Cloud Native Computing Foundation

Once upon a time, upgrading a Kubernetes control plane meant staying awake for it.

SSH into every node. Run the upgrade by hand. Watch etcd health the whole time, hoping quorum holds through every reboot.

This week I found out whether the pipeline I built actually ends that story.

This mgmt cluster is where everything...

Dragonfly speeds up file and container image distribution using peer-to-peer (P2P) technology, but a standard installation deploys several components and dependencies. Beyond the Scheduler, Seed Client, and Client that move data, a traditional setup requires a Manager for dynamic configuration, backed by MySQL and Redis. While that architecture fits platform teams running Dra...

A few years ago, getting a model into production meant a data scientist, a DevOps engineer, and a narrow set of tools: train it, test it, ship it, watch the dashboards. Large language models broke that picture. The thing being “operated” is now a system that chains prompts, calls vector databases, and produces open-ended text judged on tone and safety, not just accuracy. That...

As parents in tech, we’ve learned that neither children nor applications thrive without clear boundaries. There are no “good” or “bad” kids, just as there are no inherently “good” or “bad” applications, only behaviors shaped by the guardrails around them. In parenting, we establish rules to encourage safe, responsible decisions while still allowing independence. Modern cloud-...

The rise in the number of tools available for creating and running AI content has lowered the barrier of entry and offered the flexibility of choice when choosing the appropriate solution for a given use case. However, one such challenge that has emerged, especially in the AI model management space, is that there is often a tight coupling between the tool and how it manages m...