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tosin2013 committed Mar 16, 2024
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5 changes: 5 additions & 0 deletions docs/_deployment/developer_deployment.markdown
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Expand Up @@ -82,4 +82,9 @@ export GIT_REPO="https://gitea-with-admin-gitea.apps.edge-detection.sandbox105.o
## Ensure the ArgoCD application is in sync
![20240316104519](https://i.imgur.com/djJtn2g.png)

## WorkShop Steps
* [Check Kafka Messages](/workshop/check-kafka-messages)
* [Check Prometheus Charts](/workshop/check-promethous-charts)
* [Check Grafana Dashboards](/workshop/check-grafana-dashboards)

[Back to Homepage](/)
5 changes: 4 additions & 1 deletion docs/_workshop/check-kafka-messages.markdown
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Expand Up @@ -72,4 +72,7 @@ Attempt to create an instance of either `QueenMary` or `Titanic` to push data to

---

By following this tutorial, you should be able to view Kafka messages, integrate with AWS S3, and push data to an S3 bucket using the Data Lake project on OpenShift. Happy exploring!
By following this tutorial, you should be able to view Kafka messages, integrate with AWS S3, and push data to an S3 bucket using the Data Lake project on OpenShift. Happy exploring!

* [Check Prometheus Charts](/workshop/check-promethous-charts)
*
4 changes: 3 additions & 1 deletion docs/_workshop/check-promethous-charts.markdown
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Expand Up @@ -60,4 +60,6 @@ Here are some of the specific metrics you can explore:

**Note**: Ensure you have the necessary permissions to access and view these metrics in your OpenShift environment.

By following this tutorial, you should be able to successfully navigate and check the Prometheus charts for the `edge-anomaly-detection` on OpenShift. Happy monitoring!
By following this tutorial, you should be able to successfully navigate and check the Prometheus charts for the `edge-anomaly-detection` on OpenShift. Happy monitoring!

* [Check Grafana Dashboards](/workshop/check-grafana-dashboards)
12 changes: 9 additions & 3 deletions docs/index.markdown
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Expand Up @@ -5,6 +5,12 @@ title: edge-anomaly-detection

This repository contains the code for a workshop on how to use different tools to monitor and manage an edge-anomaly-detection application. The workshop covers the following topics:

* Checking the Prometheus charts for the application
* Viewing the Kafka messages under the data lake project
* Configuring Camel K Ship integration


# Deployment instructions
[Developer Deployment Instructions](deployment/developer_deployment/)

# WorkShop
* [Viewing the Kafka messages under the data lake project](workshop/check-kafka-messages/)
* [Checking the Prometheus charts for the application](workshop/check-promethous-charts/)
* [Configuring Camel K Ship integration](workshop/configure-camel-k/)

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