating these as completely unrelated containers, you can group them into a Podman pod.
This resembles the Kubernetes pod model.
That makes Podman particularly useful for developers who want to understand Kubernetes concepts locally.
16. Building Images
Podman can build container images.
Create:
myapp/ ├── Containerfile └── app.py
Example Containerfile:
FROM python:3.12-slim WORKDIR /app COPY app.py . CMD ["python", "app.py"]
Build:
podman build -t myapp:1.0 .
Run:
podman run --rm myapp:1.0
Podman uses Buildah internally for image creation and shares image storage with Buildah.
17. Dockerfile vs Containerfile
Podman commonly uses:
Containerfile
But Dockerfile syntax is also widely supported.
For example:
FROM ubuntu:24.04 RUN apt-get update && \ apt-get install -y nginx && \ rm -rf /var/lib/apt/lists/* EXPOSE 80 CMD ["nginx", "-g", "daemon off;"]
Build:
podman build -t my-nginx .
The container image itself follows OCI-compatible conventions.
18. Podman and Buildah
The relationship is roughly:
Buildah | | Build images v Container Image | v Podman | +---- Run +---- Manage +---- Network +---- Volumes +---- Pods
A common Red Hat ecosystem pattern is:
Buildah → Build Podman → Run Skopeo → Copy/Inspect Images
This separation can be useful in enterprise container pipelines.
19. Podman Networking
Podman supports container networks.
Create:
podman network create appnet
Run:
podman run -d \ --name redis \ --network appnet \ redis
Another container:
podman run -it \ --network appnet \ alpine
Podman supports multiple networking modes, including private networking, host networking, and rootless networking using pasta.
20. Rootless Networking
Rootless networking has additional considerations because an unprivileged user cannot directly configure networking in exactly the same way as root.
Current Podman documentation describes pasta as the default rootless networking mechanism in current configurations.
This is one reason why networking behavior can sometimes differ between:
sudo podman ...
and:
podman ...
Avoid mixing rootful and rootless workflows unless you understand the consequences.
21. Rootful vs Rootless Podman
Rootful
sudo podman ps
Data typically lives under system-level container storage.
Rootless
podman ps
Data is associated with the user.
Podman's default rootless storage is under the user's container-storage hierarchy, while rootful storage defaults to /var/lib/containers/storage.
A common administration mistake is:
podman images
followed by:
sudo podman images
and wondering why the image lists are different.
They are different container-storage contexts.
22. Podman Compose
Podman supports:
podman compose
But an important detail is that this command is a wrapper around an external Compose provider such as docker-compose or podman-compose; it is not itself the full Compose implementation.
For example:
services: web: image: nginx ports: - "8080:80" redis: image: redis
Then:
podman compose up -d
Check:
podman ps
This makes migrating many development workflows from Docker Compose relatively straightforward.
23. Podman and Kubernetes
One of Podman's strongest features is its Kubernetes integration.
You can run Kubernetes YAML using:
podman kube play deployment.yaml
The current command is:
podman kube play
and podman play kube is an alias.
For example:
apiVersion: v1 kind: Pod metadata: name: nginx-pod spec: containers: - name: nginx image: nginx:latest ports: - containerPort: 80
Run:
podman kube play nginx.yaml
This creates the corresponding Podman resources.
24. Kubernetes YAML → Podman
This creates an interesting local development workflow:
Kubernetes YAML | v podman kube play | v Podman Pod | +---- Container +---- Container
Podman currently supports several Kubernetes resource kinds through kube play, including Pods, Deployments, PVCs, ConfigMaps, Secrets, DaemonSets, and Jobs, with support depending on the resource/field.
However:
Podman is not a Kubernetes cluster.
It doesn't reproduce Kubernetes control-plane scheduling, controllers, distributed reconciliation, etc.
It is useful for local execution and testing of supported Kubernetes-style YAML, not as a drop-in replacement for a Kubernetes control plane.
25. Podman → Kubernetes YAML
The reverse direction is also possible.
For example:
podman generate kube mycontainer
or:
podman generate kube mypod
This generates Kubernetes-style YAML based on Podman containers/pods.
That gives you a useful workflow:
Podman | | develop locally v Container / Pod | | podman generate kube v Kubernetes YAML | v Kubernetes
This is particularly useful for experimentation and migration workflows, although generated YAML should still be reviewed before production Kubernetes deployment.
26. Podman + systemd
This is one of the most powerful Podman features for Linux servers.
Instead of manually running:
podman run ...
you can integrate containers with:
systemd
Podman provides Quadlet for defining containers, pods, volumes, networks and related resources declaratively for systemd.
