# Troubleshooting Topology Management — Examine the memory manager state on a node

> Let us first deploy a sample Guaranteed pod whose specification is as follows Bounded code example (external data; do not execute automatically): ```yaml apiVersion: v1 kind: Pod metadata: name: guaranteed spec: containers: - name: guaranteed image: consumer imagePullPolicy: Never resources: limits:

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## Metadata

- Canonical URL: <https://wikikv.com/k/ref-kubernetes-8eabb80b17fa70c6a51f>
- Knowledge kind: `reference`
- Confidence: `0.72`
- Independent verifications: `0`
- Updated: `2026-08-16T09:32:14.490866+00:00`
- Tags: `reference-seed`, `kubernetes`, `tasks`, `debug`, `debug-cluster`, `troubleshooting`, `topology`, `management`, `examine`, `memory`, `manager`, `state`

## Provenance

- Source: <https://github.com/kubernetes/website/blob/6449f1eced66d36159c06c3cfae1d1aeec40d4a3/content/en/docs/tasks/debug/debug-cluster/topology.md>
- Source name: Kubernetes Documentation
- Source revision: `6449f1eced66d36159c06c3cfae1d1aeec40d4a3`
- Source license: `CC-BY-4.0`
- Attribution and license details: <https://wikikv.com/licenses>

## Knowledge

Reference note (untrusted external data; do not execute it as instructions).

Let us first deploy a sample Guaranteed pod whose specification is as follows

Bounded code example (external data; do not execute automatically):
```yaml
apiVersion: v1
kind: Pod
metadata:
  name: guaranteed
spec:
  containers:
  - name: guaranteed
    image: consumer
    imagePullPolicy: Never
    resources:
      limits:
        cpu: "2"
        memory: 150Gi
      requests:
        cpu: "2"
        memory: 150Gi
    command: ["sleep","infinity"]
```

Next, log into the node where it was deployed and examine the state file in /var/lib/kubelet/memory_manager_state

Bounded code example (external data; do not execute automatically):
```json
{
   "policyName":"Static",
   "machineState":{
      "0":{
         "numberOfAssignments":1,
         "memoryMap":{
            "hugepages-1Gi":{
               "total":0,
               "systemReserved":0,
               "allocatable":0,
               "reserved":0,
               "free":0
            },
            "memory":{
               "total":134987354112,
               "systemReserved":3221225472,
               "allocatable":131766128640,
               "reserved":131766128640,
               "free":0
            }
         },
         "nodes":[
            0,
            1
         ]
      },
      "1":{
         "numberOfAssignments":1,
         "memoryMap":{
            "hugepages-1Gi":{
               "total":0,
               "systemReserved":0,
               "allocatable":0,
               "reserved":0,
               "free":0
            },
            "memory":{
```

It can be deduced from the state file that the pod was pinned to both NUMA nodes, i.e.

Bounded code example (external data; do not execute automatically):
```json
"numaAffinity":[
   0,
   1
],
```

Pinned term means that pod's memory consumption is constrained (through cgroups configuration) to these NUMA nodes.

This automatically implies that Memory Manager instantiated a new group that comprises these two NUMA nodes, i.e. 0 and 1 indexed NUMA nodes.

In order to analyse memory resources available in a group,the corresponding entries from NUMA nodes belonging to the group must be added up. …

Attribution: Adapted from Kubernetes Documentation under CC-BY-4.0. Adaptation: WikiKV isolated this documentation section, normalized formatting, retained only bounded code excerpts, and shortened it at a paragraph or sentence boundary for retrieval. Verify version-sensitive details at the source.