Name: AWS re:Invent 2025
Start: 2025-12-02T18:00:00.000Z
End: 2025-12-05T01:00:00.000Z

Tuesday, December 2 (UTC)

December 3

December 4

December 5

ON DEMAND

Sriram Devanathan, AWS Transform

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Sriram Devanathan
Director of Software Development AWS Transform
ON DEMAND

Milin Desai, Sentry.io

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Milin Desai
CEO Sentry

Christophe Bertrand
Principal Analyst SiliconANGLE & theCUBE
ON DEMAND

Matt Garman, AWS

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Matt Garman
CEO AWS
ON DEMAND

Marc Brooker, AWS

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Marc Brooker
VP and Distinguished Engineer of Agentic AI AWS
ON DEMAND

Keynote Analysis

In this keynote analysis from AWS re:Invent 2025, theCUBE’s John Furrier joins analysts Paul Nashawaty, Zeus Kerravala and Sarbjeet Johal to unpack how Amazon is redefining cloud infrastructure through the lens of agentic AI. The panel breaks down Matt Garman’s declaration that "agents are the new cloud," exploring key announcements surrounding the Nova model family, AgentCore and Amazon Bedrock. The discussion highlights AWS’ strategic pivot from merely abstracting infrastructure complexity to abstracting work itself, effectively bridging the gap between professional coders and "citizen developers" while unifying the experience for builders at every level.

The conversation digs deeper into the practical realities of enterprise AI adoption, emphasizing the critical role of security, governance and compliance in moving from proof-of-concept to production. Kerravala, Johal and Nashawaty analyze AWS’ vertically integrated approach – spanning from custom silicon like Trainium and Inferentia to the application layer – and how this full-stack strategy allows customers to train models on proprietary data with improved price-performance. The group also debates the evolving competitive landscape, noting how AWS is equipping organizations to build autonomous, long-running agents that function as teammates rather than just tools.

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John Furrier
Co-Founder & Co-CEO SiliconANGLE Media, Inc.

Zeus Kerravala
Founder & Principal Analyst ZK Research

Paul Nashawaty
Practice Lead and Principal Analyst theCUBE Research
ON DEMAND

Ken Exner, Elastic

Ken Exner, chief product officer at Elastic, joins Jackie McGuire, principal analyst at theCUBE Research, for an in-depth conversation during AWS re:Invent 2025. The discussion centers around developments in artificial intelligence (AI), particularly Elastic's innovations and the vital role of context engineering in advancing AI applications.

With a significant industry tenure, including 16 years at AWS and a current position as chief product officer at Elastic, Exner details their journey and contributions at Elastic. The focus is on how Elastic utilizes AI to enhance its product portfolio. TheCUBE Research's Jackie McGuire and the hosts explore Exner's insights on the evolving landscape of AI and security.

Key takeaways include the emergence of context engineering as a critical factor in building effective AI systems, a prediction reinforced by Exner. The examination covers how Elastic leverages its expertise in relevance and open standards to shape the future of agent-based technologies. The conversation also addresses strategic integrations of Elastic's offerings to enhance AI, security and observability solutions, according to Exner and analysts.

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Ken Exner
Chief Product Officer Elastic
ON DEMAND

Julia White, AWS

In this interview during theCUBE's coverage of AWS re:Invent, Julia White, chief marketing officer of AWS, joins theCUBE’s John Furrier to break down the major announcements reshaping the enterprise AI landscape. White details the launch of "AI Factories," an opinionated infrastructure approach designed to bring large-scale compute capabilities directly to customers' existing data centers, specifically for highly regulated and sovereign needs. She explains how the new Nova Forge empowers organizations to create custom frontier models by securely blending their proprietary data with Amazon’s training data, effectively solving the trade-offs between fine-tuning and model performance. The conversation also highlights significant advances in custom silicon, with new generations of Trainium delivering up to 80% better price-performance to optimize AI infrastructure from top to bottom.

The discussion then shifts to the emergence of "Frontier Agents," a new class of autonomous, massively scalable and long-running AI agents capable of executing ambiguous tasks over weeks without constant redirection. White outlines AWS' strategy to democratize agentic AI through AgentCore, which provides the essential enterprise building blocks – such as security, governance and identity management – needed to move agents from experimental fringes to production environments. She emphasizes how these innovations, alongside specific agents for software development, DevOps and security, are unlocking faster time-to-value and fundamentally changing how businesses approach the software development lifecycle.

