
Patrick McFadin
Articles
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Nov 8, 2024 |
thenewstack.io | Patrick McFadin
If you’ve been around the Apache Cassandra project long enough, you develop a sense of where distributed databases are heading. The long-time contributors to this project have consistently anticipated the future of data infrastructure, often years ahead of market trends. That’s why the latest Apache Cassandra user survey results feel less like news and more like validation: We’ve been building exactly what users need, together as a community.
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Oct 3, 2024 |
datastax.com | Patrick McFadin
As an Apache Cassandra® committer and long-time advocate, I'd like to walk you through the relationship between the open-source Cassandra project and DataStax. With the recent release of Cassandra 5.0, it's the perfect time to explore how this collaboration drives innovation and benefits the entire community, while also examining the challenges faced by those who diverge from the main project.
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Sep 9, 2024 |
datastax.com | Patrick McFadin
After reading my previous post on the current state of large language models, you might wonder, "OK, so where do we go from here?" Well, buckle up because we're about to dive into how you can become an AI power user in this evolving landscape. As I explained previously, LLMs are starting to level out in capabilities and quality. They also represent a new competency in application development that is evolving and maturing in real time.
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Aug 19, 2024 |
thenewstack.io | Janet Wi |Jon Udell |Janakiram MSV |Patrick McFadin
Development teams are more agile than ever, developing and deploying new applications at the speed required to be competitive in increasingly more saturated markets. One of the ways developers have become more agile is through adopting cloud native technologies like containers and Kubernetes, which offer a lightweight and dynamic infrastructure for faster application development. Although containers are known for being fast and efficient, they are also not simple to manage.
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Aug 19, 2024 |
thenewstack.io | Cynthia Dunlop |Patrick McFadin |Darryl Taft |David Brooks
At last year’s P99 CONF, one of the most popular talks was about how moving data closer to your users can save hundreds of milliseconds in latency “even if your code sucks.” But sometimes, when you’re working on ultra-low-latency applications where every millisecond matters, every element must be designed for performance — from the code itself, to the language it’s written in, to the infrastructure it’s running on and everything it interacts with.
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