Can Build and Runtime Logs be Correlated in MATLAB Deployment Diagnostics?
0 reputation · 15 Jul 2024, 07:44 UTC
0 reputation · 15 Jul 2024, 07:44 UTC
When a MATLAB application fails after deployment, the build log produced by compiler.build and the runtime log emitted by the MATLAB Runtime (MCR) are often the only sources of information. The goal is to establish a reliable correlation between these two log streams so that a single failure can be traced back to its build‑time context.
Current build logs lack correlation identifiers that persist into runtime. The MCR writes a one‑line version banner to stderr but does not emit a JSON event that can be parsed by log aggregation tools. In Docker deployments, the entrypoint script redirects stdout and stderr but discards environment information such as LD_LIBRARY_PATH or license host IDs, leaving environment‑dependent failures invisible.
1) Does MATLAB provide a mechanism to embed a unique deployment identifier in both the build log and the runtime logs?
2) Can the MCR be configured to emit a machine‑parseable version event without requiring a reinstall with a different -loglevel?
3) Is there a supported way to preserve environment variables in Docker worker logs for license‑checkout or path‑resolution failures?
MATLAB does not provide a built-in, automated mechanism to embed a unique deployment identifier that propagates from the compiler.build process directly into the MATLAB Runtime (MCR) logs. Correlation between these two streams must be implemented manually by the developer.
To establish a trace between a specific build and its runtime failures, you must inject a unique identifier (such as a UUID or build timestamp) at the time of compilation and ensure the application emits this ID upon startup.
stdout or stderr as the first action in the main entry function.compiler.build log.The MCR does not natively emit machine-parseable JSON events for versioning. It primarily outputs unstructured text to stderr. While you can adjust verbosity using the MCR_LOG_LEVEL environment variable to get more detail without a reinstall, this output remains text-based. To achieve machine-parseable versioning, you must wrap the application execution in a script that captures the MCR banner and converts it to JSON before forwarding it to your logging stack.
The MCR does not automatically log environment variables during a crash. If your entrypoint script redirects stdout and stderr but fails to capture the environment, license-checkout or path-resolution failures will remain invisible. To preserve this data, modify your Docker entrypoint to dump critical variables to the log stream before executing the binary:
# Example entrypoint snippet
echo "LD_LIBRARY_PATH: $LD_LIBRARY_PATH" > /proc/1/fd/1
echo "LICENSE_HOST: $LICENSE_HOST" > /proc/1/fd/1
exec "./your_compiled_app" "$@"
These recommendations assume a standard Linux-based Docker deployment using a recent version of the MATLAB Compiler. To verify the setup, run your container with MCR_LOG_LEVEL=debug and confirm that your manually injected Build ID appears in the logs before any runtime errors occur.
Missing Detail: Are you using a standalone executable or a shared library (CTF)? If using a shared library, the correlation ID must be passed via the host application's API calls rather than command-line arguments.
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