
Blog
ai
|Scale & Resilience
83% of technology leaders believe their infrastructure will fail under AI pressure within two years. That number is not meant to provoke alarm. It’s simply a fact that reflects the forward-looking judgment of 1,125 global engineering and technology leaders who are already seeing stress where their systems were never designed to carry it.

Becca Weng
February 17, 2026
AI
ai
Distributed SQL
Scale & Resilience
Agentic AI is coming for your database
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
Scale & Resilience
ai
300-Node Clusters Now Supported in CockroachDB
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
ai
Product
How CockroachDB’s AI Assistance Boosts Developer Productivity
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
ai
AWS
Scale & Resilience
Fraud Doesn’t Sleep—Your Infrastructure Can’t Either
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
ai
Scale & Resilience
Database Modernization
1,000+ tech leaders know AI is scaling faster than systems can adapt
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
ai
Scale & Resilience
Engineering
Vehicle Search with SQL and Vector Embeddings
"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
Banking & Fintech
ai
Product
How to Simulate Resilient, Real-Time Anomaly Detection with CockroachDB and Kafka
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
Scale & Resilience
ai
Why Agentic AI is Outrunning Your Database (and How to Catch Up FAST)
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
SQL
Why Modern AI Workloads Need Distributed Database Architecture
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