__    _____.__          
                               _____/  |__/ ____\  | ______  
                              / ___\   __\   __\|  | \____ \ 
                             / /_/  >  |  |  |  |  |_|  |_> >
                             \___  /|__|  |__|  |____/   __/ 
                            /_____/                  |__|    

What it is

gtfp is a tool for debugging pods and cloudevents.

Capabilities:

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• Logging : Stream the logs from pods in the same namespace as the gtflp deployment. Allowing you to monitor pod logs in a single window.

• Monitor and Inject Cloudevents : Inject &| view events that are sent directly to the gtflp deployment, or configured triggers. note: One can populate the Injection values by clicking a recieved event, allowing users to re-play cloudevents.

• View active Pods

• View info about the active pods

• View Knative Service deployments

• View info about the KSVC deployments

• View Brokers

• View info about the Brokers

• View Triggers

• View info about the Triggers

• View Bridges

• View info about the Bridges

• View Deployed Sources

• View info about the Sources

• List resources by providing a custom Grop Version Resource

• View information about resources by providing a custom Grop Version Resource

Prerequisites

To deploy

• kubectl
• Kubernetes
• Knative

To develop

• go
• yarn
• make
• ko
• docker or gcloud

How to use it

Deploy from manifest

1. Download the release.yaml from the most current releases.

2. Update line 74 of file release.yaml with the correct namespace.

3. Apply the manifest:

    kubectl -n <namespace> apply -f release.yaml
   

4. After applying the manifest, retreive the url with the following command:

    kubectl -n <namespace> get ksvc
   

5. It should return something similar to the following:

    NAME         URL                                          LATESTCREATED      LATESTREADY        READY   REASON
    gtflp        https://gtflp.demo.dev.triggermesh.io        gtflp-00002        gtflp-00002        True    
   

6. Open the url in your browser.

Note: The image located at gcr.io/fit-stream-305821/gtflp is kept up to date with this repo via Github Actions, on each merge with master. If you want to deploy an image that gets regular updates. Use this one.

Deploy from Triggermesh

1. Login to triggermesh.

2. Navigate to the Bridges page.

3. Select "New Bridge" in the top right corner, next to "Refresh".

4. Select "Create a New Bridge".

5. Select "Target".

6. Select the Services item.

7. Select gtflp from the "Image Catalog" dropdown.

8. Save.

9. Select "Submit Bridge" in the top right corner, next to "Refresh".

10. Navigate to the Services page.

11. Select gtflp (or whatever you named the deployment).

12. On this page in the "Routes" card you can note the deployment URL listed as "Domain".

13. Navigate to this URL.

14. Enjoy a quality deubbing experience.

Note If you leave the deployment name as gtflp then the logs will be hidden from the UI. If you want to show logs from the gtflp pod, then chagne the name of the deployment to something else.

Development

Frontend

cd frontend
yarn install
yarn start

To build the frontend and update the static files located in /cmd/gtflp/kodata.

make update-static

Backend

export CLUSTER_NAME=<cluster-name>
KO_DATA_PATH=cmd/gtflp/kodata/ go run ./cmd/gtflp

Or

export CLUSTER_NAME=<cluster-name>
make debug

Releaseing

1. Create a release.yaml file in the root directory:

   make release

2. Update line 74 of file gtflp.yaml with the correct namespace before applying.

Note If you leave the deployment name as gtflp then the logs will be hidden from the ui. If you want to show logs from the gtflp pod, then chagne the name of the deployment to something else.

Contributing

Please open an issue if you have any questions or suggestions! Or feel free to fork and PR!

Join the Discord for help or to chat!