# Best Practice Guides

- [WEKA and Slurm integration](https://docs.weka.io/best-practice-guides/weka-and-slurm-integration.md): Explore the architecture and configuration of an HPC cluster using the Slurm workload manager for job scheduling and WEKA as the high-performance data platform.
- [Manage CPU allocations for WEKA and Slurm](https://docs.weka.io/best-practice-guides/weka-and-slurm-integration/avoid-conflicting-cpu-allocations.md)
- [Best practices for WEKA stateless client and Kubernetes](https://docs.weka.io/best-practice-guides/best-practices-for-weka-stateless-client-and-kubernetes.md): Use the WEKA Operator for WEKA CSI in Kubernetes. If using stateless clients, follow practices to reserve CPU, prevent contention, and ensure stable IO.
- [Storage expansion best practice](https://docs.weka.io/best-practice-guides/storage-expansion-best-practice.md): Explore the best practices for expanding WEKA clusters, focusing on maintaining optimal performance in heterogeneous environments.
- [Maximize GPU infrastructure resilience with NeuralMesh AXON](https://docs.weka.io/best-practice-guides/maximize-gpu-infrastructure-resilience-with-neuralmesh-axon.md): Deliver enterprise-grade reliability in converged GPU environments with failure domains. This approach keeps data protected and accessible, even when high-performance apps cause frequent reboots.


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