AI

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

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