From 8eb74f7ed379bf5b0f450edfdd55f54d6481ae2f Mon Sep 17 00:00:00 2001 From: Philipp Wambach Date: Tue, 6 Feb 2024 15:36:29 +0100 Subject: [PATCH] feat: update readme --- pipeline/README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/pipeline/README.md b/pipeline/README.md index e47019da5..1f6761647 100644 --- a/pipeline/README.md +++ b/pipeline/README.md @@ -42,4 +42,6 @@ Now you can start a DAG by selecting a dataset variable under the `DAGs` menu an Some datasets have very large files and need lots of processing power and RAM. If your local machine or internet connection is not capable of handling a dataset you can process it on a Compute Engine in the Google Cloud. Therefore just start up a VM from the prepared [snapshot](https://console.cloud.google.com/compute/snapshotsDetail/projects/esa-climate-from-space/global/snapshots/airflow-2024-01?project=esa-climate-from-space). -Once started you can reach the UI of the VM at `http://{EXTERNAL_IP}:8081`. Please note that the machine is not secure and should only be running it while processing the data. You can safely delete the machine after the final image tiles have been uploaded. If you SSH into the machine you can find the checked out git repo at `/opt/esa/`. To update the DAG files pull from origin and the UI will update a few seconds later. +Once started you can reach the UI of the VM at `http://{EXTERNAL_IP}:8081`. To log into the UI use the username and password from the docker-compose file.. + +Please note that the machine is not secure and should only be running it while processing the data. You can safely delete the machine after the final image tiles have been uploaded. If you SSH into the machine you can find the checked out git repo at `/opt/esa/`. To update the DAG files pull from origin and the UI will update a few seconds later.