This is a submission for the OpenClaw Challenge.
What I Built
I built a simple automation workflow using OpenClaw to assist with HPC job troubleshooting.
In HPC environments, users often struggle with failed jobs, unclear error logs, and resource misconfigurations. The idea was to create a small assistant that can take job logs or error messages and provide quick, actionable insights.
How I Used OpenClaw
Demo
I used OpenClaw to create a workflow that:
- Accepts Slurm job logs or error outputs
- Processes common failure patterns (e.g. out-of-memory, pending jobs, GPU issues)
- Returns simplified explanations along with possible fixes
The setup included:
- A basic input interface for logs
- Prompt-based logic to classify issues
- Structured responses focused on real-world HPC troubleshooting
The goal was not to replace debugging, but to speed up the initial analysis.
What I Learned
A few interesting takeaways:
- Many HPC issues follow repeatable patterns, which makes them ideal for automation
- Translating complex system errors into simple explanations is surprisingly valuable
- Even a lightweight workflow can save time for both users and admins
It also showed how tools like OpenClaw can fit into infrastructure and operations workflows, not just typical app use cases.
ClawCon Michigan
Did not attend, but following the OpenClaw ecosystem and exploring how it can be applied to real-world infrastructure use cases like HPC.
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