🧠 It’s happening Nov 5. Corey Quinn x Dragonfly CEO Oded Poncz — a sharp, slightly unhinged chat about the future of in-memory data (and why the old way’s done). 🎙 Hosted by @DuckbillGroup 👉 Save your seat: https://t.co/Vwvbvz4i2l #AWS #CloudArchitecture #DataInfrastructure

The in-memory data store ecosystem is moving faster than ever. Our new analysis explores the landscape 1.5 years after the #Valkey fork, the push for performance and innovations, and what it means for building context-rich real-time #AI applications.👇 https://t.co/UtVGkXmQEo

Multi-threaded I/O isn’t fully multi-threaded. For CPU-intensive workloads, #Valkey’s I/O threads only gave a ~5% boost. Dragonfly, on the other hand, delivered 7x higher throughput on the same 8-core hardware. Read the full analysis below! https://t.co/Tevke6e163

@ScyllaDB Thanks for the great talk! It’s impressive to see a best-in-class distributed database like ScyllaDB continuing to evolve and push the boundaries.

New from #MDISummit: This week’s standout talk reveals how @ScyllaDB’s tablet-based data distribution and raft-based metadata management enable dynamic, topology-agnostic scaling. A must-watch for #DevOps & #database pros! #DataInfrastructure #Scalability https://t.co/4ltgfJYEmM

Thanks for the great talk by @ryguyrg from @motherduck! It was full of really helpful insights. 😃

Forget bolting a catalog onto your data lake. What if one database could manage all your metadata and boost performance? This week from the #MDISummit: Scaling Data Lakes to Warehouse Performance with #DuckLake. 🎥 Watch the full talk!

Is migrating from Redis to #Valkey worth the effort? The answer is more nuanced than a simple yes/no. We dive deep into the cost savings, performance, and the reality of migrating large-scale deployments. Read the full analysis below. https://t.co/XYqQwwhYct

If you’re a tech company who believes in this future too, join us: support groups like Girls Who Code and create more space for women and gender-diverse engineers in infra. 🖤❤️💛💚💙

We donated to @GirlsWhoCode and invited them to join us for free with the hope that we’ll see more women and gender-diverse engineers shaping the future of infra. #STEM #DiversityInTech #DataInfrastructure

We’re building Dragonfly for everyone, and that includes the next generation of diverse voices shaping data infrastructure. This year’s #MDISummit stage didn’t reflect the diversity we hoped for, and that matters.

@Greptime @Sunng & Ruihang Xia

The Modern Data Infrastructure Summit brought together the people rethinking how data systems are built. This week: “Observability Data Lake: Motivation and Methodology” by @Greptime. #MDISummit #Observability #DataLake 🎥 Watch the full talk! https://t.co/aECJ77bWoM

@DuckbillGroup @OPoncz + @QuinnyPig

Exciting to see the features shaping up for the upcoming Valkey 9.0 release! This kind of progress benefits the entire in-memory data ecosystem. #Cache #Database #OpenSource #Valkey Read more about what to expect in Valkey 9.0 below! https://t.co/9j1VdPIqBL

@joezhou_df @ScyllaDB Amazing talks are coming and it’s free! Register today ➡️

🚀 One week until #P99CONF! Our developer advocate @joezhou_df is joining the stage as well. Huge thanks to @ScyllaDB for hosting! If you’re into high-performance, low-latency, AI-native data systems, this is where you need to be. #AI #Databases #ML #RealTimeData #Scalability

Happy Friday! 🎉 Tackling training-serving skew in your ML models? Check out how to use Feast to ensure feature consistency, then migrate from Redis to Dragonfly for a highly performant system with minimal config changes. #AI #MachineLearning #MLOps https://t.co/pa8g0LPR4w

@OPoncz + @QuinnyPig

Corey Quinn x Dragonfly CEO Oded Poncz. A straight-talk session on what it really takes to reinvent in-memory data (and why the old way’s done). 🎙 In-memory data reimagined 📅 November 5, 10a PST 👉 Register: https://t.co/nDrFKkLjPV #InMemoryData #DataInfra #CloudNative