Platform engineering is backward: 80% portal building, 20% path paving. Flip it. Golden paths reach 95% adoption by making the right thing the easiest.
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.
This article shows how to use the Aho–Corasick algorithm and deterministic tokenization in Spring Boot to intercept logs in real time, remove sensitive values.
Learn about logging challenges after migrating UiPath Orchestrator to Automation Cloud and robot-level log ingestion as a scalable observability approach.
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.
Small language models (SLMs) enable faster, efficient, and on-device AI, reducing costs while making advanced AI accessible to more users and businesses.
In this post, learn how to build scalable, reliable retail data pipelines with Google Cloud: Pub/Sub, Dataflow, BigQuery, and Cloud Composer in action.
Update edge AI models efficiently using Mix Up and contribution sampling to overcome domain shift with minimal data, ensuring continuous evolution without forgetting.
Data engineers who think like product managers build more valuable, trusted, and user-centric data systems; they focus on outcomes, ownership, and UX, not just pipelines.