Conceptually:
Quadlet | v systemd | v Podman | v Container
27. Example Quadlet Container
Create:
~/.config/containers/systemd/nginx.container
Example:
[Unit] Description=NGINX Container [Container] Image=docker.io/library/nginx:latest ContainerName=nginx PublishPort=8080:80 [Service] Restart=always [Install] WantedBy=default.target
Then:
systemctl --user daemon-reload
Start:
systemctl --user start nginx.service
Check:
systemctl --user status nginx.service
Quadlet files are translated into systemd units through Podman's systemd generator.
28. Why Quadlet Is Important
For Linux server workloads, you can effectively treat containers like native services.
Instead of:
podman run ...
every time the server boots, you have:
systemd | +---- nginx.service | +---- redis.service | +---- application.service
This is especially attractive for:
- Small production servers
- Home labs
- Edge servers
- AI servers
- Monitoring systems
- Internal services
- Single-node application stacks
29. Rootless systemd Containers
A particularly useful pattern is:
Normal Linux User | v systemd --user | v Quadlet | v Rootless Podman | v Container
This lets you run persistent services without giving the application administrator full root privileges.
For long-running services, you should also understand user lingering:
loginctl enable-linger $USER
This allows the user's systemd instance to remain available after logout, depending on the system's configuration.
30. Podman Security
Podman's security model can combine several Linux security mechanisms:
- User namespaces
- SELinux
- AppArmor
- Seccomp
- Linux capabilities
- cgroups
- Read-only filesystems
- Device restrictions
Avoid using:
--privileged
unless you have a specific, justified requirement.
Podman's documentation notes that privileged containers disable or weaken multiple isolation/security mechanisms and should generally be avoided.
A better approach is usually to grant only what the application actually needs.
31. Capabilities
Linux capabilities allow fine-grained privilege assignment.
Instead of:
--privileged
you might use:
--cap-add=NET_ADMIN
or remove unnecessary capabilities:
--cap-drop=ALL
and selectively add required capabilities.
This follows the principle:
Minimum privilege required to perform the workload.
32. Health Checks
Podman supports container health checks.
Example:
podman run -d \ --name web \ -p 8080:80 \ --health-cmd 'curl -f http://127.0.0.1:80 || exit 1' \ --health-interval 30s \ --health-timeout 5s \ --health-retries 3 \ nginx
Inspect:
podman inspect web
Health checks can become an important component of service automation and monitoring.
33. Registries
Podman works with container registries.
Examples include:
Docker Hub Quay.io GitHub Container Registry Private registries Enterprise registries
Login:
podman login registry.example.com
Pull:
podman pull registry.example.com/myteam/myapp:1.0
Push:
podman push \ myapp:1.0 \ registry.example.com/myteam/myapp:1.0
Registry configuration is controlled through Podman's container configuration, including registries.conf.
34. Image Security
In production, don't blindly execute:
podman pull something
and assume the image is trustworthy.
Use:
- Trusted registries
- Immutable version tags
- Image digests
- Image scanning
- Signature verification
- Minimal base images
- SBOMs
- Regular rebuilds
For example:
nginx:latest
is mutable.
A digest identifies a specific image content:
nginx@sha256:...
For reproducible production deployments, digests can be preferable to floating tags.
35. Podman Architecture
A simplified architecture looks like this:
Linux Host ┌──────────────────────────────────────────────┐ │ │ │ Podman CLI │ │ │ │ │ ▼ │ │ Container Management │ │ │ │ │ ┌──────────────┼──────────────┐ │ │ ▼ ▼ ▼ │ │ Containers Pods Images │ │ │ │ │ │ │ └──────────────┼──────────────┘ │ │ ▼ │ │ OCI Runtime │ │ crun / runc │ │ │ │ │ ▼ │ │ Linux Kernel │ │ │ └──────────────────────────────────────────────┘
Podman can use an OCI-compatible runtime; current documentation notes crun as the default runtime on systems using cgroup v2 where configured accordingly, while runc is another supported runtime.
36. Podman + conmon
Podman also uses conmon, the container monitor.
Simplified:
Podman | v conmon | v OCI Runtime | v Container Process
Conmon watches the container's primary process and handles things such as exit status and terminal attachment.
This contributes to Podman's daemonless model.
37. Podman Storage
Podman relies on container storage mechanisms to maintain:
Images Layers Container writable layers Volumes Metadata
Rootful default storage:
/var/lib/containers/storage
Rootless storage is normally under the user's home/XDG data hierarchy.
Useful commands:
podman system df
and:
podman info
38. Cleaning Podman
See disk usage:
podman system df
Remove stopped containers:
podman container prune
Remove unused images:
podman image prune
More aggressive cleanup:
podman system prune
Be careful with aggressive cleanup on production systems.
