Time for SBOMS? What’s Ahead for 2024?

After a brief hiatus, thecloud2030 group is back and deep in tech, talking about things that we think are going to come on the tech front, sans AI.

In this episode, we take some time to go through Kubernetes, hardware, software, bill of materials, and some governance. This includes a smattering of predictions to get your year started off with a bang.

From there, we are going to be moving into our tech-ops series. Find more details about that in today’s outro!

Resources:
www.theregister.com/2023/12/27/bruc…erens_post_open
developersalliance.org/open-source-l…ty-is-coming/

Transcript: otter.ai/u/UQyqHKJ9oNd1SquAWW…?utm_source=copy_url
Image by DALLE: cartoon images of a robot reviewing a long bill of materials on a scroll of paper.

Cloud20302024SBOMCloudAutomationInfrastructureOSSOpen Source

Making SBOM A Reality

Software bills of materials are one of the most critical, modern software development practices that people should be doing but don’t. They have significant impacts in improving security, provenance, reproducibility, and license compliance.

The benefits of having a good software bill of materials in our technology industry are incredibly high, both as a producer and a consumer. And yet, this is one of those places where I feel like we have really fallen behind.

Transcript: otter.ai/u/J3VtBLiQMAuZgfMCOz…?utm_source=copy_url
Image: www.pexels.com/photo/photo-of-mo…culpture-3810915/

Chat GPT In IT

We discussed the implications of chat GPT for it and the industry.

In today’s episode, we spend a lot of time figuring out how data provenance governance, bias, and ownership will impact chat GPT in IT and technology and cloud contexts. This discussion really looks into how chat GPT can be used in disruptive ways, but also in protective ways as what we describe as guardrails for how these systems are going to get built.

We come to some very interesting conclusions.

Transcript: otter.ai/u/aETNeRoDnspFnmPT3KcjBuHQTzE
Image: www.pexels.com/photo/surprised-y…le-phone-3771127/

Rob’s Hot Take:

In the Cloud 2030 podcast’s January fifth episode, CEO Rob Hirschfeld explores the complexities of data provenance in ChatGPT, questioning ownership and control of the generated content. He emphasizes the need to understand the sources of data, pondering whether the output belongs to users, the algorithm, or no one, highlighting the challenges of systems that belong to nobody. Hirschfeld also connects this issue with Software Bill of Materials, emphasizing the importance of knowing the components of systems for accuracy and confidence. He encourages listeners to delve into the full episode for valuable insights and invites them to engage further in discussions at 2030.Cloud.