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...mations/create-self-service-experiences/templates/_execute_action_locations.mdx
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@@ -22,7 +22,7 @@ This page will introduce the agent and guide you through the installation and co | |
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## Prerequisites | ||
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- Connection credentials to Kafka are required. To obtain them, contact us via the intercom bubble in the bottom-right corner, or via our [community Slack](https://www.getport.io/community). | ||
- Connection credentials to Kafka are required. To obtain them, contact us using Intercom/Slack/mail to [[email protected]](mailto:support@getport.io). | ||
- [Helm](https://helm.sh) must be installed in order to install the relevant chart. | ||
- In order to trigger a GitLab Pipeline, you need to have a [GitLab trigger token](https://docs.gitlab.com/ee/ci/triggers/). | ||
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@@ -83,7 +83,7 @@ Once the agent is installed, we can finish setting up the backend in Port. | |
- **Default ref** - the branch/tag name we want the action/automation to use. | ||
:::tip Create action/automation via API | ||
If you wish to create a self-service action or automation via [Port's API](https://docs.getport.io/api-reference/create-an-action-automation), choose the `gitlab` backend type under the `invocationMethod` object. | ||
If you wish to create a self-service action or automation via [Port's API](https://docs.port.io/api-reference/create-an-action-automation), choose the `gitlab` backend type under the `invocationMethod` object. | ||
::: | ||
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### Configure the payload | ||
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@@ -24,7 +24,7 @@ The steps shown in the image above are as follows: | |
## Further steps | ||
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- See the [Triggering example](#Triggering-example) for Circle CI. | ||
- Contact us through Intercom to set up a Kafka topic for your organization. | ||
- Contact us using Intercom/Slack/mail to [[email protected]](mailto:[email protected]) to set up a Kafka topic for your organization. | ||
- [Install the Port execution agent to trigger the Circle CI pipeline](#Installation). | ||
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## Triggering example | ||
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@@ -9,7 +9,7 @@ In this guide, we will show how to deploy a new `AWS Lambda function`, that will | |
## Prerequisites | ||
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:::note | ||
To follow this example, please contact us via Intercom to receive a dedicated Kafka topic. | ||
To follow this example, please contact us using Intercom/Slack/mail to [[email protected]](mailto:[email protected]) to receive a dedicated Kafka topic. | ||
::: | ||
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- AWS CLI installed and configured to your desired AWS account; | ||
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@@ -13,7 +13,7 @@ Our Port agent is open source - see it [**here**](https://github.com/port-labs/p | |
::: | ||
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:::note | ||
To use the execution agent, please contact us via Intercom to receive a dedicated Kafka topic. | ||
To use the execution agent, please contact us using Intercom/Slack/mail to [[email protected]](mailto:[email protected]) to receive a dedicated Kafka topic. | ||
::: | ||
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The data flow when using the Port execution agent is as follows: | ||
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@@ -30,7 +30,7 @@ token** or **team token**. | |
## Further steps | ||
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- See the [Triggering example](#Triggering-example) for Terraform Cloud. | ||
- Contact us through Intercom to set up a Kafka topic for your organization. | ||
- Contact us using Intercom/Slack/mail to [[email protected]](mailto:[email protected]) to set up a Kafka topic for your organization. | ||
- [Install the Port execution agent to trigger the Terraform Cloud Run](#Installation). | ||
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## Triggering example | ||
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