ActiveState Workshop: Building Secure and Reproducible Open Source Runtimes
Learn how to simplify dependency management and enhance security for your Python machine learning projects in this on-demand workshop. Discover how the ActiveState Platform enables pain-free setup of a secure Python ML runtime, ensuring consistency across operating systems and saving you valuable time.
Key Highlights:
Build a Python runtime with secure, source-built packages, including C libraries
Deploy the Python code instantly for a machine learning task using TensorFlow and Flask (featuring adorable dogs and cats!)
Share the runtime with your team through a command line interface
Achieve end-to-end security with CVE remediation, SBOMs, and attestations
Prerequisites: Docker installed and running, and the ecole5/tensorflow-ml-demo:latest Docker image pulled to your machine
Create an ActiveState account at https://platform.activestate.com/crea...
Takeaways:
Empower Python developers to work with open source languages effortlessly, eliminating tedious dependency management
Strengthen your software supply chain by automatically building secure dependencies, including C libraries, from source
Ensure the security and integrity of open source components throughout your software development lifecycle (SDLC)