Moving a hardcoded LangGraph React agent into LaunchDarkly AI Configs so prompts, models, tools, tracking, and rollout testing can be changed without redeploying.
My goal here is to experiment with an alternative approach leveraging Java's tried-and-tested, robust functionalities that have been available since JDK 1.5.
MuleSoft IDP uses AI to extract and structure data from documents like invoices and PDFs, helping automate workflows, reduce errors, and improve processing speed.
Jakarta EE 12 introduces the Data Age of Enterprise Java with Jakarta Query, improved data access, and a unified model for cloud-native and polyglot systems.
Achieve zero-downtime deployments for Java applications on Kubernetes using rolling updates, readiness/liveness probes, and graceful shutdown strategies.
Define API, event, and DB contracts upfront to enable parallel development, catch breaking changes in CI, and maintain consistent, reliable integrations.
Learn how to build an ETL pipeline with human-in-the-loop approval that costs nothing while waiting — and see real cost data from processing 1,000 documents.
An AI-native analytics agent sits between users and the data warehouse, translating natural-language questions into governed SQL or Python workflows and dashboards.
This article explains how an AI Gateway centralizes LLM access, enabling secure routing, governance, cost control, and visibility for scalable AI adoption.
Design a stateless JWT auth service with Spring Boot 3, Redis caching, and Sentinel for high availability, faster token validation, and reduced DB load.
Docker Hardened Images solve the CVE problem. But CVEs aren't why containers fail in production — governance gaps are. Here's the trust architecture that closes them.
Setting up a data catalog isn’t just a tool problem. My work with Azure Purview and Collibra showed success depends on governance, metadata, and adoption.
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