# Containerizing Jobs for OSG - Best Practices or Guides?

**URL:** <https://ask.cyberinfrastructure.org/t/containerizing-jobs-for-osg-best-practices-or-guides/3117>\
**Category:** Discussion Zone\
**Tags:** slurm, scheduler, osg\
**Created:** [April 18, 2024, 1:26pm UTC](https://ask.cyberinfrastructure.org/t/containerizing-jobs-for-osg-best-practices-or-guides/3117 "2024-04-18T13:26:09Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![ChuckP](https://ask.cyberinfrastructure.org/user_avatar/ask.cyberinfrastructure.org/chuckp/32/920_2.png) [@ChuckP](https://ask.cyberinfrastructure.org/u/ChuckP)\
**Post date:** [April 18, 2024, 1:26pm UTC](https://ask.cyberinfrastructure.org/t/containerizing-jobs-for-osg-best-practices-or-guides/3117/1 "2024-04-18T13:26:09Z")

</div>

All - One persistent concept I have been pushing to my clients is developing reproducible submission scripts / jobs for computation being done on PSU’s HPC system and elsewhere with the intention of leveraging OSG systems from PSU. There has to be a recipe or checklist that we can share with our users that makes this easier. Does anyone have one handy? Chat GPT-4 belched this out as a start:

Submitting jobs to an Open Science Grid (OSG) involves a set of practices that help optimize the use of resources and ensure efficient processing of tasks. Here are some best practices for submitting jobs to OSG:

1. **Job Size and Duration** :

- Design jobs to be short-lived, typically less than 12 hours, as they are more likely to quickly find available resources.
- Split larger tasks into multiple smaller jobs if possible.

1. **Efficient Data Management** :

- Minimize the amount of data transferred in and out of jobs.
- Use staging sites or OSG-provided storage elements for data that will be accessed by multiple jobs.
- Employ compression techniques to reduce data size.

1. **Resource Requirements Specification** :

- Specify the correct requirements for your job, including memory, disk space, and CPUs. This helps the scheduler find the appropriate resources and increases the efficiency of job execution.

1. **Error Handling and Retries** :

- Implement robust error checking and handling in your scripts to manage failures gracefully.
- Configure automatic retries for transient errors, but ensure to differentiate between transient and non-transient errors.

1. **Use of Containers** :

- Consider using containers (like Docker or Singularity) to package software dependencies. This increases portability and reproducibility of your jobs across different computing resources.

1. **Logging and Monitoring** :

- Include detailed logging in your job scripts to facilitate debugging and monitoring of job performance.
- Utilize tools provided by OSG or develop custom monitoring scripts to track job status and resource usage.

1. **Compliance with Policies** :

- Understand and adhere to the usage policies of OSG, including fair-use policies and any specific resource allocation agreements.

1. **Testing** :

- Test your jobs on a small scale before scaling up to many resources to ensure that your job configuration is optimized.

1. **Consultation and Continuous Improvement** :

- Engage with the OSG community for support and consultation. They can offer insights and optimizations specific to your use case.
- Continuously review and improve your job submission practices based on performance metrics and new technologies or tools available.

---

<div class="post-metadata">

**Author:** ![ckoch5](https://ask.cyberinfrastructure.org/letter_avatar_proxy/v4/letter/c/71c47a/32.png) [@ckoch5](https://ask.cyberinfrastructure.org/u/ckoch5)\
**Post date:** [May 6, 2024, 8:08pm UTC](https://ask.cyberinfrastructure.org/t/containerizing-jobs-for-osg-best-practices-or-guides/3117/4 "2024-05-06T20:08:49Z")

</div>

This looks like a pretty good list actually. 😂 thanks ChatGPT!

A few points I might add that are more about creating flexible/robust job submissions, especially when moving between systems are:

- Make sure that scripts can be flexible in where their files are. Often users come to use with scripts from their computer or a different cluster that have hard-coded paths – once you leave the space of a shared file system, having flexible or relative paths to files is important.
- (Related to above) Be able to specify key job components via arguments.
- Have an organization plan – how do you want to organize/track your different inputs and outputs for jobs?
- Putting it all together: have a clear process for naming input and output files. It’s ideal if the output that’s tied to a particular set of inputs can reflect that in its name or how it’s saved, so you can tell at a glance, what you’ve produced.

---

<div class="post-metadata">

**Author:** ![jfossot](https://ask.cyberinfrastructure.org/user_avatar/ask.cyberinfrastructure.org/jfossot/32/932_2.png) [@jfossot](https://ask.cyberinfrastructure.org/u/jfossot)\
**Post date:** [April 19, 2024, 1:50pm UTC](https://ask.cyberinfrastructure.org/t/containerizing-jobs-for-osg-best-practices-or-guides/3117/2 "2024-04-19T13:50:10Z")

</div>

Chuck,  
That looks like a list I will use or have used without realizing. The only additional thing I can think of is checkpointing which can be inserted into logging and error handling. However, I am looking to see what others think. Maybe make suggestions for us to then compile a complete list.

---

<div class="post-metadata">

**Author:** ![ChuckP](https://ask.cyberinfrastructure.org/user_avatar/ask.cyberinfrastructure.org/chuckp/32/920_2.png) [@ChuckP](https://ask.cyberinfrastructure.org/u/ChuckP)\
**Post date:** [April 20, 2024, 2:16pm UTC](https://ask.cyberinfrastructure.org/t/containerizing-jobs-for-osg-best-practices-or-guides/3117/3 "2024-04-20T14:16:03Z")

</div>

Checkpointing has always been a tough sell to clients. I think because it can be a daunting task to a new user to build in checkpoints.
