Unlocking Performance with Kubernetes Pod-Level Resource Managers

1apiVersion: v1
2kind: Pod
3metadata:
4  name: tightly-coupled-database
5spec:
6  # Pod-level resources establish the overall budget and NUMA alignment size.
7  resources:
8    requests:
9      cpu: "8"
10      memory: "16Gi"
11    limits:
12      cpu: "8"
13      memory: "16Gi"
14  initContainers:
15  - name: metrics-exporter
16    image: metrics-exporter:v1
17    restartPolicy: Always
18  - name: backup-agent
19    image: backup-agent:v1
20    restartPolicy: Always
21  containers:
22  - name: database
23    image: database:v1
24    # This Guaranteed container gets an exclusive 6 CPU slice from the pod's budget.
25    # The remaining 2 CPUs and 4Gi memory form the pod shared pool for the sidecars.
26    resources:
27      requests:
28        cpu: "6"
29        memory: "12Gi"
30      limits:
31        cpu: "6"
32        memory: "12Gi"

1apiVersion: v1
2kind: Pod
3metadata:
4  name: ml-workload
5spec:
6  # Pod-level resources establish the overall budget constraint.
7  resources:
8    requests:
9      cpu: "4"
10      memory: "8Gi"
11    limits:
12      cpu: "4"
13      memory: "8Gi"
14  initContainers:
15  - name: service-mesh-sidecar
16    image: service-mesh:v1
17    restartPolicy: Always
18  containers:
19  - name: ml-training
20    image: ml-training:v1
21    # Under the 'container' scope, this Guaranteed container receives exclusive,
22    # NUMA-aligned resources, while the sidecar runs in the node's shared pool.
23    resources:
24      requests:
25        cpu: "3"
26        memory: "6Gi"
27      limits:
28        cpu: "3"
29        memory: "6Gi"