demo-k6-operator

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demo-k6-operator

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Project for demonstrating the use of k6-operator within Kubernetes clusters.

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# Demo for k6-operator
Demo files for the [_"Running distributed load tests with k6"_](https://www.meetup.com/kubernetes-cloud-native-stl/events/288633674/) ([Video](https://www.youtube.com/watch?v=wv2jq8rS-mk)), 
originally presented to the _Kubernetes & Cloud Native STL_ meetup group.

## Prerequisites
* [git](https://git-scm.com/) - For accessing the sourcecode repositories.
* [Docker](https://docs.docker.com/get-docker/) - For building our custom k6 and running the examples.
* [kubectl](https://kubernetes.io/releases/download/#kubectl) - Client for talking to Kubernetes clusters.
* [go](https://go.dev/doc/install) - To build and install k6-operator.
* [Yq](https://mikefarah.gitbook.io/yq/) - Just for the helper scripts to parse YAML files.

There _may_ be others that I didn't recall as having them installed long ago. My apologies for any issues!

## Gather sources
For the demo, we'll be pulling the code sources for the operator as well as any desired extensions. For housekeeping
purposes, we'll locate each repository in the `dependencies` directory.

```shell
# Pull down the operator which we'll install into Kubernetes.
git clone https://github.com/grafana/k6-operator.git dependencies/k6-operator

# At minimum, we're adding the ability to output test metrics to InfluxDB as well as Kafka.
git clone https://github.com/grafana/xk6-output-influxdb dependencies/xk6-output-influxdb
git clone https://github.com/grafana/xk6-output-kafka dependencies/xk6-output-kafka
```

> [!NOTE]
> If you'd like additional extensions to try out, take a look at the [Explore section](https://k6.io/docs/extensions/getting-started/explore/)
> of the k6 documentation for a listing of known extensions.

## Build our customized k6 image
In order to create our k6 image using our desired extensions, we'll need to build using xk6. Our [Dockerfile](Dockerfile) will 
set up our Go environment and handle the build.

```shell
# Build the image to be published.
# NOTE: You'll want to change the image name from `javaducky/...` to use your Dockerhub user id!
docker build -t javaducky/demo-k6-operator:latest .

# Publish your image to Dockerhub or whichever container registry your Kubernetes cluster can access.
docker push javaducky/demo-k6-operator:latest
```
> [!NOTE]
> If you've browsed the [list of known extensions](https://k6.io/docs/extensions/getting-started/explore/) and wish
> to include more custom functionality, update the [Dockerfile](Dockerfile#L14-L16) to include your desired extensions using the `--with`
> option. More details about building custom binaries with xk6 can be found in the [documentation](https://k6.io/docs/extensions/guides/build-a-k6-binary-with-extensions/).

## Running a local test
Before entering the world of distributed tests in Kubernetes, let's exercise our new image the _typical_ way; a single
instance, but we'll still use Docker to execute the test.

```shell
docker run -v $PWD:/scripts -it --rm javaducky/demo-k6-operator run /scripts/test-scripts/simple.js
```
:thumbsup: **OR** use the provided convenience script...
```shell
# Helper script to run k6 as a Docker container.
./run-local.sh test-scripts/simple.js
```
:point_right: The above will run _my_ publicly available image, so you can override the image by specifying the `IMAGE_NAME`
environment variable as in the following.
```shell
# To run another image, override the `IMAGE_NAME` variable.
IMAGE_NAME=my-custom-image ./run-local.sh test-scripts/simple.js
```

Again, this closely resembles the typical usage when you have a k6 binary installed on your system. You see log output
directly on the console and see the result summary at the end of the test.

## Create a local Kubernetes cluster (optional)
I'm using [k3d](https://k3d.io/) locally to run a _Kubernetes_ cluster within _Docker_. Once installed, I use 
the following command to create a cluster named `k6-demo-cluster`.

```shell
k3d cluster create k6-demo-cluster \
 --api-port 6550 \
 -p "8081:80@loadbalancer" \
 --agents 3
```
> [!NOTE]
> If you've previously created the cluster, you can start the cluster using `k3d cluster start k6-demo-cluster`
> if not already running.

Once this is complete, I now have a running Kubernetes cluster on which I can use `kubectl` as well as other tooling 
like [k9s](https://k9scli.io/).

## Build and install the k6-operator
> [!IMPORTANT]
> Always ensure your `kubectl` is set to the appropriate profile targeting the correct cluster!
Clone the k6-operator source code into our working directory. We'll be building and installing directly from the source code.

