AI x DevOps by Facets.cloud
AI x DevOps by Facets.cloud
Podcast Description
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.
Podcast Insights
Content Themes
The podcast focuses on various themes related to AI and DevOps, featuring topics like AI-driven infrastructure orchestration, practical use cases of AI in CI/CD processes, and the evolving developer experience. For example, episodes cover specific experiments such as incorporating LLMs in coding, the implications of deterministic versus vibe-coded infrastructure, and audience insights into the future of platform engineering driven by AI technologies.
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.
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
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