Achieve zero-downtime deployments for Java applications on Kubernetes using rolling updates, readiness/liveness probes, and graceful shutdown strategies.
An AI-native analytics agent sits between users and the data warehouse, translating natural-language questions into governed SQL or Python workflows and dashboards.
CV data issues keep recurring. I built cv-quality — a toolkit to audit datasets, catch annotation errors, find mislabeled samples, and streamline labeling.
Delta often performs better for Spark workloads, while Iceberg tends to be stronger for a multi-engine environment. The right choice depends on your platform use case.
Imagine querying your domain using simple attribute filters, without building queries or learning a query language, and getting the result back as JSON.
SonarQube automatically detects bugs and security in Java applications through static code analysis to improve code quality and enforce secure coding practices.
Learn how sql-flex-query lets you write once, run anywhere — with full TypeScript support and zero runtime overhead. Support SQL queries for multiple databases
This article explores designing AI agents in Java for intelligent healthcare systems using event-driven architectures for secure, scalable data processing.
Have you ever needed to generate OpenAPI documentation directly from your code and, more importantly, do it in a way that fits cleanly into a CI pipeline?
Swift concurrency eliminates data races with actors, but reentrancy and the runtime model mean you still need to think carefully about state and execution.
CORE