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Julia White
VP, WW AWS Marketing AWS
ON DEMAND

Jason Ballard, Chris Jangareddy & Rima Olinger

In this interview during theCUBE's coverage of AWS re:Invent, Jason Ballard from Toyota Motor North America, Chris Jangareddy from Deloitte, and Rima Olinger from AWS join theCUBE’s Rob Strechay to unpack the practical realities of agentic AI. The discussion centers on the shift from generative AI's content creation to agentic AI's ability to plan, reason and execute autonomous tasks to solve complex business problems. The panel details how their strategic collaboration is revolutionizing Toyota’s supply chain operations, moving from traditional reactive management to a "self-healing" network capable of proactively handling disruptions through simulation and automated recommendations.

The conversation dives deep into tangible business outcomes, with Jangareddy revealing that Toyota has achieved an 18% improvement in planner productivity and a 20% boost in forecasting accuracy. Ballard explains how agentic AI acts as a "two-in-a-box" partner, transforming roles that once required stitching together over 70 spreadsheets into strategic positions with broader scope. Olinger highlights the critical necessity of workforce upskilling to support this transformation, noting that AWS surpassed its initial targets by training 29 million people on AI skills in 2024. Together, they outline a roadmap for enterprise adoption: prioritizing high-value use cases, ensuring security via tools like AWS Audit Manager and rigorously measuring ROI before scaling to production.

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Jason Ballard
Vice President of Digital Innovations Toyota North America

Rima Olinger
Director, Amazon Quick Suite AWS

Chris Jangareddy
Managing Director/Partner – AI and Data Engineering Deloitte

Rob Strechay
Dir./Principal Analyst & Host theCUBE Research
ON DEMAND

Han Xiao, Elastic

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Han Xiao
VP of AI Elastic
ON DEMAND

Eswar Bala, AWS

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Eswar Bala
Director of Containers AWS
ON DEMAND

Deepak Singh, AWS

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Deepak Singh
VP, Next Gen Developer Experience AWS
ON DEMAND

Clare Liguori, AWS

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Clare Liguori
Senior Principal Software Engineer AWS
ON DEMAND

Christine Yen, Honeycomb.io

In this interview during theCUBE's coverage of AWS re:Invent, Christine Yen, chief executive officer of Honeycomb.io, sits down with theCUBE’s Dave Vellante to discuss why observability is emerging as the critical "trust fabric" for AI-driven software development. Yen explains that as AI coding assistants accelerate development velocity and increase the volume of code in production, the potential for instability and "unknown unknowns" rises significantly. She argues that traditional monitoring, which often minimizes data collection to control costs, cannot keep up with the distributed dependencies responsible for nearly 70% of outages. Instead, high-fidelity telemetry is required to create the necessary feedback loops that allow engineering teams to validate agentic behavior and maintain system reliability.

The conversation also highlights Honeycomb’s latest strategic announcements designed to meet these challenges, including the launch of Honeycomb Private Cloud for organizations with strict governance needs. Yen details the company’s full embrace of OpenTelemetry standards for metrics and the general availability of Honeycomb Canvas, a natural language interface that simplifies complex querying. Yen and Vellante further explore the misconception that AI will reduce the need for oversight, with Yen positioning observability as the "seatbelt" for AI – allowing teams to move fast while retaining the ability to detect and resolve issues in real time.

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Christine Yen
Co-Founder Honeycomb.io
ON DEMAND

Tom Eggemeir, Zendesk

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Tom Eggemeier
CEO Zendesk
ON DEMAND

Christina Kosmowski, LogicMonitor

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Christina Kosmowski
CEO LogicMonitor
ON DEMAND

Andy Warfield, AWS

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Andy Warfield
VP & Distinguished Engineer AWS
ON DEMAND

Julie Neumann, Honeycomb.io

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Julie Neumann
CMO Honeycomb.io
ON DEMAND

Milin Desai, Sentry

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Milin Desai
CEO Sentry
ON DEMAND

Rohit Prasad, AWS

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Rohit Prasad
SVP and Head Scientist, AGI AWS
ON DEMAND

Rajiv Chopra, AWS

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Rajiv Chopra
VP, AWS Healthcare AI, Life Sciences and Just Walk Out AWS