Your AI agents are using five different databases right now - and you don't even know it. This database sprawl is silently killing your platform's performance and your team's sanity.
In today's Platform Engineering Playbook, we dive deep into SurrealDB's multi-model approach and how it's revolutionizing AI infrastructure. Plus, breaking news on vulnerability management patterns that every platform engineer needs to understand.
**What You'll Learn:**
• Why database proliferation is the hidden killer of AI agent performance
• SurrealDB's architecture deep dive and real-world deployment strategies
• When (and when NOT) to consolidate your AI infrastructure databases
• The contextual SBOM pattern transforming vulnerability management
• India's massive $200B AI infrastructure play and what it means for the industry
**Timestamps:**
0:00 Cold Open - The Database Sprawl Crisis
2:15 SurrealDB Deep Dive - Architecture & Implementation
15:30 Practical Takeaways - When to Use Multi-Model Databases
**Why Listen?**
Get actionable insights from real platform engineering challenges, not theoretical fluff. We break down complex infrastructure decisions into practical guidance you can implement today.
Perfect for platform engineers, DevOps teams, and infrastructure architects building scalable AI systems.
**Sources & References:**
• SurrealDB Docker Extension: https://www.docker.com/blog/deploy-surrealdb-docker-desktop-extension/
• Spectral Collapse in Diffusion Inversion: https://arxiv.org/abs/2602.13303
• India AI Infrastructure Investment: https://techcrunch.com/2026/02/17/india-bids-to-attract-over-200b-in-ai-infrastructure-investment-by-2028/
• Contextual SBOM Pattern: https://developers.redhat.com/articles/2026/02/17/how-contextual-sbom-pattern-improves-vulnerability-management
#PlatformEngineering #DevOps #CloudNative #Kubernetes
