Cloud-Native Architecture

Much of the dependency mocking software in use today was not designed with cloud native architectures in mind. The tools that dominate the category today were built for a world where services ...

Some of the most difficult production issues do not start with a failed service. The application is running, the database is reachable, requests are completed successfully and the monitoring dashboard is green ...

DataAgent emerged from stealth today with $10 million in pre-seed funding and an agentic AI platform designed to fix production problems inside Kubernetes environments without waiting for a site reliability engineer to ...

Artificial intelligence is changing what enterprises expect from software platforms. Systems that once processed transactions in batches are increasingly expected to evaluate events, apply intelligence and respond in near real time. The ...

The rise of cloud-native technologies—containers, microservices, serverless computing and Kubernetes—has pushed companies to think more carefully about how to control the costs associated with these technologies. As the number of organizations deploying ...

The Cloud Native Computing Foundation has graduated Kubeflow, giving the open source AI and machine learning platform CNCF’s highest maturity designation as enterprises move more AI workloads into production. Kubeflow runs on ...

Techstrong's Experts Exchange this October, Cloud Native Now: The AI Stack, and this November's KubeCon in Salt Lake City are both making the same case for cloud native and AI. The argument ...

AI agent orchestration is a distributed systems challenge. Cloud-native engineering provides the resilience, observability, security and scalability needed for production AI ...

A few years ago, it felt like Kubernetes had become the universal answer to infrastructure problems. Teams wanted resiliency? Kubernetes. Faster deployments? Kubernetes. Scalability? Kubernetes again. Eventually, the industry stopped treating cloud-native ...

Cloud-native architectures evolve faster than most test automation strategies. Understand where the gap is widest and what teams can do about it.  ...