Pcddebugger Utility
Learn about PCDdebugger - a command-line Python script designed to simplify and accelerate PCD troubleshooting
PCDdebugger
PCDdebugger is a command-line Python script designed to simplify and accelerate the troubleshooting process for PCD Virtualization environments. It automates the collection of diagnostic information for various services and resources, consolidating the output into a structured directory for easy analysis and sharing.
Features
Comprehensive Data Collection: Gathers detailed information for key PCD resources including VMs (Nova), images (Glance), networks (Neutron), ports, volumes (Cinder), stacks (Heat), and users (Keystone).
Kubernetes Integration: Performs a complete MySQL dump from a specified Kubernetes namespace, essential for debugging control plane issues.
Dependency Traversal: Automatically discovers and collects data for resources related to a specified VM, such as its ports, volumes, network, subnets, image, and flavor.
Organized Output: Saves all collected data into a timestamped directory, with subfolders for each service, making the information easy to navigate.
Archive Option: Includes a --zip flag to automatically create a compressed archive of the collected data, ready for sharing.
Prerequisites
Before running the script, ensure the following are installed and configured on your machine:
pcd client: Authenticated and configured to connect to your PCD cloud. (Ensure your rc file is sourced).
kubectl: Authenticated and configured to connect to your Kubernetes cluster. (This is required only in case of mysql dump)
Installation
Mac-OS
Download the binary:
Rename the binary file (Optional):
Make the script executable:
To run PCDdebugger from any directory, move it to a location in your system's PATH (Optional):
Mac-OS will ask to allow the permission to run the PCDDebugger binary. Allow it from the System Settings → Privacy and Security.
Windows
Download the binary:
Place it in a folder (example): Move the downloaded
PCDdebugger.exefile to a memorable location, for example, C:\Tools.(Optional) Add to PATH so you can run it from any command prompt:
Search for "Edit the system environment variables" in the Start Menu.
Click the "Environment Variables..." button.
Under "System variables", find and select the Path variable, then click "Edit...".
Click "New" and add the path to the folder (e.g., C:\Tools).
Click OK on all windows to save.
Run
PCDdebugger.exefrom PowerShell or Command Prompt.
Usage
The basic command structure is:
The "--insecure" parameter is mandatory if SSL is not configured; otherwise it will throw an "SSL Certificate" error.
Examples
Collect all information for a specific VM (gathers the VM, its ports, volumes, network, subnets, image, and flavor):
Collect details for a specific Glance image:
Collect details for a Neutron network and its subnets:
Perform a MySQL dump from a Kubernetes cluster (requires --namespace):
The "--mysql-dump" parameter can only be run on the Self Hosted PCD Virtualization.
Combine multiple flags and create a zip archive:
Specify a custom output directory and create a zip archive:
Example:
Command-Line Flags:
--vm <ID_OR_NAME>: Collect details for a specific Nova VM and its related resources.--image <ID_OR_NAME>: Collect details for a specific Glance image.--network <ID_OR_NAME>: Collect details for a specific Neutron network and its subnets.--port <ID_OR_NAME>: Collect details for a specific Neutron port.--volume <ID_OR_NAME>: Collect details for a specific Cinder volume.--stack <ID_OR_NAME>: Collect details for a specific Heat stack.--user <ID_OR_NAME>: Collect details for a specific Keystone user.--mysql-dump: Perform a MySQL dump of all databases. Requires--namespace.--namespace <NAMESPACE>: The Kubernetes namespace to use for the MySQL dump.--output <DIRECTORY>: Specify a custom directory for the output files.--zip: Compress the final output directory into a.zipfile.--help: Show the help message and exit.
All output is saved to a directory named PCDdebugger- by default.
Additional Information
For more details, visit the GitHub page: https://github.com/platform9/PCDDebugger
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