Contributed Content
What Test Automation Tools Need to Handle When AI is Generating Cloud-Native Code at Scale
AI coding assistants change what test automation tools need to handle in cloud-native environments. Explore where the gaps concentrate and what to address ...
The Pipeline That Thinks: Building an AI-Powered DevSecOps Pipeline on AWS EKS
The organizations building pipelines that think, review, secure, monitor and recover, are defining what the next baseline looks like ...
Self-Healing Kubernetes Gets Real—and Risky: Running AI Agents on Amazon EKS
For years, “self-healing Kubernetes” meant a liveness probe restarting a crashed pod. In 2026 it means something far more literal: an autonomous agent that reads your cluster’s logs and metrics, forms a ...
How AI SaaS Platforms Are Transforming Cloud-Native Applications
By combining the scalability of cloud-native architecture with the intelligence of AI, businesses can create applications that are not only efficient but also adaptive and future-ready ...
Red Hat OpenShift as a Hybrid Engine for GitOps Driven Application Modernization
Using Red Hat OpenShift as a hybrid engine for GitOps-driven application modernization is less about a single product choice and more about establishing a consistent, Git-centric way of working across diverse infrastructures ...
Cloud-Native’s Interest Payment Just Came Due
We spent a decade telling each other that cloud-native was how you move fast. Break the monolith into services. Put everything in containers. Declare your infrastructure. Add a service mesh, a GitOps ...
Why Kubernetes Cost Allocation and Cloud Bills Don’t Match
A few months ago, I found myself looking at a Kubernetes cost report and a cloud invoice side by side. The numbers didn’t match. Not because of a bug or a calculation ...
Rediscovering RocksDB – Embedded Storage in Cloud-Native Applications
Originally developed at Facebook and built on top of LevelDB, RocksDB is an embedded key-value store designed for fast local storage ...
GitOps Wasn’t Built for Models, and It Shows
GitOps won the deployment argument. Everything goes in Git, the cluster reconciles itself to match, and your repository becomes the one place that tells you what’s actually running. It’s clean and auditable ...
GitOps in Practice: How to Design a Scalable CI/CD Pipeline with GitLab and GKE
A scalable CI/CD pipeline on GitLab and Google Kubernetes Engine starts with one decision: do you treat the pipeline as a delivery system you design, or as a YAML file you copy ...
