Your 12 hourly digest for DZone.com Feed

DZone.com Feed Recent posts on DZone.com

Discover Hidden Patterns with Intelligent K-Means Clustering Dec 5th 2025, 20:00 by Raja Chakraborty What is Clustering Clustering is a type of unsupervised machine learning technique that groups similar data points together. Clustering helps you automatically identify patterns or natural groups hidden in your data. Imagine this scenario: Designing a CPU-Efficient Redis Cluster Topology Dec 5th 2025, 19:00 by Gaurav Rathor Redis is a popular in-memory data store that has become an essential component of many modern applications. With its high performance, scalability, and reliability features, Redis has emerged as a top choice for caching, session management, and other use cases. In this article, we'll explore the deployment topology of Redis Cluster, specifically focusing on the master-replica approach utilizing all the cores on the vms, leveraging the single threaded behaviour of redis. What Is a Redis Cluster A Redis Cluster is a distributed deployment that shards your dataset across multiple Redis nodes. It automatically handles data partitioning and replication, ensuring both high availability and horizontal scalability. AWS Agentic AI for App Portfolio Modernization Dec 5th 2025, 18:00 by Subrata Saha Rethinking Application Modernization in the GenAI Era Enterprises are accelerating their modernization journeys, driven by cloud mandates and growing demand for digital agility. Yet when faced with large application portfolios, transformation leaders often struggle to make decisions that are objective, scalable, and consistent. In the era of Generative AI, a new paradigm is emerging: Agentic AI systems that not only reason over user input but also collaborate as autonomous agents to deliver reliable, explainable, and business-aligned outcomes. From Containers to WebAssembly: The Next Evolution in Cloud-Native Architecture Dec 5th 2025, 17:00 by Gideon Ali When Docker first arrived, it felt like magic. I was working at a fintech startup then, and containers instantly killed the dreaded "works on my machine" problem. For the first time, we could package our applications with all their dependencies, ship them anywhere, and trust they'd run exactly the same way. But here's the thing about revolutions — they expose new problems while solving old ones. The Hidden Backbone of AI: Why Data Engineering is Key for Model Success Dec 5th 2025, 16:00 by Rajanikantarao Vellaturi Introduction Everyone is talking about AI models, but only a few are discussing the data pipelines that feed them. We talk about LLM benchmarks, the number of parameters, and GPU clusters. But under the hood, every AI and ML model has an invisible, complex, and messy data pipeline that can either supercharge it or break it. Over the last 20 years, I have built data pipelines for large companies like Apple. I have seen firsthand how crucial these data pipelines are for any model to succeed.

You are receiving this email because you subscribed to this feed at blogtrottr.com. By using Blogtrottr, you agree to our policies, terms and conditions. If you no longer wish to receive these emails, you can unsubscribe from this feed, or manage all your subscriptions.