The Cloudcast
The Cloudcast (@cloudcastpod) is the industry's #1 Cloud Computing podcast, and the place where Cloud meets AI. Co-hosts Aaron Delp (@aarondelp) & Brian Gracely (@bgracely) speak with technology and business leaders that are shaping the future of business. Topics will include Cloud Computing | AI | AGI | ChatGPT | Open Source | AWS | Azure | GCP | Platform Engineering | DevOps | Big Data | ML | Security | Kubernetes | AppDev | SaaS | PaaS .
The Cloudcast
Migrating from Infrastructure as Code
Adam Jacob (@adamhjk, CEO/Founder @thesysteminit) talks about the evolution and intersection of DevOps 2.0, Infrastructure as Code (IaC), and what’s next
SHOW: 907
SHOW TRANSCRIPT: The Cloudcast #907 Transcript
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SHOW NOTES:
Topic 1 - Welcome back to the show. We last spoke mid-2023. For those that missed that show, tell us about your background…
Topic 2 - When we last spoke, we talked about DevOps 2.0. Give everyone an update on the state of the industry. DevOps 2.0, IaC, etc. Where are we at in that journey? For instance, what’s broken with IaC in the existing approaches and why a new approach?
Topic 3 - One thing I’ve noticed in research for this topic is the move to visual and UI to conceptualize the environment and the corresponding actions. APIs and command lines will always have a place but what are your thoughts on this trend? I personally fall asleep every time someone gives a talk an industry conference and they pull up the command line for their demo. But, I’m also a visual learner.
Topic 4 - When I’ve thought about both DevOps and IaC in the past, my mind immediately jumps to both complexity and dependencies. What do developers today have to consider and have we made any advances here?
Topic 5 - Are there new metrics for success? With DevOps is was number of code commits, with IaC it was number of seamless deployments and actions. What do development teams look for today as the consider new platforms and tools?
Topic 6 - I can see this being an area that could be impacted by AI in a few ways: 1. the summarization of large amounts of data 2. Digital Twins and simulations and 3. Agentic AI performing tasks based on conditions. What are your thoughts on AI here?
Topic 7 - If anyone out there is interested, what’s the best way to get started?
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