Installation loki grafana limit resources used

Grafana Loki
1

I’m following the guide Install the monolithic Helm chart | Grafana Loki documentation to install loki in my k8s cluster:

deploymentMode: SingleBinary
loki:
  commonConfig:
    replication_factor: 1
  storage:
    type: 'filesystem'
  schemaConfig:
    configs:
    - from: "2024-01-01"
      store: tsdb
      index:
        prefix: loki_index_
        period: 24h
      object_store: filesystem # we're storing on filesystem so there's no real persistence here.
      schema: v13
singleBinary:
  replicas: 1
read:
  replicas: 0
backend:
  replicas: 0
write:
  replicas: 0

The installation works “fine” but if I execute kubectl describe pod loki-chunks-cache-0. I see the following error in the loki-chunks-cache-0:

Warning FailedScheduling 59s (x297 over 24h) default-scheduler 0/2 nodes are available: 1 Too many pods, 2 Insufficient memory. preemption: 0/2 nodes are

And the following resource requests:

  memcached:
    Image:      memcached:1.6.23-alpine
    Port:       11211/TCP
    Host Port:  0/TCP
    Args:
      -m 8192
      --extended=modern,track_sizes
      -I 5m
      -c 16384
      -v
      -u 11211
    Limits:
      memory:  9830Mi
    Requests:
      cpu:        500m
      memory:     9830Mi

I understand that the problem is that I’ve not enough memory in my k8s cluster. But is there anyway that I can indicate in my yaml the limits/requests for the memcached to reduce these needs or even disable this cache?

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