Debug-action-cache | ~upd~
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.
An action cache operates as a key-value store optimized for ephemeral build environments. The primary goal is to preserve expensive dependencies, compiled binaries, or workspace states between distinct execution runs.
Cache not found for key: ubuntu-latest-npm-d41d8cd98f00b204e9800998ecf8427e
Add these secrets in your repository or organization: debug-action-cache
In the race for sub-minute build times, a transparent and debuggable cache is your most powerful asset.
Use cache debugging when you encounter:
: It allows you to see if a cache miss was caused by a change in the toolchain, a timestamp in a source file, or an absolute path leak. How to use it in Bazel You might find that previous jobs did not
In the modern world of DevOps and Continuous Integration (CI), speed is a currency. Every minute saved in a build pipeline translates directly to faster feedback loops, reduced compute costs, and higher developer productivity. At the heart of this speed lies caching. However, when caching goes wrong, it creates a nightmare scenario: failed builds, stale dependencies, or the infamous "works on my machine" syndrome amplified across your CI/CD pipeline.
| Problem | Likely cause | Debug check | |--------|--------------|--------------| | Cache miss every run | Key includes github.sha or github.run_id | Log the key — is it changing? | | Cache saved every run | Key too specific + no restore-keys | Add a broader restore-keys | | Cache too large (>10 GB) | Unnecessary files | List cached dir content in debug mode | | Cache not restored on pull_request | Different branch base | Use restore-keys without branch hash |
debug-action-cache-<date> Repository: <owner/repo> Workflow: <workflow-name>.yml Runner: [ubuntu-latest | windows-latest | macos-latest | self-hosted] Every minute saved in a build pipeline translates
: By caching test results, developers can quickly identify which tests have passed or failed, reducing the time needed to diagnose and fix issues.
Some code generators include the current date/time in the header of the generated file. This invalidates the cache every single minute.
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.
An action cache operates as a key-value store optimized for ephemeral build environments. The primary goal is to preserve expensive dependencies, compiled binaries, or workspace states between distinct execution runs.
Cache not found for key: ubuntu-latest-npm-d41d8cd98f00b204e9800998ecf8427e
Add these secrets in your repository or organization:
In the race for sub-minute build times, a transparent and debuggable cache is your most powerful asset.
Use cache debugging when you encounter:
: It allows you to see if a cache miss was caused by a change in the toolchain, a timestamp in a source file, or an absolute path leak. How to use it in Bazel
In the modern world of DevOps and Continuous Integration (CI), speed is a currency. Every minute saved in a build pipeline translates directly to faster feedback loops, reduced compute costs, and higher developer productivity. At the heart of this speed lies caching. However, when caching goes wrong, it creates a nightmare scenario: failed builds, stale dependencies, or the infamous "works on my machine" syndrome amplified across your CI/CD pipeline.
| Problem | Likely cause | Debug check | |--------|--------------|--------------| | Cache miss every run | Key includes github.sha or github.run_id | Log the key — is it changing? | | Cache saved every run | Key too specific + no restore-keys | Add a broader restore-keys | | Cache too large (>10 GB) | Unnecessary files | List cached dir content in debug mode | | Cache not restored on pull_request | Different branch base | Use restore-keys without branch hash |
debug-action-cache-<date> Repository: <owner/repo> Workflow: <workflow-name>.yml Runner: [ubuntu-latest | windows-latest | macos-latest | self-hosted]
: By caching test results, developers can quickly identify which tests have passed or failed, reducing the time needed to diagnose and fix issues.
Some code generators include the current date/time in the header of the generated file. This invalidates the cache every single minute.