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2 changes: 1 addition & 1 deletion docs/getting_access/native_installation.md
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Expand Up @@ -93,7 +93,7 @@ The good news is that all of this only requires a handful commands :astonished:
```
Be aware that in such cases, the `DIRECT` directive is silently ignored.

## Installation for larger systems (e.g. clusters)
## Installation for larger systems (e.g. clusters) { #native-install-on-clusters }

When using CernVM-FS on a larger number of local clients, e.g. on a HPC cluster or set of workstations,
it is very strongly recommended to at least set up some Squid proxies close to your clients.
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50 changes: 50 additions & 0 deletions docs/site_build/overview.md
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# Introduction
This documentation is aimed at HPC sites or other facilities that make EESSI available on their system, but would like to offer additional installations that are performed 'on top' of EESSI (i.e. using dependencies provided by EESSI).

There are several reasons why, as a site, you may want to offer additional software on top of EESSI. For example:

1. You want to offer software that does is not suitable for upstream deployment in EESSI (e.g. because it is proprietary, or because it is a development build / otherwise very specific build that is not useful for a general audience).
2. You need to make software available on (very) short notice to your users, and cannot wait for it to be deployed in upstream EESSI.
3. You want to retain full autonomy over what gets deployed.

While all of these are valid arguments, note that there is also one major downside to deploying things locally: you loose one of the core benefits of EESSI, namely that it provides _the same software on every system_. The more site-specific installations you have, the more difficult it will be for your users to move their workflows from e.g. their own development machine/cloud environment to your cluster, or scale up to larger clusters. If you're doing site-builds to make software available to your users on short notice, we highly encourage you to _also_ contribute the same software installation in upstream EESSI. This way, once accepted upstream, users that rely on that software retain their 'mobility'.

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While all of these are valid arguments, note that there is also one major downside to deploying things locally: you loose one of the core benefits of EESSI, namely that it provides _the same software on every system_. The more site-specific installations you have, the more difficult it will be for your users to move their workflows from e.g. their own development machine/cloud environment to your cluster, or scale up to larger clusters. If you're doing site-builds to make software available to your users on short notice, we highly encourage you to _also_ contribute the same software installation in upstream EESSI. This way, once accepted upstream, users that rely on that software retain their 'mobility'.
While all of these are valid arguments, note that there is also one major downside to deploying things locally: you loose one of the core benefits of EESSI, namely that it provides _the same software on every system_. The more site-specific installations you have, the more difficult it will be for your users to move their workflows from, e.g., their own development machine/cloud environment to your cluster, or scale up to larger clusters. If you're doing site-builds to make software available to your users on short notice, we highly encourage you to _also_ contribute the same software installation in upstream EESSI. This way, once accepted upstream, users that rely on that software retain their 'mobility'.


# Choosing your approach
There are two approaches to doing site builds, each with their own advantages and disadvantages.

1. Perform site builds using EESSI-extend on a shared filesystem.
2. Leverage EESSI's build procedure for site builds. In this approach, you use the EESSI build bot (`EESSI/eessi-bot-software-layer`), together with the EESSI build scripts (`EESSI/software-layer-scripts`) to build and deploy software into a CernVM-FS repository of your own. Essentially, this means you'll build in a way that is essentially identical to how it is done for upstream EESSI - with the only major difference being the target CernVM-FS repository.

In both cases, you build 'on top' of EESSI, meaning that dependencies that are already provided by EESSI will not be reinstalled: they will simply be loaded from EESSI.

Here, we list some advantages and disadvantages to help you choose which approach best suites your requirements.

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Here, we list some advantages and disadvantages to help you choose which approach best suites your requirements.
Here, we list some advantages and disadvantages to help you choose which approach best suits your requirements.


## Approach 1: using EESSI-extend on shared FS

Advantages:

