# Kestra

A video walkthrough can be found below:

{% embed url="<https://youtu.be/fWYxJtp-vUE>" %}

## Prerequisites

1. WarpStream account - get access to WarpStream by registering [here](https://console.warpstream.com/signup).
2. Install and run Kestra - instructions are [here](https://kestra.io/docs/getting-started/quickstart).
3. Serverless WarpStream cluster up and running - explanation is below.

## Step 1: Create a cluster and topic in WarpStream

You will need a running cluster that contains a topic with data. For this example, we will use the WarpStream tutorial cluster and topic that you get the first time you create a WarpStream cluster.

Obtain the Bootstrap Broker from the WarpStream console by navigating to your cluster and clicking the Connect tab. If you don't have SASL credentials yet, you can also [create a set of credentials](/warpstream/kafka/manage-security/sasl-authentication.md#creating-credentials) from the console.

Store these values for easy reference; they will be needed in Kestra. If you are going to produce records to your topic from the command line, then export them as environment variables in a terminal window:

```bash
export BOOTSTRAP_HOST=<YOUR_BOOTSTRAP_BROKER> \
SASL_USERNAME=<YOUR_SASL_USERNAME> \
SASL_PASSWORD=<YOUR_SASL_PASSWORD>;
```

Then, create a topic in the WarpStream console if you don't already have one. Ensure data is being produced to a topic for Kestra to act on.

## Step 2: Produce some records

You can use the WarpStream CLI to produce messages to your topic if you don't have one already:

{% code overflow="wrap" %}

```bash
warpstream kcmd -bootstrap-host $BOOTSTRAP_HOST -tls -username $SASL_USERNAME -password $SASL_PASSWORD -type produce -topic kestra_demo --records '{"action": "click", "user_id": "user_0", "page_id": "home"},,{"action": "hover", "user_id": "user_0", "page_id": "home"},,{"action": "scroll", "user_id": "user_0", "page_id": "home"},,{"action": "click", "user_id": "user_1", "page_id": "home"},,{"action": "click", "user_id": "user_1", "page_id": "home"},,{"action": "click", "user_id": "user_2", "page_id": "home"}'
```

{% endcode %}

Note that the WarpStream CLI uses double commas (`,,)` as a delimiter between JSON records.

## Step 3: Configure Kestra

In the Kestra interface, you will start under **Flows** and select **Create**.

<figure><img src="/files/kQNJQ0VSunQP0U1GxnwN" alt=""><figcaption></figcaption></figure>

This will present you with the Kestra editor, which contains our example YAML.

<figure><img src="/files/I2W9XUavdkRAePNXbi5C" alt=""><figcaption></figcaption></figure>

This example will use the Kestra "Real Time Trigger" feature to execute an action whenever a record arrives in the stream. Where you see the `id:` and `type:` under `triggers:` is where we specify and name the feature. Fill in all the fields from WarpStream that are denoted with `<YOUR_...>` and the resulting flow will then read from your WarpStream producer, and for every record that arrives, it will trigger the action under `tasks:` which, in this case, will write the message to a log file that is contained in `trigger.value`.

```yaml
id: myflow
namespace: company.myteam

tasks:
- id: LOG
  type: io.kestra.plugin.core.LOG.LOG
  message: "{{ trigger.value }}"

triggers:
- id: realtime_trigger
  type: io.kestra.plugin.kafka.RealtimeTrigger
  topic: <YOUR_TOPIC>
  properties:
    bootstrap.servers: <YOUR_BOOTSTRAP_BROKER>
    security.protocol: SASL_SSL
    sasl.mechanism: PLAIN
    sasl.jaas.config: org.apache.kafka.common.security.plain.PlainLoginModule required username=<YOUR_SASL_USERNAME> password=<YOUR_SASL_PASSWORD>;
  serdeProperties:
    schema.registry.url: http://localhost:8085
    keyDeserializer: STRING
    valueDeserializer: STRING
  groupId: <YOUR_TOPIC>
```

## Step 4: Conditional logic

The Kestra trigger can be enhanced with conditional logic. For example, your WarpStream topic is a series of IoT status messages; you could look for a string with a value of "error" and log it appropriately. This is illustrated in the following example that would replace the `tasks:` section from the previous example:

```yaml
tasks:
- id: if_condition
  type: io.kestra.plugin.core.flow.If
  condition: "{{ trigger.value == 'error' }}"
  then:
    - id: log
      type: io.kestra.plugin.core.log.Log
      message: "Error message: {{ execution.id }}"
  else:
    - id: log_else
      type: io.kestra.plugin.core.log.Log
      message: "Nothing to worry about."
```

## Next Steps

Congratulations! You've set up a stream processing pipeline between WarpStream and Kestra and triggered an action based on both activity and conditional logic processing.

Next, check out the WarpStream docs for configuring the [WarpStream Agent](/warpstream/agent-setup/deploy.md), or review the [Kestra docs](https://kestra.io/docs/) to learn more about what is possible with WarpStream and Kestra!


---

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