This project demonstrates a production-ready approach to deploying a containerized Quarkus API on AWS EKS/Fargate, leveraging Infrastructure as Code through the AWS CDK.
Get .NET crash dumps from AWS ECS Fargate automatically: leverage Amazon EFS, Amazon S3, AWS DataSync, and AWS Lambda to make debugging easier for your dev team.
In 2026, software teams scale delivery safely and efficiently using AI agents, semantic layers, platform engineering, supply-chain security, observability, and FinOps.
While large language models (LLMs) dominate the AI conversation, AutoML remains the king for structured data. Here’s how to choose the right tool for your infrastructure.
AI now uses diverse data types, and old pipelines struggle. Unified data flows centralize data, simplifying management and improving model training and performance.
DevSecOps embeds security into every stage of development, reducing risk, accelerating delivery, and strengthening both compliance and customer confidence.
In the first part of this series, learn how to tune the JVM for cloud workloads, optimize heap sizing, CPU usage, and more for better Java performance.
The future of CI/CD is about moving beyond simple automation to truly intelligent, autonomous systems and code flows that flow seamlessly and safely to production.
A wake‑up call for QA to upskill for platform engineering and SRE, including cloud‑native practices, automation mastery, and system reliability at scale.
Learn when Kubernetes truly solves your problems versus when it adds unnecessary complexity — and get hands-on with both local and production cluster setup.
This article discusses the power of quickly building AI agents using the Docker cagent framework, along with integrating GitHub Models to avoid vendor lock-in.