| `minio_node_mem_buffers_avg`   | Buffers memory on the node (avg).         |
| `minio_node_mem_buffers_max`   | Buffers memory on the node (max).         |
| `minio_node_mem_cache`         | Cache memory on the node.                 |
| `minio_node_mem_cache_avg`     | Cache memory on the node (avg).           |
| `minio_node_mem_cache_max`     | Cache memory on the node (max).           |

global:
  proxy:
    resources:
      requests:
        cpu: 10m
        memory: 40Mi

pilot:
  autoscaleEnabled: false
  traceSampling: 100
  resources:
    requests:
      cpu: 10m
      memory: 100Mi

gateways:
  istio-egressgateway:
    autoscaleEnabled: false
    resources:
      requests:
        cpu: 10m
        memory: 40Mi
  istio-ingressgateway:
    autoscaleEnabled: false
    ports:

        type: Utilization
        averageUtilization: {{ .Values.pilot.cpu.targetAverageUtilization }}
  {{- if .Values.pilot.memory.targetAverageUtilization }}
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: {{ .Values.pilot.memory.targetAverageUtilization }}
  {{- end }}
  {{- if .Values.pilot.autoscaleBehavior }}

### Memory per Process

Now, when the program loads things in memory, for example, a machine learning model in a variable, or the contents of a large file in a variable, all that **consumes a bit of the memory (RAM)** of the server.

		case <-r.qTimer.C:
			r.qCache.update()
		}
	}
}

// Delete deletes in-memory replication statistics for a bucket.
func (r *ReplicationStats) Delete(bucket string) {
	if r == nil {
		return
	}

	r.Lock()
	defer r.Unlock()
	delete(r.Cache, bucket)
}

// UpdateReplicaStat updates in-memory replica statistics with new values.
func (r *ReplicationStats) UpdateReplicaStat(bucket string, n int64) {

  ops->writable_file_ops_api = TF_WRITABLE_FILE_OPS_API;
  ops->writable_file_ops_size = TF_WRITABLE_FILE_OPS_SIZE;
  ops->read_only_memory_region_ops_abi = TF_READ_ONLY_MEMORY_REGION_OPS_ABI;
  ops->read_only_memory_region_ops_api = TF_READ_ONLY_MEMORY_REGION_OPS_API;
  ops->read_only_memory_region_ops_size = TF_READ_ONLY_MEMORY_REGION_OPS_SIZE;
}

/// Initializes a TensorFlow plugin.
///

#FESS_HEAP_SIZE=2g

# Heap new generation
#FESS_HEAP_NEWSIZE=

# max direct memory
#FESS_DIRECT_SIZE=

# Additional Java OPTS
#FESS_JAVA_OPTS=

# Maximum number of open files
MAX_OPEN_FILES=65535

# Maximum amount of locked memory
#MAX_LOCKED_MEMORY=

# Fess log directory
LOG_DIR=${packaging.fess.log.dir}

# Fess data directory
DATA_DIR=${packaging.fess.var.dir}

All Go pointers passed to C must point to pinned Go memory. Go pointers
passed as function arguments to C functions have the memory they point to
implicitly pinned for the duration of the call. Go memory reachable from
these function arguments must be pinned as long as the C code has access
to it. Whether Go memory is pinned is a dynamic property of that memory
region; it has nothing to do with the type of the pointer.

        {{- end }}
        resources:
          limits:
            cpu: "2"
            memory: 1Gi
          requests:
            cpu: 100m
            memory: 128Mi
        startupProbe:
          failureThreshold: 30
          httpGet:
            path: /healthz/ready
            port: 15021
            scheme: HTTP

          },
          "expr": "sum(container_memory_working_set_bytes{namespace!=\"istio-system\",container=\"istio-proxy\"}) / count(container_memory_working_set_bytes{namespace!=\"istio-system\",container=\"istio-proxy\"})",
          "format": "time_series",
          "intervalFactor": 1,
          "legendFormat": "per istio proxy",
          "refId": "B"
        }
      ],
      "title": "Memory Usage",
      "type": "timeseries"
    },