Expand your Kubernetes knowledge with techniques to make your clusters dynamic and resilient.

DevOps for Developers

The world of DevOps has exploded with the help of technologies like Kubernetes and Docker.
In this course, you will learn about more advanced Kubernetes features such as monitoring, alerting, logging, and scaling - crucial concepts for any DevOps professional. You will learn how to monitor clusters, how to send alerts when potential issues arise, and how to query the whole system’s metrics and logs.
By the end of this course, you will have the required knowledge to make your clusters and applications truly dynamic and resilient, so that they require minimal manual involvement and are self-adaptive.

Kubernetes Monitoring, Logging and Auto-Scaling

# Install and set-up `Grafana`

You probably know what's coming next. We Google "Grafana Helm" and hope that the community already created a Chart we can use. I'll save you from the search by revealing that there is `Grafana` in Helm's *stable* channel. All we have to do is inspect the values and choose which ones we'll use.

```shell
helm inspect values stable/grafana
```

I won't go through all the values we could use. I assume that, by now, you are a Helm ninja and that you can explore them yourself. Instead, we'll use the values I already defined.


```shell
cat mon/grafana-values-bare.yml
```

The **output** is as follows.

```yaml
ingress:
  enabled: true
persistence:
  enabled: true
  accessModes:
  - ReadWriteOnce
  size: 1Gi
resources:
  limits:
    cpu: 20m
    memory: 50Mi
  requests:
    cpu: 5m
    memory: 25Mi
```

There's nothing special about those values. We enabled Ingress, we set `persistence`, and we defined the `resources`. As the name of the file indicates, it's a very bare setup without anything fluffy.


All that's left is to install the Chart.

```shell
GRAFANA_ADDR="grafana.$LB_IP.nip.io"

helm install grafana \
    stable/grafana \
    --namespace metrics \
    --version 4.1.3 \
    --set ingress.hosts="{$GRAFANA_ADDR}" \
    --values mon/grafana-values-bare.yml

kubectl -n metrics \
    rollout status deployment grafana
```

Now we can open `Grafana` in your favorite browser.

```shell
open "http://$GRAFANA_ADDR"
```

## Login into `Grafana`

You are presented with the login screen. Just as with many other Helm Charts, the installation comes with the `admin` user and the password stored as a Secret.

```shell
kubectl -n metrics \
    get secret grafana \
    -o jsonpath="{.data.admin-password}" \
    | base64 --decode; echo
```

Please go back to the `Grafana` login screen, type *admin* as the *username*, and paste the output of the previous command as the *password*.


## Set `Prometheus` as a data source

`Grafana` does not collect metrics. Instead, it uses other sources of data, so our first action is to set `Prometheus` as the data source.

Please click the *Add data source* icon and click the *Select* button inside *Prometheus*.

Type `Prometheus` as the *Name*. We'll let `Grafana` connect to it through the Kubernetes Service `prometheus-server`. Since both are in the same Namespace, the *URL* should be set to `http://prometheus-server`. All that's left is to *Save & Test*.

>🔍 The outputs and screenshots in this chapter are taken from Docker For Desktop. There might be slight differences between what you see here and what you can observe on your screen.


This lesson focuses on the Installation and setting up part of Grafana.

Installing And Setting up Grafana

Install and set-up Grafana

Install and set-up `Grafana`