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Designing Java Web Services That Recover From Failure Instead of Breaking Under Load
Failures happen constantly in web backends. This article explains how to design Java services that recover quickly instead of breaking under load.
December 9, 2025
by Krishna Kandi
· 2,985 Views · 5 Likes
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AI SDLC Transformation, Part 2: How to Measure Impact (and Avoid Vanity Metrics)
Learn how to measure AI-driven software delivery beyond vanity metrics, focusing on capability, sustainability, and real transformation impact.
December 9, 2025
by Orkhan Gasimov
· 916 Views · 1 Like
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Agile Is Dead, Long Live Agility
Agile is dead, long live agility. The brand may have failed, but its core ideas succeeded. It’s time to move on; the name was just a vehicle.
December 9, 2025
by Stefan Wolpers DZone Core CORE
· 2,043 Views · 4 Likes
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The Hidden Cost of AI Agents: A Caching Solution
The true bottleneck in AI agent systems is data access, not LLMs. Semantic caching and coordinated query handling transform performance and cost.
December 8, 2025
by Janani Annur Thiruvengadam DZone Core CORE
· 2,199 Views · 6 Likes
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Deployment Strategies for Self-Hosted Open-Source Applications: Balancing Efficiency and Control
Explore deployment options for self-hosted open-source apps: balance speed, control, flexibility, and long-term maintainability.
December 8, 2025
by 悦 申
· 2,298 Views · 1 Like
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Discover Hidden Patterns with Intelligent K-Means Clustering
K-Means goes beyond surface-level patterns to identify true shopper segments, enabling smarter cart-value forecasting and targeted recommendations.
December 5, 2025
by Raja Chakraborty
· 3,140 Views · 1 Like
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AWS Agentic AI for App Portfolio Modernization
AWS Agentic AI automates and enriches portfolio assessments, fusing business context with technical signals to deliver faster, more consistent modernization decisions.
December 5, 2025
by Subrata Saha
· 3,043 Views · 1 Like
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The Hidden Backbone of AI: Why Data Engineering is Key for Model Success
From Business Intelligence to Artificial Intelligence: Data Engineering’s New Mandate for Trustworthy, Context-Rich Data
December 5, 2025
by Rajanikantarao Vellaturi
· 1,731 Views · 2 Likes
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The RAG Illusion: Why “Grafting” Memory Is No Longer Enough
The CLaRa framework achieves true fusion of RAG's retrieval and generation modules via compressed vectors, enabling 16x efficiency and superior reasoning performance.
December 5, 2025
by Frederic Jacquet DZone Core CORE
· 2,876 Views · 1 Like
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Scaling RAG for Enterprise Applications Best Practices and Case Study Experiences
Explore the complexities of deploying Retrieval-Augmented Generation (RAG) in enterprise environments. Learn about common challenges, best practices, and real-world case studies to effectively scale RAG systems for enhanced AI performance and reliability.
December 5, 2025
by Amlan Patnaik
· 2,849 Views
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Can Generative AI Enhance Data Exploration While Preserving Privacy?
Generative AI lets teams explore data with natural-language queries, visualizations, and auto analyses while safeguarding privacy and compliance.
December 5, 2025
by None None
· 1,538 Views
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Why Traditional QA Fails for Generative AI in Tech Support
A dual-layer AI framework ensures continuous quality and reliable performance of GenAI support agents in complex technical environments.
December 4, 2025
by Rohith Narasimhamurthy
· 2,557 Views
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AI-Powered Data Integrity for ECC to S/4HANA Migrations
Ensure accurate SAP ECC-to-S/4HANA migrations with an AI-powered framework for automated data validation, reconciliation, and real-time insights.
December 4, 2025
by Gaurav Sharma
· 2,011 Views
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Architectural Understanding of CPUs, GPUs, and TPUs
Learn about CPUs, GPUs, and TPUs — definitions, use cases, architectural differences, and above all, when to use CPUs, GPUs, and TPUs.
December 4, 2025
by Vidyasagar (Sarath Chandra) Machupalli FBCS DZone Core CORE
· 5,470 Views · 5 Likes
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How to Use AI for Anomaly Detection
Apply AI to anomaly detection by training models on your data, setting baselines for normal behavior, and automating alerts for faster, accurate decisions.
December 4, 2025
by Laiba Noor
· 3,625 Views · 1 Like
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Building Self-Healing Data Pipelines: From Reactive Alerts to Proactive Recovery
Self-healing AI systems mark a turning point for modern data operations. Learn its possibilities and limits, and how to adopt it safely.
December 4, 2025
by Janani Annur Thiruvengadam DZone Core CORE
· 1,456 Views · 1 Like
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Stop Writing Excel Specs: A Markdown-First Approach to Enterprise Java
Shift design specs from Excel to Markdown and let AI generate Java while preventing drift and cutting development time by 55%.
December 3, 2025
by Dippu Kumar Singh
· 4,428 Views · 2 Likes
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Engineering Evidence‑Grounded Review Pipelines With Hybrid RAG and LLMs
For high-stakes reviews, our Hybrid RAG and LLM framework ensures auditable AI by forcing structured, verified, and calibrated outputs
December 3, 2025
by Chidozie Managwu
· 1,919 Views
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MCP Elicitation: Human-in-the-Loop for MCP Servers
MCP elicitation provides a standardized way for servers to request real-time user input through the client during a session.
December 3, 2025
by Maksim Kachurin
· 3,065 Views · 1 Like
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Building Privacy-Preserving ML for CRM Systems With Federated Learning
Build global ML models without moving customer data. Each region trains locally, shares encrypted updates. Data stays local, insights go global.
December 3, 2025
by Dhruv Kulshrestha
· 1,250 Views · 1 Like
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