The Cockroach Labs Blog

AI agents are no longer a thought experiment. They’re already writing code, calling APIs, retrying failed requests, and coordinating work at machine speed. And they’re about to put unprecedented pressure on the systems we use to store and move data.

Becca Weng

February 13, 2026

As AI-driven and agentic applications push data platforms into new territory, data architects are increasingly forced to choose between correctness, simplicity, and scale. Today, we’re removing that tradeoff — announcing support for 300-node clusters with 2.2M tpmC and 1.2PB of data in CockroachDB v25.4.4 and beyond. On CockroachDB Cloud, we’re announcing support for 64 vCPU per node. Testing to this scale is important to ensure that we’re testing ahead of customer deployments, and this milestone does just that. We believe these tests represent the largest node-scale testing completed by any distributed SQL vendor. And we’re just getting started.

David Bressler

February 12, 2026

CockroachDB users don’t all show up in the same place or follow the same path. Some are just starting to evaluate distributed SQL. Others are deep in implementation details, or they may already be operating cloud-based clusters. A growing number are building day-to-day with an AI coding assistant open alongside their editor.

Kiki Carter

February 5, 2026

Two major cloud outages in two weeks made one thing painfully clear: your fraud defenses can’t depend on any single region or provider being perfect all the time. Microsoft’s Azure Front Door misconfiguration rippled through widely used services and status systems, just days after a separate AWS incident disrupted thousands of apps globally. These weren’t niche blips—they were broad shocks to the digital economy.

Harsh Shah

February 4, 2026

Before AI workloads entered production en masse, infrastructural resilience was already key to mission-critical applications. But in 2026, resilience alone won’t be enough. The real challenge, one that’s already reshaping engineering priorities and strategic business initiatives is resilience at scale.

Becca Weng

January 29, 2026

"I'll know it when I see it" is the classic car buyer's line, but it's also the one thing old-school search bars totally fail to deliver. Traditional keyword search fails when a customer wants a car that "looks like this photo from Fast and Furious." This is where vector search comes in, transforming unstructured data into mathematical vectors to find semantically similar items.

Alejandro Infanzon

January 27, 2026

When it comes to real-time applications, resilience isn't a nice-to-have, it’s a necessity. In this post, we’ll walk through a live demo designed to stress-test CockroachDB’s ability to detect anomalies in a stream of financial transactions. Along the way, we’ll simulate production traffic, observe latency under load, and scale our detection pipeline on the fly.

Rob Reid

January 26, 2026

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

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