Скачать или смотреть Why Distributed Databases are Key to Auto-Remediation in the AI Era | AppDevANGLE

88% of enterprises are using AI, yet many are unprepared for the explosion of data and the demands of AI workloads. Your database needs to be more than just "always-on"—it needs to be "ultra-resilient."
In this dynamic episode of AppDevANGLE, Paul Nashawaty is joined by Karthik Ranganathan, Co-founder & CEO of Yugabyte, and Kirill Gavriluk, VP & GM of Azure Cosmos DB at Microsoft, to discuss the massive shift towards standardization on Postgres.
They break down why recent market moves—like major acquisitions—signal that a single, standardized, open-source database stack is the future. Learn how this shift enables true auto-remediation, accelerates developer velocity for hourly releases, and is the non-negotiable step for enterprises modernizing for exponential AI growth.
Key Takeaways & Discussion Points:
The AI Readiness Gap: Why enterprises' data infrastructure isn't keeping pace with the velocity of AI adoption and feature release cycles.
From Resilience to Ultra-Resilience: Defining true database resilience as surviving unexpected shifts and degradation (not just outages) in the age of fast-paced, commodity infrastructure.
The Postgres Gold Rush: Why consolidation onto Postgres is the clear industry trend (Databricks, Snowflake, Microsoft, Yugabyte) and why it's the standard for both relational and non-relational data.
DocumentDB Open Source: The importance of Azure Cosmos DB's DocumentDB built on Postgres, providing a standard, extensible API for semi-structured data needed by AI.
Open Source vs. Closed: The argument for always betting on open source as the center of innovation to meet exponential AI growth.
The Velocity Cycle: How standard APIs and modular components cut deployment cycles from months to minutes, enabling organizations to move toward hourly code releases.
The Auto-Remediation Loop: Combining open-source databases with observability to eliminate operational pain points, reduce the need for


00:00 - Intro
00:06 - From Journeys to Innovations: Exploring AI, Expertise, and Enterprise Resilience
02:18 - Advancing Database Solutions: Auto Remediation and Open Sourcing DocumentDB
05:04 - Emerging Influence of Postgres in Database Acquisition Trends
10:52 - Navigating AI: The Open Source Impact and Auto Remediation Challenges
13:03 - Standardization and Infrastructure Velocity
16:27 - Preparing Enterprises for AI Workloads
21:13 - The Future of AI, Open Source, and Innovation