This is documentation for the next version of Loki. For the latest stable release, go to the latest version.
Install the microservice Helm chart
This Helm Chart deploys Grafana Loki on Kubernetes.
This Helm chart deploys Loki to run Loki in microservice mode within a Kubernetes cluster. The microservices deployment mode runs components of Loki as distinct processes.
The default Helm chart deploys the following components:
- Compactor component (1 replica): Compacts and processes stored data.
- Distributor component (3 replicas, maxUnavailable: 2): Distributes incoming requests. Up to 2 replicas can be unavailable during updates.
- IndexGateway component (2 replicas, maxUnavailable: 1): Handles indexing. Up to 1 replica can be unavailable during updates.
- Ingester component (3 replicas): Handles ingestion of data.
- Querier component (3 replicas, maxUnavailable: 2): Processes queries. Up to 2 replicas can be unavailable during updates.
- QueryFrontend component (2 replicas, maxUnavailable: 1): Manages frontend queries. Up to 1 replica can be unavailable during updates.
- QueryScheduler component (2 replicas): Schedules queries.
Note
We do not recommend running in Microservice mode withfilesystem
storage. For the purpose of this guide, we will use MinIO as the object storage to provide a complete example.
Prerequisites
- Helm 3 or above. See Installing Helm.
- A running Kubernetes cluster (must have at least 3 nodes).
Deploying the Helm chart for development and testing
Add Grafana’s chart repository to Helm:
helm repo add grafana https://grafana.github.io/helm-charts
Update the chart repository:
helm repo update
Create the configuration file
values.yaml
. The example below illustrates how to deploy Loki in test mode using MinIO as storage:loki: schemaConfig: configs: - from: "2024-04-01" store: tsdb object_store: s3 schema: v13 index: prefix: loki_index_ period: 24h ingester: chunk_encoding: snappy querier: # Default is 4, if you have enough memory and CPU you can increase, reduce if OOMing max_concurrent: 4 pattern_ingester: enabled: true limits_config: allow_structured_metadata: true volume_enabled: true retention_period: 672h compactor: retention_enabled: true delete_request_store: s3 deploymentMode: Distributed ingester: replicas: 3 # To ensure data durability with replication querier: replicas: 3 # Improve query performance via parallelism maxUnavailable: 2 queryFrontend: replicas: 2 maxUnavailable: 1 queryScheduler: replicas: 2 distributor: replicas: 3 maxUnavailable: 2 compactor: replicas: 1 indexGateway: replicas: 2 maxUnavailable: 1 bloomPlanner: replicas: 0 bloomBuilder: replicas: 0 bloomGateway: replicas: 0 backend: replicas: 0 read: replicas: 0 write: replicas: 0 singleBinary: replicas: 0 # This exposes the Loki gateway so it can be written to and queried externaly gateway: service: type: LoadBalancer # Enable minio for storage minio: enabled: true
Install or upgrade the Loki deployment.
- To install:
helm install --values values.yaml loki grafana/loki
- To upgrade:
helm upgrade --values values.yaml loki grafana/loki
- To install:
Verify that Loki is running:
kubectl get pods -n loki
The output should an output similar to the following:
loki-canary-8thrx 1/1 Running 0 167m loki-canary-h965l 1/1 Running 0 167m loki-canary-th8kb 1/1 Running 0 167m loki-chunks-cache-0 2/2 Running 0 167m loki-compactor-0 1/1 Running 0 167m loki-compactor-1 1/1 Running 0 167m loki-distributor-7c9bb8f4dd-bcwc5 1/1 Running 0 167m loki-distributor-7c9bb8f4dd-jh9h8 1/1 Running 0 167m loki-distributor-7c9bb8f4dd-np5dw 1/1 Running 0 167m loki-gateway-77bc447887-qgc56 1/1 Running 0 167m loki-index-gateway-0 1/1 Running 0 167m loki-index-gateway-1 1/1 Running 0 166m loki-ingester-zone-a-0 1/1 Running 0 167m loki-ingester-zone-b-0 1/1 Running 0 167m loki-ingester-zone-c-0 1/1 Running 0 167m loki-minio-0 1/1 Running 0 167m loki-querier-bb8695c6d-bv9x2 1/1 Running 0 167m loki-querier-bb8695c6d-bz2rw 1/1 Running 0 167m loki-querier-bb8695c6d-z9qf8 1/1 Running 0 167m loki-query-frontend-6659566b49-528j5 1/1 Running 0 167m loki-query-frontend-6659566b49-84jtx 1/1 Running 0 167m loki-query-frontend-6659566b49-9wfr7 1/1 Running 0 167m loki-query-scheduler-f6dc4b949-fknfk 1/1 Running 0 167m loki-query-scheduler-f6dc4b949-h4nwh 1/1 Running 0 167m loki-query-scheduler-f6dc4b949-scfwp 1/1 Running 0 167m loki-results-cache-0 2/2 Running 0 167m
Object Storage Configuration
After testing Loki with MinIO, we recommend configuring Loki with an object storage provider. The following examples shows how to configure Loki with different object storage providers:
Caution
When deploying Loki using S3 Storage DO NOT use the default bucket names;chunk
,ruler
andadmin
. Choose a unique name for each bucket. For more information see the following security update. This caution does not apply when you are using MinIO. When using MinIO we recommend using the default bucket names.
