These PxL scripts demonstrate how to use telemetry data automatically provided by Pixie to estimate the cost of your Kubernetes cluster.

• cpu_cost.pxl: Estimates yearly CPU cost per Service based on last hour of usage.

• mem_cost.pxl: Estimates yearly memory cost per Service based on last hour of usage.

• network_cost.pxl: Estimates yearly network cost per Service based on last hour of usage.

• cost_per_request.pxl: Estimates yearly number of requests per Service based on last hour of usage.

1. Install Pixie on your Kubernetes cluster. If you do not have a cluster, you can create a minikube cluster and install Pixie using one of our install guides.

2. Adjust the placeholder cost values at the top each script depending on your specific cloud provider's pricing model.

3. Run the scripts using Pixie's Live CLI or UI.

Using the Live CLI:

• Copy the scripts to a local directory.
• Run px run -f <script.pxl>
• Switch between the output tables by using the number keys (or a mouse click) to select the table tabs listed at the bottom left of the terminal.
• Sort table columns by clicking the column title.

Using the Live UI:

• Select the Scratch Pad script from the script drop-down menu.
• Open the editor using ctrl+e (Windows, Linux) or cmd+e(Mac).
• Paste the contents of the script into the editor and close the editor using ctrl+e (Windows, Linux) or cmd+e(Mac).
• Press the RUN button (top right) to execute the script.
• Sort table columns by clicking the column title.

Please reach out on our Pixie Community Slack or file a GitHub issue.