Preface
Prometheus is widely adopted as a standard monitoring tool with Kubernetes because it provides many useful features such as dynamic service discovery, powerful queries, and seamless alert notification integration. There are many applications and client libraries support Prometheus which makes the operation’s life easier. Although things are going pretty well with prometheus, the original prometheus deployment is not able to easily achieve High Availablity and long term storage.
Thanos comes to the rescue

Thanos is developed by improbable which can be integrated with prometheus transparently and solve HA and long term storage issues without hurting performance. The idea of Thanos is to run sidecar component of prometheus, therefore meaning that sidecar components can interact with prometheus to upload or query metrics. Also, prometheus operator supports thanos natively which make us easier to deploy our promtheus cluster along with thanos. This solution seems pretty elegant when you choose prometheus operator to provision prometheus cluster.
This article includes the following contents
- How to deploy the prometheus operator on the kubernetes
- How to deploy the thanos sidecar w/ prometheus.
- Achieve HA: using thanos querier
- Query historical data: thanos store
- Reduce data size: thanos compactor
Install Prometheus through Prometheus operator
There are tons of article introducing why we need to adopt prometheus-operator to provision prometheus. I recommend you read the following references[2] if you are not familiar with prometheus-operator.
1. Install Helm in your environment
- MacOS:
brew install kubernetes-helm - Linux:
sudo snap install helm
2. Initialize helm and install tiller
$ helm init
3. Install coreos prometheus operator
Note that we are using stable/prometheus-operator because coreos/prometheus-operator helm is going to be deprecated. We later need to modify chart value to provision prometheus cluster along with thanos sidecar. To install a stable helm chart with custom value, you need to download values.yaml from github repo.
In this example, we named our prometheus operator as prom-op and install it under monitoring namespace.
$ helm upgrade --install prom-op stable/prometheus-operator --namespace monitoring -f values.yaml
Use the following command to verify if prometheus-operator is provisioning successfully.
kubectl --namespace monitoring get pods -l "release=prom-op"
Thanos Deployment
**NEED TO KNOW ** prometheus-operator should be greater than 0.28.0 to support Thanos 2.0
Thanos Architecture
Official Architecture of Thanos

Our deployment steps

According to the above picture, there are several components of thanos:
- Sidecar
- Querier
- Store
- Compactor
The deployment steps:
- Prometheus should be deployed with thanos
Sidecar. - Deploy Thanos
Querierwhich is able to talks to prometheusSidecarthrough gossip protocol. - Make sure Thanos
Sidecaris able to upload prometheus metrics to the given S3 bucket. - Establish the Thanos
Storefor retrieving long term storage. - Set up the
Compactorto shrink historical data.
Install Thanos sidecar
To install Thanos sidecar along with prometheus-operator, we should specify thanos sidecar in the chart value as following:
thanos:
baseImage: improbable/thanos
version: v0.2.1
peers: thanos-peers.monitoring.svc:10900
objectStorageConfig:
key: thanos.yaml
name: thanos-objstore-config
objectStorageConfig can be configured through configuration file thanos.yaml
type: s3
config:
bucket: test-prometheus-thanos
endpoint: s3.us-west-2.amazonaws.com
encryptsse: true
Creating the kubernetes secret by applying following command
kubectl -n monitoring create secret generic thanos-objstore-config --from-file=thanos.yaml=/tmp/thanos-config.yaml
Warn: endpoint needs to be set in order to specify bucket located in which region.
Verify Thanos Sidecar
$ kubectl get po -n monitoring
kubectl describe po/prometheus-prom-op-prometheus-0 -n monitoring
If everything goes well, we could find out there is thanos-sidecar in the prometheus pod
thanos-sidecar:
Container ID: docker://e52df9fda7b0c43eea297d273169cf33e4aa49780fd8d5192c23f497c78b2007
Image: improbable/thanos:v0.2.1
Image ID: docker-pullable://improbable/thanos@sha256:4ee0774316a5d57f78d243fe4afb10e9e889670d3facfdda70aae76f7165a16b
Ports: 10902/TCP, 10901/TCP, 10900/TCP
Host Ports: 0/TCP, 0/TCP, 0/TCP
Args:
sidecar
--prometheus.url=http://127.0.0.1:9090
--tsdb.path=/prometheus
--cluster.address=[$(POD_IP)]:10900
--grpc-address=[$(POD_IP)]:10901
--cluster.peers=thanos-peers.monitoring.svc.cluster.local:10900
State: Running
Started: Fri, 01 Feb 2019 12:24:38 +0800
Ready: True
Restart Count: 0
Environment:
POD_IP: (v1:status.podIP)
Mounts:
/prometheus from prometheus-prom-op-prometheus-db (rw)
/var/run/secrets/kubernetes.io/serviceaccount from prom-op-prometheus-token-7gvcp (ro)
and if you check the log of sidecar, you will see following messages.
kubectl log -f po/prometheus-prom-op-prometheus-0 -n monitoring -c thanos-sidecar
level=info ts=2019-02-01T09:33:15.173007261Z caller=flags.go:90 msg="StoreAPI address that will be propagated through gossip" address=10.11.29.191:10901
level=info ts=2019-02-01T09:33:20.178094001Z caller=main.go:256 component=sidecar msg="disabled TLS, key and cert must be set to enable"
level=info ts=2019-02-01T09:33:20.178211091Z caller=factory.go:39 msg="loading bucket configuration"
level=info ts=2019-02-01T09:33:20.17855779Z caller=sidecar.go:280 msg="starting sidecar" peer=
level=info ts=2019-02-01T09:33:20.179145313Z caller=sidecar.go:220 component=sidecar msg="Listening for StoreAPI gRPC" address=[10.11.29.191]:10901
level=info ts=2019-02-01T09:33:20.179187469Z caller=main.go:308 msg="Listening for metrics" address=0.0.0.0:10902
level=info ts=2019-02-01T12:33:50.282222532Z caller=shipper.go:201 msg="upload new block" id=01D2MGSADK1860F4APSD7CFZ7C
Install Thanos Querier
Thanos Querier Layer provides the ability to retrieve metrics from all prometheus instances at once. It’s fully compatible with original prometheus PromQL and HTTP APIs so that it can be used along with Grafana.
Since there are too many yaml files, I put everything in my github repo
$ cd thanos
$ kubectl apply -f querier-deployment.yaml
$ kubectl apply -f querier-service.yaml
$ kubectl apply -f querier-service-monitor.yaml
$ kubectl apply -f thanos-peers-svc.yaml
Install Thanos Store
Thanos Store collaborates with querier for retrieving historical data from the given bucket. It will join the Thanos cluster on setup.
$ kubectl apply -f thanos-store.yaml
Install Thanos Compactor
Thanos Compactor will do downsampling for your all historical data. It’s a really useful component which can reduce file size. Recommend everyone read this well explained article.
$ kubectl apply -f thanos-compactor.yaml
$ kubectl apply -f thanos-compactor-service.yaml
$ kubectl apply -f thanos-compactor-service-monitor.yaml
Troubleshooting
Peering service didn’t set up properly
you will see this kind of message of thanos component
level=error ts=2019-02-01T05:11:40.805153721Z caller=cluster.go:269 component=cluster msg="Refreshing memberlist" err="join peers thanos-peers.monitoring.svc.cluster.local:10900 : 1 error occurred:\n\t* Failed to resolve thanos-peers.monitoring.svc.cluster.local:10900: lookup thanos-peers.monitoring.svc.cluster.local on 172.20.0.10:53: no such host\n\n"
$ kubectl apply -f thanos-peers-svc.yaml
References
- https://github.com/coreos/prometheus-operator/blob/master/Documentation/user-guides/getting-started.md
- https://sysdig.com/blog/kubernetes-monitoring-prometheus-operator-part3/
- https://github.com/coreos/prometheus-operator/blob/master/Documentation/user-guides/alerting.md
- Thanos___Transforming_Prometheus_to_a_Global_Scale_in_a_Seven_Simple_Steps_(FOSDEM).pdf