Practice Green AI by tracking GPU-hours, energy, and cost for every ML run, so you pick models that are not just accurate, but also cheaper, leaner, and greener.
DevOps pipelines are often automated, yet the operations side remains surprisingly manual. Here’s a framework to reduce toil using AIOps and the SECI model.
A clear-eyed breakdown of serverless costs — why they’re hidden, when they make sense, and how to choose between functions and containers before surprises hit your bill.
Apps self-managing files often implement custom APIs that bring different problems. Java's File System provides a way to self-manage files within standard Java APIs.
Jakarta EE 12 aligns repositories, restrictions, queries, ORM, and NoSQL into a unified data model, making domain-centric data access a first-class platform feature.
Deployment failures cost millions and exhaust teams. Learn how software deployment automation helps prevent release issues and ensures smoother launches.
A guide comparing Fixture and Lazy patterns in test automation, showing how on-demand object creation improves performance and scalability in Playwright frameworks.
Manual ticket routing is a hidden tax on IT efficiency. Here is an architectural pattern for using Logistic Regression and Skype status APIs to automate this.
Use a query router for LLM analytics — Redshift (KPIs), OpenSearch (definition), Neptune (lineage), and Cache (repeats) — to improve accuracy, latency, and costs.
Learn context engineering to build better AI apps. This guide covers key techniques, practical examples, and resources to master this essential AI skill.
NetOps teams often face a skills gap when troubleshooting complex infrastructure. This article presents an automation pattern for an AI co-pilot for incident response.