# Example configuration for Loki with S3 storage
loki:
schemaConfig:
configs:
- from: 2024-04-01
store: tsdb
object_store: s3
schema: v13
index:
prefix: loki_index_
period: 24h
storage_config:
aws:
region: <AWS region your bucket is in, for example, `eu-west-2`>
bucketnames: <Your AWS bucket for chunk, for example, `aws-loki-dev-chunk`>
s3forcepathstyle: false
ingester:
chunk_encoding: snappy
pattern_ingester:
enabled: true
limits_config:
allow_structured_metadata: true
volume_enabled: true
retention_period: 672h # 28 days retention
querier:
max_concurrent: 4
storage:
type: s3
bucketNames:
chunks: <Your AWS bucket for chunk, for example, `aws-loki-dev-chunk`>
ruler: <Your AWS bucket for ruler, for example, `aws-loki-dev-ruler`>
admin: <Your AWS bucket for admin, for example, `aws-loki-dev-admin`>
s3:
# s3 URL can be used to specify the endpoint, access key, secret key, and bucket name this works well for S3 compatible storage or if you are hosting Loki on-premises and want to use S3 as the storage backend. Either use the s3 URL or the individual fields below (AWS endpoint, region, secret).
s3: s3://access_key:secret_access_key@custom_endpoint/bucket_name
# AWS endpoint URL
endpoint: <your-endpoint>
# AWS region where the S3 bucket is located
region: <your-region>
# AWS secret access key
secretAccessKey: <your-secret-access-key>
# AWS access key ID
accessKeyId: <your-access-key-id>
# AWS signature version (e.g., v2 or v4)
signatureVersion: <your-signature-version>
# Forces the path style for S3 (true/false)
s3ForcePathStyle: false
# Allows insecure (HTTP) connections (true/false)
insecure: false
# HTTP configuration settings
http_config: {}
deploymentMode: Distributed
# Disable minio storage
minio:
enabled: false
ingester:
replicas: 3
querier:
replicas: 3
maxUnavailable: 2
queryFrontend:
replicas: 2
maxUnavailable: 1
queryScheduler:
replicas: 2
distributor:
replicas: 3
maxUnavailable: 2
compactor:
replicas: 1
indexGateway:
replicas: 2
maxUnavailable: 1
bloomPlanner:
replicas: 0
bloomBuilder:
replicas: 0
bloomGateway:
replicas: 0
backend:
replicas: 0
read:
replicas: 0
write:
replicas: 0
singleBinary:
replicas: 0
# Example configuration for Loki with Azure Blob Storage
loki:
schemaConfig:
configs:
- from: "2024-04-01"
store: tsdb
object_store: azure
schema: v13
index:
prefix: loki_index_
period: 24h
ingester:
chunk_encoding: snappy
tracing:
enabled: true
querier:
max_concurrent: 4
storage:
type: azure
azure:
# Name of the Azure Blob Storage account
accountName: <your-account-name>
# Key associated with the Azure Blob Storage account
accountKey: <your-account-key>
# Comprehensive connection string for Azure Blob Storage account (Can be used to replace endpoint, accountName, and accountKey)
connectionString: <your-connection-string>
# Flag indicating whether to use Azure Managed Identity for authentication
useManagedIdentity: false
# Flag indicating whether to use a federated token for authentication
useFederatedToken: false
# Client ID of the user-assigned managed identity (if applicable)
userAssignedId: <your-user-assigned-id>
# Timeout duration for requests made to the Azure Blob Storage account (in seconds)
requestTimeout: <your-request-timeout>
# Domain suffix of the Azure Blob Storage service endpoint (e.g., core.windows.net)
endpointSuffix: <your-endpoint-suffix>
bucketNames:
chunks: "chunks"
ruler: "ruler"
admin: "admin"
deploymentMode: Distributed
ingester:
replicas: 3
querier:
replicas: 3
maxUnavailable: 2
queryFrontend:
replicas: 2
maxUnavailable: 1
queryScheduler:
replicas: 2
distributor:
replicas: 3
maxUnavailable: 2
compactor:
replicas: 1
indexGateway:
replicas: 2
maxUnavailable: 1
bloomPlanner:
replicas: 0
bloomBuilder:
replicas: 0
bloomGateway:
replicas: 0
backend:
replicas: 0
read:
replicas: 0
write:
replicas: 0
singleBinary:
replicas: 0
To configure other storage providers, refer to the Helm Chart Reference.
Deploying the Loki Helm chart to a Production Environment
Note
We are actively working on providing more guides for deploying Loki in production.
We recommend running Loki at scale within a cloud environment like AWS, Azure, or GCP. The below guides will show you how to deploy a minimally viable production environment.
Next Steps
- Configure an agent to send log data to Loki.
- Monitor the Loki deployment using the Meta Monitoring Helm chart