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Secure, unlimited storage to ensures efficiency as well as high and continuous data access demand.
Virtual server integration for 3D Rendering, AI or ML
Enhance application capacity and availability.
Secure your exclusive advance order today and gain priority access to an all-inclusive stack for AI development, driven by NVIDIA’s powerful technology!
FPT Web Application Firewall provides powerful protection for web applications
Advanced virtual server with rapid scalability
Backup and restore data instantly, securely and maintain data integrity.
Advanced virtual server with rapid scalability
Secure your exclusive advance order today and gain priority access to an all-inclusive stack for AI development, driven by NVIDIA’s powerful technology!
Enhance application capacity and availability.
Backup and restore data instantly, securely and maintain data integrity.
Recovery, ensuring quick operation for the business after all incidents and disasters.
Diverse throughput and capacity to meet various business workloads.
Secure, unlimited storage to ensures efficiency as well as high and continuous data access demand.
FPT Web Application Firewall provides powerful protection for web applications
Intelligent and Comprehensive Virtual Web Application Firewall - Security Collaboration between FPT Cloud and Penta Security.
The Next generation firewall security service
Easily store, manage, deploy, and secure Container images
Safe, secure, stable, high-performance Kubernetes platform
Provided as a service to deploy, monitor, backup, restore, and scale MongoDB databases on cloud.
Provided as a service to deploy, monitor, backup, restore, and scale Redis databases on cloud.
Provided as a service to deploy, monitor, backup, restore, and scale PostgreSQL databases on cloud.
The service automatically initiates, maintains, manages, and protects APIs of any sizes.
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Horizontal Pod Autoscaler (HPA) automatically adjusts the resource allocation for workload resources (such as Deployments or StatefulSets) to dynamically scale to the application's resource demands Basically, when the workload of an application running on Kubernetes increases, HPA will deploy more Pods to meet the resource requirements. When the workload decreases and the number of Pods is higher than the configured minimum, HPA will reduce the workload resources, meaning it decreases the number of Pods. HPA for GPU uses custom metrics from DCGM to monitor and scale Pods based on the application's GPU utilization.
Example deployment with GPU HPA:
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
name: my-gpu-app
spec:
maxReplicas: 3 # Update this accordingly
minReplicas: 1
scaleTargetRef:
apiVersion: apps/v1beta1
kind: Deployment
name: my-gpu-app # Add label from Deployment we need to autoscale
metrics:
- type: Pods # scale pod based on gpu
pods:
metric:
name: DCGM_FI_PROF_GR_ENGINE_ACTIVE # Add the DCGM metric here accordingly
target:
type: AverageValue
averageValue: 0.8 # Set the threshold value as per the requirementMore details can be found at NVIDIA’s DCGM Metrics docs
You can view the HPA by running this command:
kubectl get hpa -A
