If you are struggling with cache performance, run through this list:
"Cache flapping"—where the cache is constantly invalidated—isn't just annoying; it's expensive. In a large organization, fixing a 10% cache miss rate can save thousands of dollars in compute credits and hundreds of engineering hours per month. Conclusion debug-action-cache
In systems like Bazel, you can use flags like --execution_log_json_file . This allows you to see the exact metadata sent to the cache. You can compare logs from two different builds to see which file or environment variable caused the discrepancy. 2. Identifying "Dirty" Environment Variables If you are struggling with cache performance, run
You typically reach for debugging flags when you encounter two specific scenarios: This allows you to see the exact metadata sent to the cache
A common culprit for cache misses is the environment. If your build script pulls in a timestamp, a random seed, or a local file path (e.g., /Users/john/project vs /Users/jane/project ), the cache will treat them as different actions. 3. Verbose Logging
If you're compiling binaries, ensure you strip timestamps from the output, as these will change the file hash even if the code is identical. The Cost of Ignoring Cache Issues