AI tools for “kubernetes”
48 results (tools & skills) · 430 ms · understood as by meaning
…operational lifecycle, containerised app without operating Kubernetes, several services sharing a managed cluster, managed EKS without kubectl. Covers web and worker applications on EC2, and containerised single- and…
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated 🎉 Kubeflow is now a CNCF graduated project — Read more × Kubeflow Join us at KubeCon NANovember 9-12, Salt Lake City,…
…- Managing general cloud infrastructure (VMs, networks, Kubernetes, IAM policies), which are better suited for Terraform. - Infrastructure spans multiple cloud providers (AWS, Azure, etc.). - Already uses Terraform…
…active-active, active-passive, CI/CD separation, Helm/Kubernetes install planning, or reference architecture (live WebFetch from jfrog.com/reference-architecture). Do NOT use for artifact search or download,…
…DAG in airflow/dags/workflows/ covers, and asks for a new Kubernetes DAG. Also use to check that a generated or existing DAG's model/container/prompt choices match an external spec document (e.g. a CDF…
Build apps, APIs, and MCP servers with AI, in XanoScript, or in the Xano editor. Test, deploy, and observe everything you ship on Postgres and Kubernetes.
…NVIDIA services (BlueMan, HBN, SNAP, Virtio-net), or full Kubernetes-cluster…
Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken…