diff --git a/docs/getting-started/_index.md b/docs/getting-started/_index.md
index 19d744317e..fcc2ab0e9f 100644
--- a/docs/getting-started/_index.md
+++ b/docs/getting-started/_index.md
@@ -162,14 +162,21 @@ $ kubectl create namespace cortex
 $ kubectl -n cortex apply -f seaweedfs.yaml
 ```
 
+```sh
+# Wait for SeaweedFS to be ready
+$ kubectl -n cortex wait --for=condition=ready pod -l app=seaweedfs
+```
+
 ```sh
 # Port-forward to SeaweedFS to create a bucket
 $ kubectl -n cortex port-forward svc/seaweedfs 8333
 ```
 
-```shell
-# Create a bucket
-$ curl --aws-sigv4 "aws:amz:local:seaweedfs" --user "any:any" -X PUT http://localhost:8333/cortex-bucket
+```sh
+# Create buckets in SeaweedFS
+$ curl --aws-sigv4 "aws:amz:local:seaweedfs" --user "any:any" -X PUT http://localhost:8333/cortex-blocks
+$ curl --aws-sigv4 "aws:amz:local:seaweedfs" --user "any:any" -X PUT http://localhost:8333/cortex-ruler
+$ curl --aws-sigv4 "aws:amz:local:seaweedfs" --user "any:any" -X PUT http://localhost:8333/cortex-alertmanager
 ```
 
 #### Setup Cortex
@@ -177,7 +184,7 @@ $ curl --aws-sigv4 "aws:amz:local:seaweedfs" --user "any:any" -X PUT http://loca
 ```sh
 # Deploy Cortex using the provided values file which configures
 # - blocks storage to use the seaweedfs service
-$ helm upgrade --install --version=2.3.0  --namespace cortex cortex cortex-helm/cortex -f cortex-values.yaml
+$ helm upgrade --install --version=2.4.0  --namespace cortex cortex cortex-helm/cortex -f cortex-values.yaml
 ```
 
 #### Setup Prometheus
@@ -187,6 +194,10 @@ $ helm upgrade --install --version=2.3.0  --namespace cortex cortex cortex-helm/
 $ helm upgrade --install --version=25.20.1 --namespace cortex prometheus prometheus-community/prometheus -f prometheus-values.yaml
 ```
 
+If everything is working correctly, Prometheus should be sending metrics that it is scraping to Cortex. Prometheus is
+configured to send metrics to Cortex via `remote_write`. Check out the `prometheus-config.yaml` file to see
+how this is configured.
+
 #### Setup Grafana
 
 ```sh
@@ -194,48 +205,91 @@ $ helm upgrade --install --version=25.20.1 --namespace cortex prometheus prometh
 $ helm upgrade --install --version=7.3.9 --namespace cortex grafana grafana/grafana -f grafana-values.yaml
 ```
 
-#### Explore
+```sh
+# Create dashboards for Cortex
+$ for dashboard in $(ls dashboards); do
+  basename=$(basename -s .json $dashboard)
+  cmname=grafana-dashboard-$basename
+  kubectl create -n cortex cm $cmname --from-file=$dashboard=dashboards/$dashboard --save-config=true -o yaml --dry-run=client | kubectl apply -f -
+  kubectl patch -n cortex cm $cmname -p '{"metadata":{"labels":{"grafana_dashboard":""}}}'
+done
+
+```
 
 ```sh
 # Port-forward to Grafana to visualize
 kubectl --namespace cortex port-forward deploy/grafana 3000
 ```
 
-Grafana is configured to use Cortex as a data source. You can explore the data source in Grafana and query metrics. For example, this [explore](http://localhost:3000/explore?schemaVersion=1&panes=%7B%22au0%22:%7B%22datasource%22:%22P6693426190CB2316%22,%22queries%22:%5B%7B%22refId%22:%22A%22,%22expr%22:%22rate%28prometheus_remote_storage_samples_total%5B$__rate_interval%5D%29%22,%22range%22:true,%22instant%22:true,%22datasource%22:%7B%22type%22:%22prometheus%22,%22uid%22:%22P6693426190CB2316%22%7D,%22editorMode%22:%22builder%22,%22legendFormat%22:%22__auto%22,%22useBackend%22:false,%22disableTextWrap%22:false,%22fullMetaSearch%22:false,%22includeNullMetadata%22:false%7D%5D,%22range%22:%7B%22from%22:%22now-1h%22,%22to%22:%22now%22%7D%7D%7D&orgId=1) page is showing the rate of samples being sent to Cortex.
+#### Configure Cortex Recording Rules and Alerting Rules (Optional)
+
+We can configure Cortex with [cortextool](https://github.com/cortexproject/cortex-tools/) to load [recording rules](https://prometheus.io/docs/prometheus/latest/configuration/recording_rules/) and [alerting rules](https://prometheus.io/docs/prometheus/latest/configuration/alerting_rules/). This is optional, but it is helpful to see how Cortex can be configured to manage rules and alerts.
+
+```sh
+# Port forward to the alertmanager to configure recording rules and alerts
+$ kubectl --namespace cortex port-forward svc/cortex-nginx 8080:80
+```
+
+```sh
+# Configure recording rules for the cortex tenant
+$ cortextool rules sync rules.yaml alerts.yaml --id cortex --address http://localhost:8080
+```
 
+#### Configure Cortex Alertmanager (Optional)
+
+Cortex also comes with a multi-tenant Alertmanager. Let's load configuration for it to be able to view them in Grafana.
+
+```sh
+# Configure alertmanager for the cortex tenant
+$ cortextool alertmanager load alertmanager-config.yaml --id cortex --address http://localhost:8080
+```
+
+You can configure Alertmanager in [Grafana as well](http://localhost:3000/alerting/notifications?search=&alertmanager=Cortex%20Alertmanager).
+
+There's a list of recording rules and alerts that should be visible in Grafana [here](http://localhost:3000/alerting/list?view=list&search=datasource:Cortex).
+
+#### Explore
+
+Grafana is configured to use Cortex as a data source. Grafana is also configured with [Cortex Dashboards](http://localhost:3000/dashboards?tag=cortex) to understand the state of the Cortex instance. The dashboards are generated from the cortex-jsonnet repository. There is a Makefile in the repository that can be used to update the dashboards.
+
+```sh
+# Update the dashboards (optional)
+$ make
+```
 
 If everything is working correctly, then the metrics seen in Grafana were successfully sent from Prometheus to Cortex
-via remote_write!
+via `remote_write`!
 
 Other things to explore:
 
+[Cortex](http://localhost:9009) - Administrative interface for Cortex
+
 ```sh
-# Port forward to the ingester to see the administrative interface for Cortex:
-$ kubectl --namespace cortex port-forward deploy/cortex-ingester 8080
+# Port forward to the ingester to see the administrative interface for Cortex
+$ kubectl --namespace cortex port-forward deploy/cortex-ingester 9009:8080
 ```
 
-- [Cortex Ingester](http://localhost:8080)
-  - Try shutting down the [ingester](http://localhost:8080/ingester/shutdown) and see how it affects metric ingestion.
-  - Restart ingester pod to bring the ingester back online, and see if Prometheus affected.
-  - Does it affect the querying of metrics in Grafana? How many ingesters must be offline before it affects querying?
+- Try shutting down the ingester, and see how it affects metric ingestion.
+- Restart Cortex to bring the ingester back online, and see how Prometheus catches up.
+- Does it affect the querying of metrics in Grafana?
 
+[Prometheus](http://localhost:9090) - Prometheus instance that is sending metrics to Cortex
 
 ```sh
-# Port forward to Prometheus to see the metrics that are being scraped:
+# Port forward to Prometheus to see the metrics that are being scraped
 $ kubectl --namespace cortex port-forward deploy/prometheus-server 9090
 ```
+- Try querying the metrics in Prometheus.
+- Are they the same as what you see in Cortex?
 
-- [Prometheus](http://localhost:9090) - Prometheus instance that is sending metrics to Cortex
-  - Try querying the metrics in Prometheus.
-  - Are they the same as what you see in Cortex?
+[Grafana](http://localhost:3000) - Grafana instance that is visualizing the metrics.
 
