Build long-running workflows by separating orchestration from execution, persisting state, and using events or callbacks to pause and resume without holding compute.
Microservices solve scalability problems but introduce troubleshooting nightmares. Here is a practical architectural pattern to unify logs, metrics, and traces.
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.
This tutorial demonstrates automated deployment using a CI/CD pipeline with Mule 4. It shows how code pushed to a Git repository triggers deployment automatically.
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.