Node Feature Discovery is part of Enhanced Platform Awareness which aims to improve application performance through intelligent workload placement based on platform capabilities. It detects hardware and software features of nodes in a Kubernetes cluster and advertises them as node labels. These labels can then be used to control scheduling and ensure workloads are placed on nodes that meet their requirements. Currently detected features include CPUID, SR-IOV networking, Intel Resource Director Technology, Intel Turbo Boost Technology, IOMMU, SSD storage, NUMA topology, the Linux kernel, and PCI.

1. RAVI SHARMA

2. ENHANCED PLATFORM AWARENESS
"Enhanced Platform Awareness" (EPA) represents a methodology to get workload placement
understand underlying platform to deliver improved and deterministic application
performance, and IO throughput.
It enables fine-grained matching of workload requirements to platform capabilities, prior to
launching a VM or Container.
From CNTT – VIM requirement

3. MAIN EPA FEATURES
EPA features include
• Multiple interfaces
• Device Plugins (incl. SR-IOV)
• Huge Pages
• NUMA topology
• CPU pinning and isolation
• Node Feature Discovery

4. NODE FEATURE DISCOVERY
• Node Feature Discovery (NFD) is a Kubernetes* add-on that detects and advertises
hardware and software capabilities of a platform that can, in turn, be used to
facilitate intelligent scheduling of a workload.
• Node Feature Discovery is part of the Enhanced Platform Awareness (EPA) suite
which represents a methodology and a set of changes in Kubernetes targeting
intelligent configuration and capacity consumption of platform capabilities.
• Node Feature Discovery detects these features and advertises them through a
Kubernetes concept called node labels which, in turn, can be used to control
workload placement in a Kubernetes cluster. NFD runs as a separate container on
each individual node of the cluster, discovers capabilities of the node, and finally,
publishes these as node labels using the Kubernetes API.
• Allocatable resources that require accounting, initialization and other special
handling (such as Intel® QuickAssist Technology, GPUs, and FPGAs) are presented as
Kubernetes Extended Resources and handled by device plugins.

5. NODE FEATURE DISCOVERY
NFD currently detects the following features:
• CPUID
• SR-IOV networking
• Intel® RDT: Intel® Resource Director Technology
• Intel® Turbo Boost Technology
• IOMMU: An input/output memory management unit
• SSD storage
• NUMA topology
• Linux* kernel
• PCI

6. THANKS..
Enhancements in you seem
by your action rather than
words