The latest MCP spec mandates W3C tracing. Use Quarkus and OpenTelemetry to easily visualize disjointed, multi-round-trip AI agent workflows in production.
Jakarta NoSQL 1.1 brings Jakarta Query integration, projections, fluent updates, and automatic converters, strengthening polyglot persistence in Jakarta EE 12.
Multi-agent AI streamlines warehouse logistics by coordinating inventory, fulfillment, and automation in real time to improve efficiency and reduce costs.
Temporal replaces complex retry, recovery, and queue-handling logic with durable workflows that automatically recover from failures and resume execution reliably.
This article walks through building a modern Databricks pipeline using the Medallion Architecture, explains Delta Lake's transaction log and ACID guarantees.
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.
A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.
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.
How Spark Structured Streaming and the Databricks Feature Store work together to build point-in-time-correct features from Kafka events to streaming transformations.
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.