- Easy to get started: no additional setup or knowledge needed
- Automatically optimizes for the host on which you run the installation, and installs in architecture-specific prefix that matches the host architecture. This means you can install optimized software for each of your CPU/GPU architectures in an organized way.

Disadvantages:

- This is a manual procedure (unless you create your own automation around it). As such, doesn't scale well to installing large amounts of software and/or installing software for many different hardware targets.

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- This is a manual procedure (unless you create your own automation around it). As such, doesn't scale well to installing large amounts of software and/or installing software for many different hardware targets.
- This is a manual procedure (unless you create your own automation around it). As such, it doesn't scale well to installing large amounts of software and/or installing software for many different hardware targets.

- The fact that you get optimized installations means that on a very heterogeneous system, you will have to run the installation many times - once for each architecture on which you want to offer that particular piece of software.
- Shared filesystems (and especially _parallal_ filesystems) are generally ill-suited to serve software. This means start-up time can be quite long (you can find some numbers [here](../training-events/2025/tutorial-best-practices-cvmfs-hpc/performance.md)).

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- Shared filesystems (and especially _parallal_ filesystems) are generally ill-suited to serve software. This means start-up time can be quite long (you can find some numbers [here](../training-events/2025/tutorial-best-practices-cvmfs-hpc/performance.md)).
- Shared filesystems (and especially _parallel_ filesystems) are generally ill-suited to serve software. This means start-up time can be quite long (you can find some numbers [here](../training-events/2025/tutorial-best-practices-cvmfs-hpc/performance.md)).


## Approach 2: leveraging all of EESSI's tooling for site builds

Advantages:

- Highly automated
- Scalable to many architectures & installations
- Site builds are done based on a list of software in a GitHub repo - making it very transparent what is available / got added on your system
- Share maintenance on the automation with the EESSI community
- End-user look & feel are very similar to EESSI

Disadvantages

- More setup time
- Requires more extnesive knowledge (CVMFS, EESSI build bot, object store)

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Why is codespell not catching this?

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- Requires more extnesive knowledge (CVMFS, EESSI build bot, object store)
- Requires more extensive knowledge (CVMFS, EESSI build bot, object store)

- More hardware resources (CVMFS infrastructure, bot infrastructure)
- More components (software/hardware) to maintain
137 changes: 137 additions & 0 deletions docs/site_build/shared_fs.md
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# Site builds on top of a shared file system

For this approach we use a shared file system for doing site installations on top of EESSI.

The setup for this approach is very simple, and it allows you to quickly get started with making additional installations available to the users of your infrastructure.

## Requirements

The following setup is needed, and we assume this is already in place:

- EESSI is available on your build nodes (note that you still need to build on every CPU type that you want to support)
- See the [native installation page](../getting_access/native_installation.md) for instructions
- A shared file system to make the software installations available on all your nodes
- A user account with write access to the shared file system
- Optionally: Singularity or Apptainer to do the builds in a controlled and isolated environment

Ideally, you already have some workflow or automation in place to build software for your different node types.
It should be straightforward to adapt these for building on top of EESSI.

## Initialize EESSI and EESSI-extend

To get started, we need to initialize EESSI and load EESSI-extend on a build node, and we configure the EESSI environment for site installations.
This ensures that the installation directories will become world-readable.
By default, site installations will end up in the EESSI [host injections directory](../site_specific_config/host_injections.md).
If you have not configured this directory yet, it will point to `/opt/eessi`, meaning that your software installations will end up there as well.
Often you would want to use the host injections directory for node-specific files like GPU drivers,
while we would like the software installations to end up on the shared file system.
By setting the environment variable `$EESSI_SITE_SOFTWARE_PREFIX` before loading EESSI and EESSI-extend,
we can adjust the site software installation prefix and point it to the shared file system:

