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Loki in Production💣

This chart supports running Loki in two architecture modes, monolith and simple-scalable. It is strongly encouraged to utilize the simple-scalable architecture in production environments as it allows more fine grained control over scaling of read/write nodes compared to the monolith.

This example assumes external dependencies of:

  • AWS S3
loki:
  strategy: "scalable"
  objectStorage:
    endpoint: https://s3.us-gov-west-1.amazonaws.com
    region: us-gov-west-1
    bucketnames:
      # Loki since their 1.0 Chart release allows you to specify separate buckets.
      chunks: loki-logs
      ruler: loki-logs
      admin: loki-admin
  values:
    loki:
      memcached:
        # configure how Loki will cache requests, chunks, and the index to a backing cach store.
        chunk_cache:
          enabled: true
          host: "elasticache.XXXX:6379"
          service: "memcached"
          batch_size: 256
          parallelism: 10
    write:
      replicas: 3
      persistence:
        size: 50Gi
    read:
      replicas: 5
      persistence:
        size: 50Gi

Cloud Credential Configuration💣

Loki is able to use IAM Profiles attached to nodes on your instances, if you don’t specify loki.objectStorage.accessKey or loki.objectStorage.accessSecret loki will use the Profile attached to the instance. If you specify accessKey & accessSecret they will be mounted within a non encrypted/obfuscated configMap via the loki-simple-scalable chart so it is encouraged to utilize instance profiles where possible.

Override A Custom Configuration💣

If the above recommended configuration is not enough, you would like to add in additional options or utilize something like AWS DynamoDB as a table-manager instead of boltdb-shipper, you can override in your own full configuration under the global.config value:

loki:
  values:
    loki:
      config: |
        auth_enabled: true
        server:
          http_listen_port: 3100
          log_level: debug
          http_server_read_timeout: 300s
          http_server_write_timeout: 300s
        ...
        storage_config:
          aws:
            s3: s3://access_key:secret_access_key@region/bucket_name
            dynamodb:
              dynamodb_url: dynamodb://access_key:secret_access_key@region
        schema_config:
          configs:
          - from: 2022-01-01 # Anything in the past
            store: aws
            object_store: s3
            schema: v12
            index:
              prefix: prefix_loki_logs_
              period: 24h

See the Examples for cloud configuration provided by Grafana.

If you wish to use the monolith chart in production it is recommended that you instead utilize the simple-scalable-chart and external object storage, but you can deploy the monolith installation which is a single loki pod which writes/stores to local PVC storage:

loki:
  strategy: monolith
  values:
    monlith:
      persistence:
        enabled: true
    size: 40Gi

New Config Value Options💣

Since Big Bang chart version 4.X, Loki-simple-scalable version 1.X there is the ability to configure some options via loki value definitions, these options include: | Value | Documentation | | ------|---------------| | storage_config: {} | https://grafana.com/docs/loki/latest/configuration/#storage_config | | schemaConfig: {} | https://grafana.com/docs/loki/latest/configuration/#schema_config | | structuredConfig: {} | Structured loki configuration, takes precedence over global.config, global.schemaConfig, global.storageConfig | | query_scheduler: {} | https://grafana.com/docs/loki/latest/configuration/#query_scheduler | | commonConfig: {} | https://grafana.com/docs/loki/latest/configuration/#common | | memcached.chunk_cache: {} | https://grafana.com/docs/loki/latest/configuration/#cache_config | | memcached.results_cache: {} | https://grafana.com/docs/loki/latest/configuration/#query_range |

An example of using these new values is the memcached example in the Simple Scalable Recommended Production Configuration section above.


Last update: 2022-08-22 by Ryan Garcia