Hi everyone,
We’re in the process of deploying the Labelbox SDK on Red Hat Enterprise Linux (RHEL) servers as part of a secure, enterprise-level machine learning pipeline. Since the environment is based on a Red Hat server and has strict security and compliance requirements, I’m looking for best practices and real-world advice from anyone who’s done something similar.
A few areas I’m particularly interested in:
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Secure installation: Best ways to install the SDK and manage dependencies in a locked-down or restricted network environment (e.g. no direct internet access).
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Authentication: Securely managing API keys or tokens for Labelbox, especially if using environment variables or vault systems.
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Runtime environment: Any recommendations for virtual environments, containerization (e.g. Podman or Docker on RHEL), or system hardening.
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Updates and maintenance: How to handle SDK version updates and patching without breaking integrations or compromising security.
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Logging and monitoring: Tools or practices to track SDK interactions in enterprise-grade environments.
If you’ve deployed Labelbox SDK in a secure Red Hat setup (or something similar), I’d really appreciate any insights, tips, or “gotchas” to look out for.
Thanks in advance for sharing your experience!