Hi All, I’m exploring ways to leverage HPC high performance computing resources alongside Quest’s software suite (particularly Toad, Foglight, and KACE ) for large-scale data analytics and automation. Has anyone successfully integrated HPC clusters with Quest tools for: Database optimization (e.g., parallel query processing with Toad)? Performance monitoring (Foglight tracking HPC node health/metrics)? Automated provisioning (KACE managing HPC node deployments)? Key questions: Are there any pre-built connectors or scripts to bridge Quest tools with HPC schedulers (Slurm, PBS)? GPU acceleration – Does Foglight or Toad support monitoring GPU workloads in HPC environments? Real-world use cases – Anyone using Quest + HPC for AI/ML pipelines or simulation workloads? Would love to hear from teams who’ve tackled this—especially if you’ve hit roadblocks with permissions, scaling, or data transfer speeds.

Integrating HPC with Quest Software – Any Best Practices?

Hi All,

I’m exploring ways to leverage HPC high performance computing resources alongside Quest’s software suite (particularly Toad, Foglight, and KACE) for large-scale data analytics and automation. Has anyone successfully integrated HPC clusters with Quest tools for:

Database optimization (e.g., parallel query processing with Toad)?
Performance monitoring (Foglight tracking HPC node health/metrics)?
Automated provisioning (KACE managing HPC node deployments)?

Key questions:

Are there any pre-built connectors or scripts to bridge Quest tools with HPC schedulers (Slurm, PBS)?
GPU acceleration – Does Foglight or Toad support monitoring GPU workloads in HPC environments?
Real-world use cases – Anyone using Quest + HPC for AI/ML pipelines or simulation workloads?

Would love to hear from teams who’ve tackled this—especially if you’ve hit roadblocks with permissions, scaling, or data transfer speeds.