This is a Helm Chart for Thanos. It does not include the required Prometheus and sidecar installation.

Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity, which can be added seamlessly on top of existing Prometheus deployments.

Thanos leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.

Concretely the aims of the project are:

• Global query view of metrics.
• Unlimited retention of metrics.
• High availability of components, including Prometheus.

This chart is in Beta state to provide easy installation via Helm chart. Things that we are improving in near future:

• Automatic TLS generation for communicating between in-cluster components
• Support for tracing configuration
• Grafana dashboards
• Informative NOTES.txt

This Chart will install a complete Thanos solution. To understand how Thanos works please read it's official Architecture design.

Add Banzai Cloud repository:

$ helm repo add banzaicloud-stable https://kubernetes-charts.banzaicloud.com

type: GCS
config:
  bucket: "thanos"
  service_account: |-
    {
      "type": "service_account",
      "project_id": "project",
      "private_key_id": "abcdefghijklmnopqrstuvwxyz12345678906666",
      "private_key": "-----BEGIN PRIVATE KEY-----\...\n-----END PRIVATE KEY-----\n",
      "client_email": "project@thanos.iam.gserviceaccount.com",
      "client_id": "123456789012345678901",
      "auth_uri": "https://accounts.google.com/o/oauth2/auth",
      "token_uri": "https://oauth2.googleapis.com/token",
      "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
      "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/thanos%40gitpods.iam.gserviceaccount.com"
    }

This is an example configuration using thanos with S3. Check endpoints here: https://docs.aws.amazon.com/general/latest/gr/rande.html#s3_region

type: S3
config:
  bucket: ""
  endpoint: ""
  region: ""
  access_key: ""
  insecure: false
  signature_version2: false
  secret_key: ""
  put_user_metadata: {}
  http_config:
    idle_conn_timeout: 0s
    response_header_timeout: 0s
    insecure_skip_verify: false
  trace:
    enable: false
  part_size: 0

type: AZURE
config:
  storage_account: ""
  storage_account_key: ""
  container: ""
  endpoint: ""
  max_retries: 0

Create the Service Account and Bucket at Google cloud.

helm install banzaicloud-stable/thanos --name thanos -f my-values.yaml --set-file objstoreFile=object-store.yaml

Visit the Bucket browser

kubectl port-forward svc/thanos-bucket 8080 &
open http://localhost:8080

Extra configuration for prometheus operator.

Note: Prometheus-operator and Thanos MUST be in the same namespace.

prometheus:
  prometheusSpec:
    thanos:
      image: quay.io/thanos/thanos:v0.9.0
      version: v0.9.0
      objectStorageConfig:
        name: thanos
        key: object-store.yaml

Install prometheus-operator

helm install stable/prometheus-operator -f thanos-sidecar.yaml

This section describes the values available

These setting applicable to nearly all components.

These values are just samples, for more fine-tuning please check the values.yaml.

Thanos store supports partition based on time. Setting time partitions will create n number of store deployment based on the number of items in the list. Each item must contain min and max time for querying in the supported format (see details here See details at https://thanos.io/components/store.md/#time-based-partioning ). Leaving this empty list ([]) will create a single store for all data. Example - This will create 3 stores:

timePartioning:
  # One store for data older than 6 weeks
  - min: ""
    max: -6w
  # One store for data newer than 6 weeks and older than 2 weeks
  - min: -6w
    max: -2w
  # One store for data newer than 2 weeks
  - min: -2w
    max: ""

Contributions are very welcome!