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

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!

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.