A web-based platform for deploying and managing Denodo Lakehouse Accelerator clusters on Kubernetes through an intuitive user interface, eliminating the need for command-line expertise
This tool lets you:
- Deploy the Denodo Lakehose Accelerator cluster into Kubernetes with a few clicks
- Monitor the deployment progress in real time
- View live logs from any pod in your MPP cluster
- Important Connectivity checks from Presto
- Edit your existing
values.yamlfile visually and deploy
Before running this tool, make sure the following are installed on your machine:
| What | Why you need it |
|---|---|
| Python 3.10+ | Runs the tool |
| kubectl | Talks to your Kubernetes cluster |
| helm | Deploys the Denodo MPP chart |
| Access to a Kubernetes cluster | Where Denodo MPP will be deployed |
| Denodo MPP Helm chart folder | The chart files to deploy from |
cd <PROJECT_FILE_HOME>
pip install -r requirements.txtcd <PROJECT_FILE_HOME>
python app.pyThen open your browser and go to http://localhost:7090
You can change the port by modifying the APP_PORT_NUMBER variable in "app.py" file
The main page. This is where you set up and launch a deployment.
- Connect to your Kubernetes cluster using the cluster selector at the top
- Fill in your release name, chart location, namespace, and MPP engine settings
- Click Install to deploy, or Uninstall to remove an existing release
- A progress bar at the bottom shows what is happening in real time
Watch your deployment unfold.
- Shows a live progress bar from 0% to 100%
- Lists every pod being created and its current status
- Displays log messages as they come in
- Shows a clear success ✅ or failure ❌ message when done
View live logs from any pod in your Lakehouse Accelerator cluster.
- Pick any pod from the list on the left
- Logs stream live in the main panel
- Filter by log level: INFO, WARN, ERROR, DEBUG
- Search for any keyword within the logs
- Can also download the logs for troubleshooting
All connectivity tests from the Presto server.
- Select your deployed release
- Enter your storage path
- Click Run Validation
- See a clear pass ✓ or fail ✗ result with details
- This will helpful to ensure the Lakehouse accelerator is able to connect to object storage, hive metastore and Denodo Platform
Manage pods and Deployment History
- Able to see the pod
status,Logs,Delete - Track the Deployment history. History will be saved locally in
deploy_history.json
Developer mode. Upload values.yaml > Validate > Make changes if any > Deploy
- If you have already the
values.yaml? No need to deploy via Deployment page - Upload any
values.yamlfile - Edit settings across organised tabs (Image, Workers, Storage, Catalogs, etc.)
- Download the updated file or deploy directly from this page
For detailed information on installation, configuration, and usage, refer to the full user manual:
The cluster selector shows "Not Connected"
→ Check that your ~/.kube/config file exists and that you can run kubectl get nodes in your terminal.
Test connectivity failed with file presto_connectity
→ Make sure to execute the python program from the HOME folder i.e, mpp.
→ Change the EOL conversion according to Unix. For that, open the script templates/presto_validation.sh in NotePad++ , Edit > EOL Conversion > Unix and save the file.
Install fails straight away
→ Make sure the chart path you entered in Deployment tab is correct and the folder exists on this machine.
Progress bar is stuck → The deployment is still running. Large clusters can take 10–15 minutes. Check the Deployment Progress page for more detail.
No logs appearing in the Pod Logs page → Make sure a cluster is connected first. Go back to the Deployment Console and connect your cluster.
Connectivity test returns an error → Make sure the Presto coordinator pod is in Running state before testing. Check the Pod Logs page for any errors.
- Star the repo
- Join the Denodo Community and ask questions on the Q&A
- Download Denodo Express
- Contributions are, of course, most welcome!
- Track issues
This project is distributed under Apache License, Version 2.0. See LICENSE
This project is supported by Denodo Community. See SUPPORT
- Developed by : Ramanathan Nagarajan , Narendiran Kumar
- Managed by : Balaji Seetharaman