A collection of my thoughts on distributed systems, Apache Cassandra, Kubernetes, AI, and the evolving landscape of data infrastructure.
Every commit your AI coding agent makes should go through review before it moves on. Here's how to wire RoboRev into Claude Code's hook system so every commit gets reviewed, and bad ones get fixed ...
Ten years from now, developers won't choose a database by brand. They'll choose an API. The question for Cassandra is whether we evolve into the universal state fabric that supports any interface d...
53% of Cassandra users are actively running AI and ML workloads today, compared to a 35-40% industry baseline. That gap exists because the data patterns AI systems consume map almost exactly onto w...
40% of Cassandra users are consolidating workloads into Cassandra. Only 24% are consolidating away. That gap doesn't come from marketing. It comes from 15 years of production systems that actually ...
Most of the data you're paying to store isn't being used. The database sprawl that caused this is expensive in ways that go well beyond storage bills, and enterprises are finally doing something ab...
After an incredible journey at DataStax, I'm excited to share my new role as Principal Technical Strategist at IBM. Here's what this means for my work in distributed systems and the future of enter...
Our latest community survey reveals that AI use cases with Apache Cassandra are projected to triple by 2026. Here's what this means for the future of distributed databases and enterprise AI.
The IBM acquisition of DataStax marks a strategic bet on Apache Cassandra's future. This deal signals a major moment in our journey and promises even more innovation for the Cassandra ecosystem.
Apache Cassandra 5.0 is the culmination of years of innovation and community collaboration. With features like Storage Attached Indexes and Vector Search, we're opening up new possibilities for how...
The AI community is embracing the sigmoid curve - after initial rapid growth, progress starts to level off as we hit natural limitations. Here's what this means for the future of large language mod...
Running stateful workloads on Kubernetes has always been challenging. Here's what I've learned from helping organizations deploy Apache Cassandra on K8s at scale.
ACID transactions in Apache Cassandra 5.0 fundamentally change what's possible with distributed databases. Here's why this is a game-changer for developers and operators alike.
Vector databases are revolutionizing AI applications, but most can't handle true enterprise scale. Here's how Apache Cassandra is changing the game with native vector search capabilities.
After years of helping teams run stateful workloads on Kubernetes, Jeff Carpenter and I decided to write the definitive guide. Here's what we learned and why it matters.
KubeCon Detroit brought together 7,000+ cloud native practitioners. Here are the three trends that will shape the future of our industry.
K8ssandra makes deploying Apache Cassandra on Kubernetes production-ready. Here's what we learned building a cloud-native distribution of the world's most scalable database.