AI

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

As GenAI applications evolve from chat interfaces to autonomous agents, they are also introducing real infrastructure challenges. Model hallucinations, service outages, and scaling limitations are common blockers, especially for enterprise teams trying to move beyond proof of concept.

Becca Weng

December 16, 2025

This year the tech industry faced big changes: DORA regulations went into effect, the increasing adoption of AI and AI agents, and major outages. As our State of Resilience Report found earlier this year, organizations experience on average 86 outages each year. Within just one month, we saw critical services falter as AWS, Azure, and Cloudflare grappled with downtime. In 2025, the everyday consumer felt firsthand the impact of those outages: sites like X and ChatGPT malfunctioned, airlines suffered, and customer trust eroded.

Becca Weng

December 15, 2025

When Isaac Wong talks about building systems, he puts people before servers or code. A mathematician turned engineering leader, Wong is constantly connecting abstract theory with real-world resilience. Today, as Executive Vice President of R&D at Cockroach Labs, he leads teams shaping one of the world’s most advanced distributed databases.

David Weiss

December 10, 2025

For Cockroach Labs and AWS, it’s been a year since we announced our Strategic Collaboration Agreement, and this is a moment to highlight how our partnership has grown. Today, we’re powering a new class of applications, from real-time genAI use-cases to scalable fintech platforms to globally resilient gaming experiences, ready to tackle the ever-changing landscape of tech advances.

Becca Weng

December 1, 2025

As part of our participation in Microsoft Ignite, Cockroach Labs hosted our latest Cockroach Connect, The Hidden Infrastructure Challenges Behind AI in San Francisco. In a day packed with activity, our CEO and co-founder Spencer Kimball moderated a powerhouse panel of investors: Peter Fenton (Benchmark), Satish Dharmaraj (Redpoint Ventures), and Lucas Swisher (Coatue). The conversation dove into the tectonic shifts underway in technology as AI redefines how systems and software are built, and how businesses operate.

Becca Weng

November 26, 2025

In today’s AI-driven world, enterprises need more than just fast queries or scalable storage, they need a unified data foundation that can power both real-time transactional workloads and vector-based AI applications. Traditionally, these two worlds have lived apart: transactional databases handled the operational data, while vector stores powered AI search and semantic similarity. But that separation comes at a cost: data fragmentation, slow pipelines, and operational complexity. What if you could have both in one system?

David Joy

November 18, 2025

AI systems, from LLM pipelines to generative image models, produce staggering volumes of unstructured data. But it's not the raw objects that cause operational headaches – it's the metadata: versions, references, lifecycles, and access policies. Without metadata management tools built into the database layer, object storage at scale quickly becomes unmanageable.

David Weiss

October 2, 2025

Every AI application – whether it's an LLM-powered chatbot, an API platform, or a generative service – depends on a secure, always-on identity layer. IAM (identity access management) determines who gets access, what they can do, and how long their session lasts. When the database behind IAM fails, so does the AI experience.

David Weiss

September 3, 2025