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.
What Happens When AI Makes Deployment Instant? | Sailesh Panchal | Episode 08
Host Rohit Raveendran interviews Sailesh Panchal, CTO of TSB, about how understanding organizational DNA is key to successful transformation before AI enables instant execution.
2 Jun 2026TRANSCRIPT
From AI Assistants to AI Coworkers: The Future of Enterprise AIOps | Dr. Rahul Ghodke (CGI)
Host Rohit Raveendran interviews Dr. Rahul Vilas Ghodke, SVP & Business Unit Leader – Global Technology Operations (APAC) at CGI, about evolving AI assistants into AI coworkers for enterprise operations.
11 Feb 2026TRANSCRIPT
What Engineering Productivity Means Now: The DORA Lens on AI
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.
Key topics covered:
• 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.
• The Platform Engineering Boom: A look into why 90% of survey respondents have now adopted platform engineering.
• The J-Curve of Productivity: How to navigate the initial performance dip during a transformation to reach higher stability and efficiency.
• AI-Centric UX: Discussing whether platforms should be redesigned to serve AI agents as primary users.
• Measuring Success: Moving beyond static dashboards toward team reflection and experimentation to improve software delivery
6 Nov 2025TRANSCRIPT
AI Meets MLOps: Making Sense of the Mess
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.
Here are some of our favourite takeaways:
• 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 artifact structure.
• Open Source Headaches: The critical challenge maintainers face when receiving large amounts of untested, verbose, AI-generated code.
• LLM Economics: Discover why running small, fine-tuned LLMs in-house can be cheaper and provide more predictable, consistent results than generic large providers.
• KitOps Solution: How KitOps creates an abstraction that allows data scientists to focus on training while leveraging existing DevOps platforms for deployment.
Tune in now to understand the standardization movement reshaping the future of AI development!
8 Sept 2025TRANSCRIPT
AI DevOps in Practice: A Solutions Architect's View
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.
15 Jul 2025TRANSCRIPT
AI Security Reality Check
Nathan Hamill, cybersecurity expert, discusses AI security challenges with the hosts, including vulnerabilities like prompt injection and the need for architectural changes, offering product engineers insights into responsible AI integration in this interview.
4 Jun 2025TRANSCRIPT
MCP Without the Hype: Founders Take
Facets.cloud co-founders Rohit and Anshul explore Model Context Protocols, detailing their evolution into standardized tool connectors for AI-driven DevOps and offering insights into their adoption.
9 May 2025
From Click-Ops to Chat-Ops: AI's Double-Edged Promise
DevOps Engineer Vincent De Smet discusses with Rohit Raveendran the double-edged promise of AI in infrastructure, exploring the trade-offs, future of platform engineering, and inner-sourced guardrails in this interview.
Inside a recent episode
What Happens When AI Makes Deployment Instant? | Sailesh Panchal | Episode 08
Published 29 Oct 2026 · Transcript excerpt
[…] And then the partner has to do the excavation work to say, what am I transforming? And that can be quite painful because it's a journey of discovery sometimes for both the buyer and the seller. And, you know, makes it very difficult for organizations to get the outcome they really want. Exactly. […]
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