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Over the past year, it’s become increasingly clear that the most consequential change in AI isn’t happening in models — it’s happening in volume. As agentic systems move from experimentation into production and autonomy, autonomous activity is beginning to rival, and poised to exceed, human-driven traffic across the internet. That shift changes the economics and the physics of software.

Jeff Cotrupe

January 20, 2026

Oracle and Amazon Aurora continue to power many mission-critical applications. As cloud-scale workloads evolve, however, the definition of "enterprise-ready" has fundamentally shifted.

David Weiss

January 16, 2026

Modern applications rely on CockroachDB for workloads where resilience, correctness and availability are absolutely critical. Whether it’s being deployed for payment systems, identity provider systems, or transactional systems, one thing is certain: If the underlying database platform of these applications isn’t secure, nothing built on top of it can be truly secure, either.

Munir Jaber

January 15, 2026

Today’s SaaS products face twin demands: the digital identity layer must be seamless and enterprise-grade, and the data layer must scale globally while remaining reliably consistent.

Amine El Kouhen, Ph.D.

January 14, 2026

At its foundation, CockroachDB depends on a key-value storage engine called Pebble. In CockroachDB v25.4, the storage team introduced value separation within Pebble: an optimization that improves compaction efficiency for many workloads. Value separation increases the throughput of the core of CockroachDB, the storage engine, by up to ~50%, depending on the workload, through algorithmic improvements. It reduces redundant I/O, reducing cost-to-serve at scale. We’ll look at how Pebble represents data today, what’s changed, and how that translates to database efficiency.

Jackson Owens

January 13, 2026

Agentic AI systems represent a big shift for artificial intelligence: from stateless inference to autonomous, long-running software agents that plan, reason, act, observe outcomes, and adapt over time. These agents operate continuously, coordinate with other agents and tools, and maintain evolving state across complex workflows.

David Bressler

January 7, 2026

AI workloads have become business-critical applications. Agentic systems, real-time inference, recommendation engines, fraud detection, and retrieval-augmented generation (RAG) are live and impacting the customer experience.

David Weiss

December 30, 2025

High demand should be a good thing, but retailers are now facing a new threat: “success disasters.” In 2026, major retailers will move beyond traditional scaling strategies and start preparing for this different kind of challenge. Not the slow, manageable kind of success, but the sudden surge of popularity that strains even the most carefully planned systems. Success disasters happen when interest spikes, traffic surges, and infrastructure simply can’t keep up.

Rob Reid

December 29, 2025

Real-time AI isn’t a future ambition. It’s today’s business necessity. But powering fast, intelligent experiences in production takes more than just a good model. You need the right data infrastructure behind it.

Becca Weng

December 24, 2025