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Pachctl

As explained in Designing Deep Learning Systems: A guide for software engineers

pachctl is the command-line client for connecting to and managing a Pachyderm workspace.

pachctl is Pachyderm’s command-line client for inspecting versioned datasets and their processing history in a Pachyderm workspace. It supports operational checks needed for reproducibility and troubleshooting. section 2.3.2

Tracing an image-processing result

An `edges` pipeline watches the `images` dataset and runs an OpenCV container when new images arrive. Afterward, `pachctl` can identify the exact `images` commit and pipeline code associated with an `edges` commit, supporting rollback and reproducible troubleshooting.

How Designing Deep Learning Systems: A guide for software engineers covers it

How deep it goes
Demonstrates commit listing and inspection, including timestamps and provenance, but does not detail installation or configuration.
Examples
Uses an image edge-detection pipeline with `images` and `edges` datasets, including concrete list and inspect commands.
What it assumes
Assumes a Pachyderm workspace with datasets, commits, and pipelines; does not explain workspace setup from zero.
What you can do after
Operate Pachyderm via pachctl to inspect dataset history and trace generated data to its source commit and processing code.
How it connects
Links Pachyderm pipelines, versioned datasets, commits, data provenance, and cloud object storage.

This explainer was generated by Manning's knowledge graph from the text of Designing Deep Learning Systems: A guide for software engineers. The section links point to the parts of the book it draws on.