 ```sh
-# Port forward to Prometheus to see the metrics that are being scraped:
+# Port forward to Grafana to visualize
 $ kubectl --namespace cortex port-forward deploy/grafana 3000
 ```
 
-- [Grafana](http://localhost:3000) - Grafana instance that is visualizing the metrics.
-  - Try creating a new dashboard and adding a new panel with a query to Cortex.
+- Try creating a new dashboard and adding a new panel with a query to Cortex.
 
 ### Clean up
 
diff --git a/docs/getting-started/cortex-values.yaml b/docs/getting-started/cortex-values.yaml
index 1be7862b1e..656e85f213 100644
--- a/docs/getting-started/cortex-values.yaml
+++ b/docs/getting-started/cortex-values.yaml
@@ -36,7 +36,7 @@ externalConfigSecretName: 'secret-with-config.yaml'
 externalConfigVersion: '0'
 
 config:
-  auth_enabled: false
+  auth_enabled: true
   api:
     prometheus_http_prefix: '/prometheus'
     # -- Use GZIP compression for API responses. Some endpoints serve large YAML or JSON blobs
@@ -82,7 +82,7 @@ config:
     s3: &s3
       endpoint: seaweedfs.cortex.svc.cluster.local:8333
       region: local
-      bucket_name: cortex-bucket
+      bucket_name: cortex-blocks
       access_key_id: any
       secret_access_key: any
       insecure: true
@@ -93,9 +93,13 @@ config:
       bucket_index:
         enabled: true
   alertmanager_storage:
-    s3: *s3
+    s3:
+      <<: *s3
+      bucket_name: cortex-alertmanager
   ruler_storage:
-    s3: *s3
+    s3:
+      <<: *s3
+      bucket_name: cortex-ruler
   # -- https://cortexmetrics.io/docs/configuration/configuration-file/#store_gateway_config
   store_gateway:
     sharding_enabled: false
@@ -144,7 +148,7 @@ config:
     cluster:
       listen_address: '0.0.0.0:9094'
     # -- Enable the experimental alertmanager config api.
-    enable_api: false
+    enable_api: true
     external_url: '/api/prom/alertmanager'
   frontend:
     log_queries_longer_than: 10s
@@ -275,10 +279,14 @@ alertmanager:
   extraContainers: []
 
   # -- Additional volumes to the cortex pod.
-  extraVolumes: []
+  extraVolumes:
+    - name: tmp
+      emptyDir: { }
 
   # -- Extra volume mounts that will be added to the cortex container
-  extraVolumeMounts: []
+  extraVolumeMounts:
+    - name: tmp
+      mountPath: /tmp
 
   # -- Additional ports to the cortex services. Useful to expose extra container ports.
   extraPorts: []
@@ -1423,11 +1431,7 @@ store_gateway:
       path: /ready
       port: http-metrics
       scheme: HTTP
-  livenessProbe:
-    httpGet:
-      path: /ready
-      port: http-metrics
-      scheme: HTTP
+  livenessProbe: {}
   readinessProbe:
     httpGet:
       path: /ready
@@ -1543,11 +1547,7 @@ compactor:
       path: /ready
       port: http-metrics
       scheme: HTTP
-  livenessProbe:
-    httpGet:
-      path: /ready
-      port: http-metrics
-      scheme: HTTP
+  livenessProbe: {}
   readinessProbe:
     httpGet:
       path: /ready
@@ -1670,4 +1670,5 @@ memcached-blocks-metadata:
 memberlist:
   service:
     annotations: {}
-    labels: {}
\ No newline at end of file
+    labels: {}
+
diff --git a/docs/getting-started/grafana-values.yaml b/docs/getting-started/grafana-values.yaml
index d612cb27d8..b36403b0a0 100644
--- a/docs/getting-started/grafana-values.yaml
+++ b/docs/getting-started/grafana-values.yaml
@@ -605,6 +605,15 @@ datasources:
       access: proxy
       isDefault: true
       editable: true
+      jsonData:
+        cacheLevel: None
+        httpHeaderName1: X-Scope-OrgID
+        httpMethod: POST
+        prometheusType: Cortex
+        prometheusVersion: 1.14.0
+        timeInterval: 15s
+      secureJsonData:
+        httpHeaderValue1: cortex
 #    - name: CloudWatch
 #      type: cloudwatch
 #      access: proxy
@@ -912,7 +921,7 @@ sidecar:
     # Sets the size limit of the alert sidecar emptyDir volume
     sizeLimit: {}
   dashboards:
-    enabled: false
+    enabled: true
     # Additional environment variables for the dashboards sidecar
     env: {}
     # Do not reprocess already processed unchanged resources on k8s API reconnect.
diff --git a/docs/getting-started/prometheus-values.yaml b/docs/getting-started/prometheus-values.yaml
index c7ca147ad7..ef3ea08cbf 100644
--- a/docs/getting-started/prometheus-values.yaml
+++ b/docs/getting-started/prometheus-values.yaml
@@ -249,6 +249,8 @@ server:
   ##
   remoteWrite:
     - url: http://cortex-nginx/api/v1/push
+      headers:
+        X-Scope-OrgID: "cortex"
   ## https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_read
   ##
   remoteRead: []
diff --git a/docs/getting-started/seaweedfs.yaml b/docs/getting-started/seaweedfs.yaml
index 5ca4f24ddb..974e79102f 100644
--- a/docs/getting-started/seaweedfs.yaml
+++ b/docs/getting-started/seaweedfs.yaml
@@ -47,8 +47,13 @@ spec:
             - "server"
             - "-s3"
             - "-s3.config=/workspace/seaweedfs-config.json"
+          readinessProbe:
+            httpGet:
+              path: /status
+              port: 8333
           ports:
             - containerPort: 8333
+              name: seaweedfs
           volumeMounts:
             - name: seaweedfs-config
               mountPath: /workspace