``` { .bash .copy }
export EESSI_SITE_INSTALL=1
export EESSI_SITE_SOFTWARE_PREFIX=/sharedfs/eessi
module load EESSI/2025.06
module load EESSI-extend
```

!!! note

Note that we have to pick a specific EESSI version here, depending on the toolchain of the software that we want to install.
See [EESSI versions](../repositories/versions/) for more information about the different EESSI versions.

## Start building

The environment should now be configured for doing site installations to the chosen prefix.
The `EESSI-extend` module automatically loads `EasyBuild`, and to be sure you can check its configuration:
``` { .bash .copy }
$ eb --show-config

#
# Current EasyBuild configuration
# (C: command line argument, D: default value, E: environment variable, F: configuration file)
#
allow-loaded-modules (E) = EasyBuild, EESSI-extend
buildpath (E) = /tmp/user/easybuild/build
bwrap-installpath (E) = /tmp/user/easybuild/bwrap
containerpath (E) = /tmp/user/easybuild/containers
cuda-sanity-check-error-on-failed-checks (E) = True
debug (E) = True
experimental (E) = True
fail-on-mod-files-gcccore (E) = True
filter-deps (E) = binutils, bzip2, DBus, flex, gettext, gperf, help2man, intltool, libreadline, makeinfo, ncurses, NVPL, ParMETIS, util-linux, XZ, zlib
filter-env-vars (E) = LD_LIBRARY_PATH
hooks (E) = /cvmfs/software.eessi.io/versions/2025.06/init/easybuild/eb_hooks.py
ignore-osdeps (E) = True
installpath (E) = /sharedfs/eessi/versions/2025.06/software/linux/x86_64/amd/zen3
...
```

Nowm, we can start building, e.g.:

``` { .bash .copy }
eb -r attr-2.5.2-GCCcore-14.3.0.eb
eb -r cowsay-3.04.eb
```

When the installation has completed, the software should be available in your prefix.

## Container

Instead of doing the builds on the host system itself, you could consider doing them in a container.
Using a minimal build container minimizes the risk of accidentally picking up host libraries (instead of the ones provided by EESSI),
and a container also provides a controlled and isolated environment.

In principle you could any container, as long as you make sure that both the EESSI CVMFS repository and your shared file system are available in the container.
Assuming both are available on the build host, you can simply bind mount both of them into the container.

You can also use the (`eessi_container.sh` script)[https://github.com/EESSI/software-layer-scripts/blob/main/eessi_container.sh], provided by EESSI,
which mounts the EESSI CVMFS repository inside the EESSI build container. In order to also bind mount your shared file system, you can use:
``` { .bash .copy }
eessi_container.sh -b $EESSI_SITE_SOFTWARE_PREFIX
```

In the container you can then use the same build procedure as described before.


## Using the software
The EESSI module should make sure that site installations are automatically picked up by the module environment,
as long as you make sure that `$EESSI_SITE_SOFTWARE_PREFIX` is always set to your prefix before loading the `EESSI` module:

``` { .bash .copy }
export EESSI_SITE_SOFTWARE_PREFIX=/sharedfs/eessi
module load EESSI/2025.06
module avail
```
This should show something like:
``` { .bash .copy }
---- /sharedfs/eessi/versions/2025.06/software/linux/x86_64/amd/zen3/modules/all ----
attr/2.5.2-GCCcore-14.3.0 cowsay/3.04

---- /cvmfs/software.eessi.io/versions/2025.06/software/linux/x86_64/amd/zen3/modules/all ----
Abseil/20240722.0-GCCcore-13.3.0
absl-py/2.1.0-GCCcore-13.3.0
...
```

As you can see, EESSI installed it into a CPU-specific directory under the chosen prefix.
This allows you to redo the installation on other CPU types that you want to support,
such that each of them has access to an optimized installation.
Every time the EESSI module gets loaded, it will detect the CPU of that node and use the corresponding subtree in your prefix.

You can now simply load the software using:

``` { .bash .copy }
module load cowsay/3.04
cowsay "EESSI keeps the clusters moo-ving."
____________________________________
< EESSI keeps the clusters moo-ving. >
------------------------------------
\ ^__^
\ (oo)\_______
(__)\ )\/\
||----w |
|| ||

```

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