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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.
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
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.
System Monitoring Solution anywhere, anytime, anyplatform
Helps reduce operational costs by up to 40% compared to traditional BI solutions, while improving efficiency through optimized resource usage and infrastructure scaling. - Pricing
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The Autoscale feature is enabled by default when users create a Kubernetes Cluster with D-FKE.
D-FKE's Autoscale feature is built based on Kubernetes' cluster-autoscaler tool. The system will automatically adjust the number of worker nodes in the cluster when the following conditions are met:
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Pods are in pending state due to lack of resources.
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Node in the cluster uses less than 50% of resources (CPU & RAM) for a period of time (default is 15 minutes) and Pods on that node can be moved to other nodes
Reference: https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler
To use the cluster-autoscaler feature, users can use it combine with HPA (HorizontalPodAutoscaler).
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Scale-up: HPA automatically creates additional Pods when resource usage exceeds a predefined threshold. When new Pods are created, if Worker Nodes have insufficient resources for that Pod request, cluster-autoscaler will automatically create more Worker Nodes to meet the number of newly created Pods.
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Scale-down: HPA automatically reduces the number of Pods when resource usage is less than a set threshold. At that time, Nodes will reduce resource usage and are automatically reduced by cluster-autoscaler.
Reference: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale- walkthrough/
Basic Use-cases:
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To have the number of worker nodes fixed: user can set the value of Min nodes = Max nodes
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To block Cluster Autoscaler from scaling down fixed node: Cluster Autoscaler would not scale down node that has following annotation:
"cluster-autoscaler.kubernetes.io/scale-down-disabled": "true"Use this command to add annotation:
kubectl annotate node cluster-autoscaler.kubernetes.io/scale-down-disabled=true