39. Environment Variables
Example:
podman run -d \ --name app \ -e APP_ENV=production \ -e DATABASE_HOST=db \ myapp:1.0
Or:
podman run --env-file=.env myapp:1.0
For production secrets, avoid committing .env files into Git.
Use an appropriate secret-management solution.
40. Podman Secrets
Podman provides secret-management functionality for containers.
Conceptually:
Secret | v Podman | v Container
This is preferable to embedding credentials directly into an image:
ENV DATABASE_PASSWORD=mysecret
Never put production credentials into:
- Dockerfiles
- Containerfiles
- Git repositories
- Public image layers
41. Podman Auto-Updates
Podman supports mechanisms for updating containers based on image changes, including integration with systemd/Quadlet workflows.
This can support patterns such as:
Registry | | New image v Podman | v Update | v Restart service
But automatic updates should be implemented carefully in production.
Blindly replacing production workloads whenever a latest image changes is not a deployment strategy.
A controlled pipeline is preferable:
Build ↓ Test ↓ Scan ↓ Approve ↓ Tag ↓ Deploy
42. Podman in CI/CD
Podman fits well into CI/CD pipelines.
Example:
Git Push | v CI Runner | +---- podman build | +---- Security Scan | +---- Tests | +---- podman push | v Container Registry | v Deployment
A CI runner can build OCI images without requiring a traditional Docker daemon.
43. Podman for Microservices
Consider:
Frontend | v API | +---- PostgreSQL | +---- Redis | +---- Worker
Podman can run the complete stack:
Podman │ ├── frontend ├── api ├── postgres ├── redis └── worker
For development, Compose can simplify orchestration.
For a single Linux server, Quadlet/systemd can be an excellent operational model.
For a large multi-node environment, Kubernetes or another orchestrator may be more appropriate.
44. Podman vs Kubernetes
This distinction is critical.
Podman
Primarily:
Container Engine
Kubernetes
Primarily:
Container Orchestration Platform
Kubernetes provides:
- Cluster scheduling
- Controllers
- Service discovery
- Deployments
- StatefulSets
- DaemonSets
- ConfigMaps
- Secrets
- Ingress
- Operators
- Cluster autoscaling
- Distributed reconciliation
Podman does not attempt to replicate the entire Kubernetes control plane.
A useful architecture is therefore:
Developer Laptop | v Podman | v Local Testing | v Kubernetes | v Production Cluster
45. Podman vs Docker vs Kubernetes
Think of the technologies as different layers:
APPLICATION │ ┌───────────┴───────────┐ │ │ Container Container │ │ └───────────┬───────────┘ │ Container Engine ┌────────┴────────┐ │ │ Podman Docker │ │ └────────┬────────┘ │ Kubernetes Orchestrates many nodes
They're not always direct substitutes.
46. Podman on Windows and macOS
Podman can run on Windows and macOS, but Linux containers require a Linux environment.
Podman provides a Podman machine abstraction for this.
On macOS:
podman machine init podman machine start podman info
On Windows, Podman uses a WSLv2-backed machine for its container environment.
So:
Windows | v WSLv2 / Podman Machine | v Podman | v Linux Containers
47. Troubleshooting Podman
Check installation
podman --version
Detailed system information
podman info
Check containers
podman ps -a
Check logs
podman logs <container>
Inspect configuration
podman inspect <container>
Check images
podman images
Check networks
podman network ls
Check volumes
podman volume ls
48. Rootless Troubleshooting
If rootless Podman behaves unexpectedly, check:
cat /etc/subuid cat /etc/subgid
You can also inspect:
podman info
If the user does not have suitable subordinate UID/GID ranges, rootless containers may fail to operate correctly.
On some systems, storage/network dependencies such as fuse-overlayfs and rootless networking tools can also matter.
49. Common Podman Problems
Problem 1 — Image exists under root but not user
You ran:
sudo podman pull nginx
Then:
podman images
No image.
Reason: different storage contexts.
Problem 2 — Port already in use
bind: address already in use
Check:
sudo ss -lntp | grep 8080
Then choose another port:
-p 8081:80
Problem 3 — Rootless networking
Check:
podman info
and inspect network configuration.
Current Podman rootless networking uses pasta by default in the documented configuration.
Problem 4 — Permission denied on mounted directory
Check:
ls -ld /path/to/directory
For SELinux environments, check labeling and mount options.
Problem 5 — Container immediately exits
Run:
podman ps -a
Then:
podman logs <container>
and:
podman inspect <container>
Usually the container's primary process has exited.
