You might find that previous jobs did not clean up, and the restore step is simply finding a local folder, bypassing the remote cache entirely.

However, the fundamentals remain: You cannot optimize what you cannot measure. Until GitHub provides a full Cache UI with version history, manual debugging using ACTIONS_STEP_DEBUG remains the most powerful tool in your DevOps arsenal.

The most powerful debug-action-cache technique is to store a .checksum file inside the cache.

In the context of Continuous Integration (CI) with GitHub Actions, the term debug-action-cache usually refers to the process of troubleshooting the mechanism. Developers often encounter issues where caches are not saving, not restoring, or growing too large.

Use cache debugging when you encounter:

#!/bin/bash # Debug Action Cache Script set -e

Debug-action-cache Site

You might find that previous jobs did not clean up, and the restore step is simply finding a local folder, bypassing the remote cache entirely.

However, the fundamentals remain: You cannot optimize what you cannot measure. Until GitHub provides a full Cache UI with version history, manual debugging using ACTIONS_STEP_DEBUG remains the most powerful tool in your DevOps arsenal. debug-action-cache

The most powerful debug-action-cache technique is to store a .checksum file inside the cache. You might find that previous jobs did not

In the context of Continuous Integration (CI) with GitHub Actions, the term debug-action-cache usually refers to the process of troubleshooting the mechanism. Developers often encounter issues where caches are not saving, not restoring, or growing too large. The most powerful debug-action-cache technique is to store a

Use cache debugging when you encounter:

#!/bin/bash # Debug Action Cache Script set -e