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Tracing the Agentic Loop: Monitoring Multi-Round-Trip MCP Calls With OpenTelemetry
The latest MCP spec mandates W3C tracing. Use Quarkus and OpenTelemetry to easily visualize disjointed, multi-round-trip AI agent workflows in production.
July 22, 2026
by Daniel Oh DZone Core CORE
· 2,972 Views · 1 Like
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Building Production-Ready AI Vector Search in Databricks: Chunking, Embeddings, ML Pipelines, and RAG
Build production-ready Databricks vector search with chunking, embeddings, Delta sync, index freshness, version control, and governance.
July 22, 2026
by Seshendranath Balla Venkata
· 2,190 Views · 1 Like
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When Data Quality Checks Pass but the Data Is Still Stale
A pipeline can pass every check and still serve stale data. Measure freshness (event time to publish time), not just validity.
July 20, 2026
by Vivek Venkatesan
· 1,917 Views
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Building Offline-First iOS Applications with Local Data Storage
Treat local storage as the source of truth, write to disk before the network, and sync later, as the network is a transport, not a requirement.
July 15, 2026
by Uthej Mopathi
· 2,262 Views · 1 Like
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Jakarta NoSQL 1.1: Advancing Polyglot Persistence for Jakarta EE 12
Jakarta NoSQL 1.1 brings Jakarta Query integration, projections, fluent updates, and automatic converters, strengthening polyglot persistence in Jakarta EE 12.
July 15, 2026
by Otavio Santana DZone Core CORE
· 3,449 Views · 1 Like
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The Role of Multi-Agent AI in Optimizing Warehouse Logistics
Multi-agent AI streamlines warehouse logistics by coordinating inventory, fulfillment, and automation in real time to improve efficiency and reduce costs.
July 13, 2026
by Lilly Gracia
· 1,783 Views · 1 Like
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Building Reliable Async Processing Pipelines Using Temporal
Temporal replaces complex retry, recovery, and queue-handling logic with durable workflows that automatically recover from failures and resume execution reliably.
July 13, 2026
by Akhil Madineni DZone Core CORE
· 2,105 Views · 2 Likes
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Exploring A Few Java 25 Language Enhancements
Brief and with practical code examples that raise developers' curiosity and interest in exploring these language enhancements in detail.
July 10, 2026
by Horatiu Dan DZone Core CORE
· 2,678 Views · 2 Likes
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Getting Started With RabbitMQ in Spring Boot
Learn RabbitMQ basics with Spring Boot, including exchanges, queues, routing keys, consumers, and Docker Compose in a hands-on example.
July 8, 2026
by Gunter Rotsaert DZone Core CORE
· 2,269 Views
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Building Production-Grade Delta Lake Pipelines With Apache Spark on Databricks
This article walks through building a modern Databricks pipeline using the Medallion Architecture, explains Delta Lake's transaction log and ACID guarantees.
July 8, 2026
by Jubin Soni, FBCS DZone Core CORE
· 1,581 Views · 1 Like
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A Step-by-Step Guide to Implementing Columnar Tables in SQL Server
SQL Server columnar storage organizes data by columns instead of rows, delivering faster queries, better compression, and efficient analytics.
July 7, 2026
by arvind toorpu DZone Core CORE
· 2,705 Views · 1 Like
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Building a Mortgage Agent With FRED Data, FastAPI, and LLM Tool Calling
A walkthrough of an open-source intelligent FastAPI app that pairs Freddie Mac benchmarks from FRED with a first-time buyer chat assistant.
July 7, 2026
by Sushma Kukkadapu
· 2,377 Views
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How to Build a Production-Ready RAG Pipeline With Vector DBs
RAG prototypes are easy. Production RAG is not. This covers vector DB tradeoffs, chunking patterns, re-ranking, and evaluation setups that hold up at scale.
July 6, 2026
by Mark Saxon
· 3,653 Views · 1 Like
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Parquet vs Lance: How Storage Layout Changes the Read Path
Parquet is scan-oriented. Lance is access-oriented. The difference is how much data the reader touches before returning results.
July 6, 2026
by Hitarth Trivedi
· 2,078 Views · 1 Like
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Azure Databricks for Scalable MLOps and Feature Engineering With Apache Spark, Delta Lake, and MLflow
A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.
July 6, 2026
by Jubin Soni, FBCS DZone Core CORE
· 1,340 Views
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From Polling to PubSub: Building an Asynchronous OPC UA Stack in Python
The architectural design and engineering required to build a native, asynchronous OPC UA Pub/Sub (IEC 62541-14) stack in Python for the open-source opcua-asyncio library.
July 3, 2026
by Harshith Narasimhan Srivatsa
· 1,858 Views · 1 Like
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Real-Time AI Feature Engineering With Spark Structured Streaming and Databricks Feature Store
How Spark Structured Streaming and the Databricks Feature Store work together to build point-in-time-correct features from Kafka events to streaming transformations.
July 2, 2026
by Jubin Soni, FBCS DZone Core CORE
· 2,307 Views
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Dead Letter Queue Patterns in Apache Flink: Handling Poison Messages Without Stopping Your Stream
A poison message can trap a Flink job in a restart loop. Use side outputs, retries, tiered DLQs, durable sinks, and replay jobs to keep the stream running.
July 2, 2026
by Rohit Muthyala
· 2,833 Views
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Apache Spark Query Optimization on Databricks: Catalyst, AQE, and Photon Engine
Spark query performance on Databricks is driven by a multi-layer optimization stack: Catalyst transforms SQL into optimized execution plans.
July 2, 2026
by Jubin Soni, FBCS DZone Core CORE
· 2,155 Views
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Fine-Tuning LLMs at Scale With Databricks MLflow and Spark
Learn how Databricks, Apache Spark, MLflow, and Hugging Face Transformers work together to create an end-to-end fine-tuning platform.
June 30, 2026
by Jubin Soni, FBCS DZone Core CORE
· 1,482 Views
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