Webinar - ActiveState Workshop:Building Secure and Reproducible Open Source Runtimes

#1558660: Webinar - ActiveState Workshop:Building Secure and Reproducible Open Source Runtimes

Description:	Developers love working with open source, but typically spend too much time in "dependency hell" wrangling packages to work together within their projects. This pain boils over onto DevOps and DevSecOps teams who must ensure security and reproducibility of environments across the SDLC without sacrificing speed. In this follow-along workshop, we'll use the ActiveState Platform to set up an example of Python machine learning (ML) runtime with security baked in and consistently applied across operating systems to show how your dev team can get up and running in minutes - pain-free. Learn how to: Automatically build a Python runtime with all required packages built securely from source - right down to C libraries Run the Python code immediately for a ML use case using TensorFlow and Flask to identify dogs and/or cats (cute!) Deploy that runtime across your team via a command line Ensure and validate security end-to-end with CVE remediation, SBOMs and attestations at your fingertips Workshop Prerequisites: Ensure you have Docker installed on your machine and running. Pull the docker image to your machine with docker pull ecole5/tensorflow-ml-demo:latest Make an ActiveState account (www.platform.activestate.com)
More info:	https://webinars.securityboulevard.com/activestate-workshop-building-secure-and-reproducible-open-source-runtimes?utm_campaign=2023.06.08_ActiveState_Webinar_SB&utm_source=hs_email&utm_medium=email&utm_content=261188434&_hsenc=p2ANqtz-9wjjb7DsrrTENm-cXwRSOpkQewNoQydShvpupCkYl8_p1Nmu5kaHf53XBtlXn0o7ocqYi5CYCu8H_EqPCkw6bp9LY7Ig

Description:

Developers love working with open source, but typically spend too much time in "dependency hell" wrangling packages to work together within their projects. This pain boils over onto DevOps and DevSecOps teams who must ensure security and reproducibility of environments across the SDLC without sacrificing speed.

In this follow-along workshop, we'll use the ActiveState Platform to set up an example of Python machine learning (ML) runtime with security baked in and consistently applied across operating systems to show how your dev team can get up and running in minutes - pain-free.
Learn how to:
Automatically build a Python runtime with all required packages built securely from source - right down to C libraries
Run the Python code immediately for a ML use case using TensorFlow and Flask to identify dogs and/or cats (cute!)
Deploy that runtime across your team via a command line
Ensure and validate security end-to-end with CVE remediation, SBOMs and attestations at your fingertips
Workshop Prerequisites:
Ensure you have Docker installed on your machine and running.

Pull the docker image to your machine with docker pull ecole5/tensorflow-ml-demo:latest

Make an ActiveState account (www.platform.activestate.com)

More info:

https://webinars.securityboulevard.com/activestate-workshop-building-secure-and-reproducible-open-source-runtimes?utm_campaign=2023.06.08_ActiveState_Webinar_SB&utm_source=hs_email&utm_medium=email&utm_content=261188434&_hsenc=p2ANqtz-9wjjb7DsrrTENm-cXwRSOpkQewNoQydShvpupCkYl8_p1Nmu5kaHf53XBtlXn0o7ocqYi5CYCu8H_EqPCkw6bp9LY7Ig

Date added	June 6, 2023, 11:04 a.m.
Source	Securityboulevard
Subjects	DevOps / DevSecOps Generic - DevOps and CI/CD Generic - Open Source Applications Necro Botnet / Necro Python bot PodCasts / Webcast / Webinar / eSummit / Virtual Event etc. Python - Various
Venue	June 8, 2023, midnight - June 8, 2023, midnight