50. Production Architecture with Podman
For a single Linux server:
Linux Server │ systemd │ Quadlet │ ┌──────────────┼──────────────┐ │ │ │ Web App Redis PostgreSQL │ │ │ └──────────────┼──────────────┘ │ Podman
This is a very practical architecture for:
- Home labs
- Internal tools
- AI servers
- Small SaaS deployments
- Monitoring stacks
- Web applications
- Edge servers
51. Podman + AI Server
For a local AI server, Podman can be used to isolate:
AI Server │ ├── Ollama ├── Open WebUI ├── PostgreSQL ├── Redis ├── FastAPI ├── ComfyUI ├── TTS service └── Monitoring
For example:
Podman │ ├── ollama │ ├── open-webui │ ├── postgres │ ├── redis │ ├── fastapi │ └── monitoring
With GPU workloads, device exposure and runtime configuration require additional consideration; Podman also supports CDI-based device selection in its Kubernetes YAML workflow.
52. A Practical Podman Project Structure
A clean project might look like:
myapp/ │ ├── Containerfile ├── compose.yaml ├── .env ├── app/ │ ├── main.py │ └── requirements.txt │ ├── quadlet/ │ └── myapp.container │ └── k8s/ └── deployment.yaml
This allows the same application to have multiple deployment representations:
Containerfile │ ├── Podman │ ├── Compose │ ├── Quadlet/systemd │ └── Kubernetes
53. Recommended DevOps Workflow
A mature Podman workflow could look like:
Developer │ v Git │ v Containerfile │ v Podman / Buildah │ v Image │ v Security Scan │ v Registry │ v Deployment │ ├── Podman + Quadlet │ └── Kubernetes
This keeps the image artifact separate from the deployment platform.
54. Important Best Practices
1. Prefer rootless when practical
podman ps
instead of automatically using:
sudo podman ps
2. Don't use latest blindly
Prefer:
myapp:1.4.2
or a digest.
3. Keep containers immutable
Don't manually modify production containers.
Instead:
Code ↓ Build ↓ Test ↓ Image ↓ Deploy
4. Don't bake secrets into images
Bad:
ENV PASSWORD=secret
Use secret-management mechanisms instead.
5. Avoid privileged containers
Use targeted capabilities and devices.
6. Use health checks
They make failure detection much easier.
7. Use Quadlet for long-running Linux services
Instead of maintaining large shell scripts containing:
podman run ...
use declarative Quadlet definitions and systemd.
8. Use Kubernetes when you actually need Kubernetes
Don't introduce Kubernetes simply because containers are involved.
For one server:
Podman + Quadlet
can be considerably simpler operationally.
For a large distributed platform:
Kubernetes
may provide the required orchestration capabilities.
55. Podman Cheat Sheet
Information
podman info podman version
Images
podman images podman pull IMAGE podman build -t IMAGE . podman rmi IMAGE podman inspect IMAGE
Containers
podman ps podman ps -a podman run IMAGE podman start CONTAINER podman stop CONTAINER podman restart CONTAINER podman rm CONTAINER podman logs CONTAINER podman exec -it CONTAINER bash
Networks
podman network ls podman network create NAME podman network inspect NAME podman network rm NAME
Volumes
podman volume ls podman volume create NAME podman volume inspect NAME podman volume rm NAME
Pods
podman pod ls podman pod create --name NAME podman pod inspect NAME podman pod stop NAME podman pod rm NAME
Kubernetes
podman kube play app.yaml podman kube down app.yaml podman generate kube CONTAINER
Cleanup
podman system df podman container prune podman image prune podman system prune
56. The Bigger Picture
Podman's real strength isn't simply:
"It's another Docker."
Its value is the combination of:
Daemonless + Rootless + OCI + Pods + systemd / Quadlet + Kubernetes YAML + Buildah ecosystem + Linux-native operation
That combination makes it particularly attractive on Linux servers where you want containers without turning container management into a separate infrastructure platform.
57. Final Takeaway
Podman fits into the container ecosystem roughly like this:
CONTAINER ECOSYSTEM ┌─────────────────────────────────┐ │ Container Image │ │ OCI / Docker Format │ └────────────────┬────────────────┘ │ ┌──────────┴──────────┐ │ │ Podman Docker │ │ ┌──────┼──────┐ │ │ │ │ │ Pods Quadlet Kube YAML │ │ │ │ │ └──────┼──────┘ │ │ │ systemd Docker Compose │ ▼ Linux Workloads
If Docker is the familiar container engine, Podman is the Linux-native, daemonless, rootless-oriented alternative with particularly strong integration with pods, systemd, and Kubernetes-style workflows. Its architecture makes it especially compelling for developers, DevOps engineers, SREs, homelabs, edge deployments, and single-server production workloads.
Official documentation
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