AI x DevOps by Facets.cloud

Engineering teams are under pressure to move faster, do more with less, and stay ahead of an increasingly complex stack. AI is becoming a key piece of that equation — not just as a tool, but as a shift in how DevOps is done.At Facets.cloud, we’re building infrastructure orchestration for the AI era. And with AI x DevOps Podcast, we’re creating the space for honest, technical, forward-looking conversations about that shift - from early experiments to long-term visions.This podcast is about sharing what’s real: what’s working, what’s not, and what’s next. Whether you’re building internal copilots, streamlining CI/CD with AI, or rethinking developer experience — we want to learn from your story.

AI x DevOps by Facets.cloud is a technology podcast hosted by Facets.cloud, with 7 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Facets.cloud hosts AI x DevOps by Facets.cloud, a technology show with 7 episodes published.

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  Episode #7

  From AI Assistants to AI Coworkers: The Future of Enterprise AIOps | Dr. Rahul Ghodke (CGI)

  Jun 2, 202659 minS0

  <p>In the 7th episode of the AI x DevOps podcast, host Rohit Raveendran sits down with Dr. Rahul Vilas Ghodke, SVP & Business Unit Leader – Global Technology Operations (APAC) at CGI, to explore what it really takes to move from AI assistants to AI coworkers in enterprise operations.</p><p>Key topics covered:</p><p>• Agentic Operations at Scale: Why successful AI-driven operations require decades of automation maturity before agents can be trusted with critical workflows.</p><p>• Classic AI vs Generative AI: Understanding when machine learning and deterministic systems deliver better outcomes than LLMs.</p><p>• Human-on-the-Loop Operations: How enterpri...

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  Episode #6

  What Engineering Productivity Means Now: The DORA Lens on AI

  Feb 11, 202657 minS0

  <p>In the 6th episode of the AI in DevOps podcast, host Rohit Raveendran sits down with Nathen Harvey, the lead at DORA at Google Cloud, to dissect the groundbreaking findings of the 2025 DORA Report.</p><p>Key topics covered:<br><br></p><p>• AI as an Amplifier: Learn why AI is categorized as an "amplifier" rather than a "magic wand," requiring solid existing practices to truly yield results.</p><p>• The Platform Engineering Boom: A look into why 90% of survey respondents have now adopted platform engineering.</p><p>• The J-Curve of Productivity: How to navigate the initial performance dip during...

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  Episode #5

  AI Meets MLOps: Making Sense of the Mess

  Nov 6, 20251h 11mS0

  <p>In this episode of AI x DevOps, Rohit sits down with Görkem Ercan, CTO at Jozu, a company building a DevOps platform for AI agents and models. Görkem, a veteran with over two decades of software experience (including contributions to the Eclipse Foundation), explains why MLOps is fundamentally different from traditional, deterministic DevOps—leading to extreme pipeline fragmentation.</p><p>Here are some of our favourite takeaways:</p><p>• Standardization is Key: Why OCI is the recognized standard for packaging AI/ML artifacts, and how the Model Packs project (with ByteDance, Red Hat, and Docker) is defining the ar...

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  Episode #4

  AI DevOps in Practice: A Solutions Architect's View

  Sep 8, 20251h 6mS0

  <p>Join host Rohit (Facets Cloud) in conversation with Sanjeev Ganjihal, Senior Specialist Solutions Architect - Containers at AWS and early Kubernetes expert. They discuss the rapid evolution of AI and DevOps, Kubernetes as the new operating system, generative AI in engineering, and the shifting landscape of roles like DevOps, SRE, and AIOps. Sanjeev shares practical advice on using AI assistants, agentic tools, self-hosted models, and the balancing act between automation, productivity, and upskilling in today’s cloud-native world.</p>

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  Episode #3

  AI Security Reality Check

  Jul 15, 20251 hourS0

  <p>This podcast features a discussion with Nathan Hamiel, Director of Research at Kudelski Security, an expert with 25 years in the cybersecurity space, focusing specifically on AI security.</p><p>The conversation centers on navigating the generative AI revolution with a grounded and security-first perspective, particularly for product developers and the security community. Key topics explored include:</p>The balance between AI adoption and skepticism: Nathan discusses how his security outlook influences his professional adoption of AI tools, emphasizing understanding capabilities and evaluating benefits versus trade-offs before production.AI productivity and its challenges: The speakers touch upon Google DORA reports...

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