Sunil Mallya (@sunilmallya, Co-Founder & CTO @_FlipAI) talks about building AI models to help IT Operations teams simplify troubleshooting, incident response and pattern detection.

SHOW: 874

SHOW TRANSCRIPT: The Cloudcast #874 Transcript

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SHOW NOTES:

• Flip AI (homepage)
• Enterprise AI Agents: Bringing LLMs to Enterprise Data

Topic 1 - Welcome to the show.

Topic 2 - Let’s begin by talking about your broader view of where IT Operations is today for large companies. What are their biggest challenges, and where are their opportunities for big improvements?

Topic 3 - One of the biggest challenges for IT Operations is so many systems, so many tools, so many data sources and the difficulty of coordinating (troubleshooting, incident response, pattern detection, etc.) across them. Is there a modern approach that’s emerging about how to make this better?

Topic 4 - Where does the potential of AI models come into play here? It is more focused on being able to ask the system for diagnosis, or can it start getting closer to taking independent actions?

Topic 5 - How do you train an AI model with so many different pieces of customer data?

Topic 6 - Let’s talk about AI Agents and what they can begin to accomplish within an Enterprise.

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It’s not a reach to say that we’re currently in a time of uncertainty, across technology, economic and political spectrums. But historically, times of uncertainty have often led to unexpected creativity.

SHOW: 873

SHOW TRANSCRIPT: The Cloudcast #873 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"

SHOW NOTES:

STUFF THAT FEELS UNCERTAIN OR FRAGMENTED RIGHT NOW

• Transition of US political parties (regulation, leadership, reaction to the unknown, friend or foe of Silicon Valley)
• Stock market is somewhat bullish, but credit markets aren’t aligned
• Social media seems more fragmented (good & bad), so what does this do to information flows, learning, discussions, etc.
• Speculation is that AI LLM models are starting to plateau
• Cloud providers aren’t really talking about anything but AI
• VCs seem to be excited about the potential of acquisitions again, but who?
• Netflix can’t seem to figure out streaming live TV, at least at scale - but Amazon can?

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Rosalind Whitley (Dir. Product @Kentikinc) and Ethan Smith (Staff SRE @ An Enterprise Security Company) talk about network observability, the evolution of SRE for networking, flow analysis, and the complexity and tradeoffs or network design and operations at scale.

SHOW: 872

SHOW TRANSCRIPT: The Cloudcast #872 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"

SHOW SPONSOR:

• While data may be shaping our world, Data Citizens Dialogues is shaping the conversation
• Follow Data Citizens Dialogues on Apple, Spotify, YouTube, or wherever you get your podcasts

SHOW NOTES:

• Kentik - The Network Observability Platform (homepage)

Topic 1 - Welcome to the show. Tell us about your background and the areas you focus on today.

Topic 2 - I want to begin with the complexity of networking, and not just in the sense of routing, etc. Can you walk us through some of the things you have to consider, and potentially tradeoff, as you’re thinking about network design and operations (e.g. performance, security, costs, logging, troubleshooting, etc.)

Topic 3 - Usually there are many teams involved in making a large organization work. How do you collaborate across teams, and what types of technical hurdles get in the way of delivering the service? (maybe discuss logging challenges)

Topic 3a - How has the role of SRE and Network Engineer evolved as we’re now dealing with this new complexity? You have all the normal performance, high availability, observability stuff, but also things like egress costs, etc.

Topic 4 - We talked earlier about the challenge of cost management when running a large SaaS service. What are some of the ways that you explore or model costing behaviors and look to improve them?

Topic 5 - As you’re working in a single cloud (e.g. AWS), there’s often a belief that working only in that ecosystem is the best approach, as everything is integrated or billing is simpler. How did you go about exploring alternatives that worked in your cloud, but gave you more flexibility for your services?

Topic 6 - How do you tend to think about lines of demarcation between your team, the SaaS tooling provider and the cloud provider?

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