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Cloud-Native Databases on Kubernetes for AI Agents, with Sergey Pronin

52 min

Sergey Pronin, founder of Solanica and former Percona engineer, joins the panel to discuss why the SaaS-only data model is fracturing. The conversation covers 'Dark Matter Data' trapped inside enterprises, treating databases like cattle on Kubernetes, API-driven self-service provisioning, and why donating Open Everest to the CNCF matters for license-stable infrastructure.

Special Guests

Sergey Pronin

Founder of Solanica and former Percona engineer, building Open Everest, a Kubernetes-native platform for running databases as portable, self-service infrastructure.

About This Episode

What is "Cloud-Native Databases on Kubernetes for AI Agents, with Sergey Pronin" about?
Sergey Pronin, founder of Solanica and former Percona engineer, joins the panel to discuss why the SaaS-only data model is fracturing. The conversation covers 'Dark Matter Data' trapped inside enterprises, treating databases like cattle on Kubernetes, API-driven self-service provisioning, and why donating Open Everest to the CNCF matters for license-stable infrastructure.
What topics does this episode cover?
This episode is filed under Data & Databases, AI & Agents, Open Source on Agentic SaaS Talks.
How long is this episode, and when was it published?
"Cloud-Native Databases on Kubernetes for AI Agents, with Sergey Pronin" runs 52 min and was published on February 19, 2026.
Who is featured in this episode?
This episode features Sergey Pronin as a guest, in conversation with the Agentic SaaS Talks hosts.
What are the key moments in this episode?
Key moments include: Meet Sergey Pronin: From Percona to Founding Solanica; The 'Lego Mindset': Building interchangeable infrastructure blocks; Data as Fuel: Why 80% of valuable data is 'Dark Matter'; The Risk of Model Collapse; The Resurgence of Postgres; Building on Open Everest and the Sovereign AI niche; Databases as Containers: Portability without vendor lock-in; Persistence on Kubernetes: Treating databases like cattle. The timestamps on this page jump to each one on YouTube.

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