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 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.
Key topics covered:
• Agentic Operations at Scale: Why successful AI-driven operations require decades of automation maturity before agents can be trusted with critical workflows.
• Classic AI vs Generative AI: Understanding when machine learning and deterministic systems deliver better outcomes than LLMs.
• Human-on-the-Loop Operations: How enterprises are balancing automation and oversight for critical infrastructure and business applications.
• Making Tribal Knowledge Discoverable: The role of knowledge governance, prompt catalogs, and curated repositories in improving agent effectiveness.
• Sovereign AI and Hybrid Infrastructure: The challenges of building interoperable AI infrastructure while avoiding vendor lock-in across clouds and hardware vendors.
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