Most teams log, but log badly: wrong severity levels, no trace IDs, inconsistent fields, and logs siloed from traces. Fix that, and incidents go from hours to minutes.
A tiny, type-safe bridge for mounting React microfrontends across Module Federation boundaries — without repetitive lifecycle wrappers, shared stores, or code generation.
GraphQL was good at a time, then it simmered off. Is GraphQL about to make a comeback because of AI? Will GraphQL be able to serve better for AI Agents?
In this article, I will be introducing a pipeline designed to identify sensitive data columns before masking steps and improve the efficiency of the data masking process.
We model a supply chain in Neo4j using Apache Spark to load data, NetworkX to identify critical nodes, and Cypher to find alternative routes after a disruption.
We eliminated per-record Python-side Protobuf parsing and JVM-to-Python crossings by letting Flink's native Protobuf format decode records directly into typed columns.
By combining Quarkus Flow, LangChain4j, MCP tools, and AGENTS.md, developers can construct deterministic, tool-augmented, and enterprise-governed AI agent loops.
A zero-trust framework for cloud migrations, grounded in real enterprise deployment lessons. Perimeter security doesn't hold up once workloads move to the cloud.
One cron line breaks once you have more than one server. Learn to design a distributed job scheduler that runs each job once, survives crashes, and retries.
RAG cuts chatbot hallucinations by grounding answers in retrieved source data, not model memory. Retrieval quality and evaluation matter more than model size.
RFC 10008's new QUERY method is safe and cacheable like GET but carries content like POST. This article explains the spec and runs it on Quarkus today.
I built six AI visibility tools without a traditional backend, using one Cloudflare Worker to solve CORS while all scoring logic runs client-side in the browser.