Cloud-Native Development

Kubernetes autoscaling works best when teams match the metric to the workload: queue latency for synchronous web traffic, queue depth for background jobs ...

Giving an AI agent the power to change a cluster is now straightforward. Confirming the change landed, did not produce unintended duplicate effects and achieved the outcome the operator actually wanted is ...

A practical way for platform teams to use AI for faster Kubernetes triage without giving agents unsafe control of the cluster. The first time an AI tool gets real cluster context, the ...

Enterprise AI is settling onto the cloud native stack, and the strongest evidence is not a vendor roadmap. It is what the ecosystem has already standardized ...

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 ...

Like many of its fellow projects in the open source community, Kubernetes has seen an increase in pull requests, many of which are no doubt generated by AI.  This week’s release of ...

Echo today revealed it has acquired technology assets from Minimus, a provider of hardened open source container images, that earlier this week revealed it is shutting down. Those assets will later be ...

For a long time, prompt injection was treated like other model behavior problems, such as jailbreaks or strange responses. The usual fix was to improve the system prompt, add stronger filters, or ...

KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs ...

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 ...