update K8s helm chart and docs

.github/workflows/docker.yml

@@ -44,7 +44,7 @@ jobs:
       # Login against a Docker registry except on PR
       # https://github.com/docker/login-action
       - name: Log into registry ${{ env.REGISTRY }}
-        uses: docker/login-action@343f7c4344506bcbf9b4de18042ae17996df046d # v3.0.0
+        uses: docker/login-action@v3
         with:
           registry: ${{ env.REGISTRY }}
           username: ${{ github.actor }}
@@ -54,21 +54,21 @@ jobs:
       # https://github.com/docker/metadata-action
       - name: Extract Docker metadata
         id: meta
-        uses: docker/metadata-action@96383f45573cb7f253c731d3b3ab81c87ef81934 # v5.0.0
+        uses: docker/metadata-action@v5
         with:
           images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
           tags: |
             type=semver,pattern={{version}}
             type=semver,pattern={{major}}.{{minor}}
             type=semver,pattern={{major}}
+            type=ref,event=branch
             type=sha,priority=100,prefix=,suffix=,format=short
 
-
       # Build and push Docker image with Buildx (don't push on PR)
       # https://github.com/docker/build-push-action
       - name: Build and push Docker image
         id: build-and-push
-        uses: docker/build-push-action@0565240e2d4ab88bba5387d719585280857ece09 # v5.0.0
+        uses: docker/build-push-action@v5
         with:
           context: .
           push: ${{ github.event_name != 'pull_request' }}

charts/node-observer/values.yaml

@@ -8,7 +8,7 @@ image:
   repository: ghcr.io/nvidia/topograph
   pullPolicy: IfNotPresent
   # Overrides the image tag whose default is the chart appVersion.
-  tag: "main"
+  tag: main
 
 imagePullSecrets: []
 nameOverride: ""

charts/topograph/values.yaml

@@ -8,7 +8,7 @@ image:
   repository: ghcr.io/nvidia/topograph
   pullPolicy: IfNotPresent
   # Overrides the image tag whose default is the chart appVersion.
-  tag: "main"
+  tag: main
 
 imagePullSecrets: []
 nameOverride: ""

cmd/topograph/main.go

@@ -33,9 +33,9 @@ import (
 var GitTag string
 
 func main() {
-	var c string
+	var cfg string
 	var version bool
-	flag.StringVar(&c, "c", "/etc/topograph/topograph-config.yaml", "config file")
+	flag.StringVar(&cfg, "c", "/etc/topograph/topograph-config.yaml", "config file")
 	flag.BoolVar(&version, "version", false, "show the version")
 
 	klog.InitFlags(nil)
@@ -47,7 +47,7 @@ func main() {
 		os.Exit(0)
 	}
 
-	if err := mainInternal(c); err != nil {
+	if err := mainInternal(cfg); err != nil {
 		klog.Error(err.Error())
 		os.Exit(1)
 	}

docs/k8s.md

@@ -4,7 +4,7 @@ Topograph is a tool designed to enhance scheduling decisions in Kubernetes clust
 
 ### Overview
 
-Topograph's primary objective is to assist the Kubernetes scheduler in making intelligent pod placement decisions based on the cluster's network topology. It achieves this by:
+Topograph's primary objective is to assist the Kubernetes scheduler in making intelligent pod placement decisions based on the cluster network topology. It achieves this by:
 
 1. Interacting with Cloud Service Providers (CSPs)
 2. Extracting cluster topology information
@@ -16,12 +16,19 @@ Topograph performs the following key actions:
 
 1. **ConfigMap Creation**: Generates a ConfigMap containing topology information. This ConfigMap is not currently utilized but serves as an example for potential future integration with the scheduler or other systems.
 
-2. **Node Labeling**: Applies labels to nodes that define their position within the cloud topology. For example, if a node connects to switch S1, which connects to switch S2, and then to switch S3, Topograph will apply the following labels to the node:
+2. **Node Labeling**: Applies labels to nodes that define their position within the cloud network topology:
+ - `accelerator`: Network interconnect for direct accelerator communication (e.g., Multi-node NVLink interconnect between NVIDIA GPUs)
+ - `block`: Rack-level switches connecting hosts in one or more racks as a block.
+ - `spine`: Spine-level switches connecting multiple blocks inside a datacenter.
+ - `datacenter`: Zonal switches connecting multiple datacenters inside an availability zone.
+
+For example, if a node belongs to NVLink domain `nvl1` and connects to switch `s1`, which connects to switch `s2`, and then to switch `s3`, Topograph will apply the following labels to the node:
 
    ```
-   topology.kubernetes.io/network-level-1: S1
-   topology.kubernetes.io/network-level-2: S2
-   topology.kubernetes.io/network-level-3: S3
+   network.topology.kubernetes.io/accelerator: nvl1
+   network.topology.kubernetes.io/block: s1
+   network.topology.kubernetes.io/spine: s2
+   network.topology.kubernetes.io/datacenter: s3
    ```
 
 ### Use of Topograph
@@ -46,7 +53,7 @@ closer network proximity.
                     operator: In
                     values:
                       - myapp
-              topologyKey: topology.kubernetes.io/network-level-2
+              topologyKey: network.topology.kubernetes.io/spine
           - weight: 90
             podAffinityTerm:
               labelSelector:
@@ -55,15 +62,15 @@ closer network proximity.
                     operator: In
                     values:
                       - myapp
-              topologyKey: topology.kubernetes.io/network-level-1
+              topologyKey: network.topology.kubernetes.io/block
 ```
-Pods are prioritized to be placed on nodes sharing the label `topology.kubernetes.io/network-level-1`.
+Pods are prioritized to be placed on nodes sharing the label `network.topology.kubernetes.io/block`.
 These nodes are connected to the same network switch, ensuring the lowest latency for communication.
 
-Nodes with the label `topology.kubernetes.io/network-level-2` are next in priority.
+Nodes with the label `network.topology.kubernetes.io/spine` are next in priority.
 Pods on these nodes will still be relatively close, but with slightly higher latency.
 
-In the three-tier network, all nodes will share the same `topology.kubernetes.io/network-level-3` label,
+In the three-tier network, all nodes will share the same `network.topology.kubernetes.io/datacenter` label,
 so it doesn’t need to be included in pod affinity settings.
 
 Since the default Kubernetes scheduler places one pod at a time, the placement may vary depending on where