> [!TIP]
> **Helm chart available!** If you'd rather install via Helm, you can install the k6 chart as below:
> ```shell
> helm repo add grafana https://grafana.github.io/helm-charts
> helm repo update
> helm install k6-operator grafana/k6-operator
> ```

```shell
# Change into the k6-operator source directory. (You downloaded this in the first step!)
cd dependencies/k6-operator
make deploy
cd ../..

```
> [!NOTE]
> If you'd like to perform k6-browser tests, I've got custom images for the operator which can be installed instead:
> ```shell
> # Change into the k6-operator source directory. (You downloaded this in the first step!)
> cd dependencies/k6-operator
> IMG_NAME="javaducky/k6-operator" IMG_TAG="with-browser" make deploy
> cd ../..
> ```

At this point, the operator and applicable resource definition have been installed into your Kubernetes cluster.

## Resource setup
Now that we have a working Kubernetes cluster, let's create an isolated _Namespace_ and add our
example test scripts as a _ConfigMap_.

```shell
# Let's create an isolated namespace for our testing
kubectl create namespace k6-demo

# Create a ConfigMap containing each of your test scripts
kubectl create configmap test-scripts -n k6-demo \
 --from-file=./test-scripts/simple.js \
 --from-file=./test-scripts/simple-checks.js \
 --from-file=./test-scripts/simple-browser.js \
 --from-file=./test-scripts/multi-scenario.js \
 --from-file=./test-scripts/door-buster-sale.js
```

### Grafana Cloud (Prometheus)
For my demonstration, I'm using the _Free Forever Cloud_ from [Grafana Cloud](https://grafana.com/products/cloud/)
which will receive Prometheus metrics during test executions.

Once signed up, update the Prometheus endpoint, user, and password (api-key) placeholders for your account in the
following commands.

> [!TIP]
> Take a look at the [k6 docs](https://k6.io/docs/results-output/real-time/grafana-cloud/) for more information on setting up your account and API key.

```shell
# Create a ConfigMap with our non-secret configuration for our cloud account
kubectl create configmap -n k6-demo prometheus-config \
 --from-literal=K6_PROMETHEUS_RW_SERVER_URL=[YOUR REMOTE WRITE ENDPOINT] \
 --from-literal=K6_PROMETHEUS_RW_STALE_MARKERS=true

# Create a secret with our authentication data for our cloud account
kubectl create secret -n k6-demo generic prometheus-secrets \
 --from-literal=K6_PROMETHEUS_RW_USERNAME=[YOUR USERNAME] \
 --from-literal=K6_PROMETHEUS_RW_PASSWORD=[YOUR PASSWORD] 
```

### Grafana k6 Cloud
Not only can we use the Grafana _Free Forever Cloud_, but we can also sign up to use the 
[Grafana k6 Cloud](https://app.k6.io/account/register) offering for the _same low price_ (FREE)!

After signing up, update the project ID and api-key placeholders below then create your 
Kubernetes secret.

> [!TIP]
> Take a look at the [k6 docs](https://k6.io/docs/cloud/integrations/token/#organization-api-token) for more information on creating your API key.

```shell
kubectl create secret -n k6-demo generic k6-cloud-secrets \
 --from-literal=K6_CLOUD_PROJECT_ID=[YOUR PROJECT ID]
 --from-literal=K6_CLOUD_TOKEN=[YOUR K6 API KEY]
```

Now that we have our necessary resources available in Kubernetes, we can trigger a test execution.

## Running a distributed test
To perform a distributed test, you simply apply the k6 custom resource definition (CRD) to your
Kubernetes cluster using the standard `kubectl` tool.

```shell
# Adds the k6 CRD to trigger an test execution
kubectl apply -n k6-demo -f resources/k6-output-grafana-cloud.yaml
```
Once you've finished up, you can clear previous executions from your Kubernetes cluster in order
to run the same script again.
```shell
# Post-test cleanup paves way for next test execution
kubectl delete -n k6-demo -f resources/k6-output-grafana-cloud.yaml
```
:thumbsup: My dashboard example makes use of a custom `testid` tag to keep track of each test run.
For this, I use the convenience script `run-kube.sh` which will add a unique timestamp to keep
each test execution separate. This script will also replace a previous execution of the test resource
if one already existed.
```shell
# Removes previous execution (if any), then run test with a unique `testid`
./run-kube.sh resources/k6-output-grafana-cloud.yaml
```
:point_right: The same process can be used to publish metrics to the _Grafana k6 Cloud_ by running 
the [k6-output-k6-cloud.yaml](resources/k6-output-k6-cloud.yaml) instead.

> [!WARNING]
> By default, the free-tier subscription for k6 Cloud will only allow for parallel execution,
> nor multiple scenarios.

## Looking for more?!
Additional scenarios are available:
- [InfluxDB](scenario/influxdb/README.md) - Output metrics to an InfluxDB 2.0 instance running in Docker.

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