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I'm following the guide https://grafana.com/docs/loki/latest/setup/install/helm/install-monolithic/ 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 this cache to reduce these needs or to disable it entirely?
