VM performance in sangfor HCI

MTR Lv2Posted Mar-09-2025 18:34

Hello
Can anyone tell me what are the best practices for optimizing VM performance in Sangfor HCI, especially when running multiple workloads?

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1. Resource Allocation
   Right-Sizing VMs: Allocate CPU, memory, and storage resources based on the actual workload requirements. Avoid over-provisioning or under-provisioning.
   Resource Reservation: Use resource reservation for critical VMs to ensure they always have access to the required resources.

2. Storage Optimization
   Use SSDs for High-Performance Workloads: Deploy SSDs for workloads that require high IOPS (Input/Output Operations Per Second).
   Enable Data Deduplication and Compression: These features can help save storage space and improve performance.
   Distributed Storage: Leverage Sangfor's distributed storage architecture to ensure data redundancy and faster access.

3. Networking
   Separate Traffic: Use VLANs to separate management, storage, and VM traffic to avoid network congestion.
   Enable SD-WAN Features: For multi-site deployments, use Sangfor's SD-WAN capabilities to optimize network performance.

4. Load Balancing
   Dynamic Resource Scheduling (DRS): Enable DRS to automatically balance workloads across nodes in the cluster.
   Affinity and Anti-Affinity Rules: Use these rules to control VM placement and avoid resource contention.

5. Monitoring and Alerts
   Regular Monitoring: Use Sangfor's built-in monitoring tools to track resource usage and identify bottlenecks.
   Set Alerts: Configure alerts for CPU, memory, and storage thresholds to proactively address issues.

6. Cluster Configuration
   Scale-Out When Needed: Add nodes to the cluster when resource usage approaches capacity limits.
   High Availability (HA): Enable HA to ensure VMs are automatically restarted on another node in case of a failure.

7. Update and Maintenance
   Keep Software Updated: Regularly update Sangfor HCI software to benefit from performance improvements and bug fixes.
   Scheduled Maintenance: Perform maintenance during off-peak hours to minimize impact on workloads.

8. Workload Prioritization
   Tier Workloads: Assign higher priority to critical workloads and lower priority to less critical ones.
   Use QoS (Quality of Service): Configure QoS policies to ensure critical workloads get the required resources.
Is this answer helpful?
Enrico Vanzetto Lv4Posted Mar-10-2025 17:28
  
Hi, take a look on page 7,8,9 of this document (Sangfor_HCI_6.9.1_Associate_2024_05_Virtual Machine Operation): hxxps://knowledgebase.sangfor.com/detailPage?articleData=%7B%22articleType%22%3A1,%22articleId%22%3A%2200f00d57212740ae9f4be6aa1d810e86%22,%22keyword%22%3A%22%22%7D
AR Lv2Posted Mar-10-2025 14:27
  
Hello,
1. Resource Allocation Properly Sizing Virtual Machines:  Distribute CPU, memory, and storage resources according to the demands of the workload.  Don't provide too much or too little.
Resource Reservation: To guarantee that crucial virtual machines (VMs) always have access to the resources they need, use resource reservation.

2. Optimisation of Storage
    High-Performance Workloads: Employ SSDs for workloads requiring a high input/output per second (IOPS).
    Turn on data compression and deduplication to enhance performance and conserve storage space.
    Distributed Storage: To guarantee data redundancy and quicker access, make use of Sangfor's distributed storage architecture.
3. Networking: To prevent network congestion, use VLANs to divide administration, storage, and virtual machine traffic.
    Turn on SD-WAN functionality:  Utilise Sangfor's SD-WAN features to maximise network performance for multi-site deployments.


4. Load Balancing: Turn on Dynamic Resource Scheduling (DRS) so that workloads are automatically distributed among cluster nodes.
    To manage virtual machine deployment and prevent resource congestion, apply the affinity and anti-affinity rules.

5. Observation and Warnings
    Frequent Observation:  Track resource utilisation and spot bottlenecks with Sangfor's integrated monitoring tools.
    Configure Alerts:  To proactively handle problems, set up alerts for CPU, memory, and storage criteria.

6. Cluster Configuration
   Scale-Out When Needed: Add nodes to the cluster when resource usage approaches capacity limits.
   High Availability (HA): Enable HA to ensure VMs are automatically restarted on another node in case of a failure.

7. Update and Maintenance
   Keep Software Updated: Regularly update Sangfor HCI software to benefit from performance improvements and bug fixes.
   Scheduled Maintenance: Perform maintenance during off-peak hours to minimize impact on workloads.

8. Workload Prioritization
   Tier Workloads: Assign higher priority to critical workloads and lower priority to less critical ones.
   Use QoS (Quality of Service): Configure QoS policies to ensure critical workloads get the required resources.

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