AI tools for “kubernetes”
41 results (tools & skills) · 225 ms · understood as by meaning
Reliably lighten the Kubernetes Troubleshooting and Monitoring Workload for your DevOps and Developers. Responsive No items found.DocsCase studyBlogGet StartedKubernetes has entered the chatKubernetes Troubleshooting…
Kubernetes execution platform — submits TAO container jobs as k8s Jobs with NVIDIA GPU scheduling; single-pod for one node, Indexed Jobs for multi-node distributed training. Use when running on EKS / GKE / AKS / on-prem…
No description in the SKILL.md.
K8sGPT is an AI-powered tool that helps diagnose and fix Kubernetes issues with intelligent insights and automated troubleshooting.
Optimize your Kubernetes clusters with AI-powered recommendations and real-time insights. 0PTIKUBEFeaturesDemoTeamContactView on GitHubVisualize Your Kubernetes InfrastructureA powerful, intuitive visualization tool…
Open-source Kubernetes UI with a built-in MCP server for AI agents. Diagnose Issues, understand Applications, and trace topology, events, GitOps, and traffic.
Powerful model serving and orchestration for your AI & ML projects, without the hassle of managing Kubernetes & cloud infrastructure.
GenAI-Powered Monitoring & Observability Built for Kubernetes at Scale KubeHA is the first-of-its-kind GenAI-powered SaaS platform offering everything you need for Monitoring, Observability, Remediation, and Exploration…
K8Studio is an agent-free desktop Kubernetes IDE that brings clusters, ArgoCD, Grafana, and Prometheus into one workspace. Multi-cluster management from Basic, with CloudMaps visualization, AI Copilot, RBAC, and Helm in…
Kubernetes-native, high-performance distributed LLM inference Skip to main content🎉 llm-d 1.0 is here! State-of-the-art inference, ready for production operations: multi-tenant quality of service, zero-downtime…
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,…
Open-source agent runtime with SSH-native isolation. Each agent gets a persistent, network-isolated box on Kubernetes or LXC — no kube-apiserver token, eBPF egress policy, MCP server built in. Self-hostable, Apache 2.0.
Create ER, UML, Kubernetes, and network diagrams from text with our advanced AI diagram generator, compatible with Draw.io and Visio. Try it for free!
Setting up and running Qdrant Hybrid Cloud on your own Kubernetes cluster (managed, on-prem, or edge): prerequisites, storage/CSI and backups, installing the Qdrant Cloud agent and operator, creating/exposing/securing…
Monitor hosts, Docker containers, Kubernetes clusters, database/queue/cache servers, and cloud-provider metrics with Pydantic Logfire — no application code required. Use this skill whenever the user asks to "monitor my…
Builds and deploys containerized workloads on Elastic Kubernetes Service (EKS), Elastic Container Service (ECS), Fargate, and ECR (Elastic Container Registry). Covers general EKS knowledge, Karpenter, AWS Load Balancer…
…Container Toolkit versions for Docker/local-Docker and Kubernetes GPU worker hosts. TAO-wide defaults can be overridden by the selected model's runtime profile. The `--check-only` path works on any Linux…
…a Cosmos Data Factory (CDF) Orchestration checkout and its Kubernetes or OSMO environment are ready to install the controller and run every packaged DAG. Use for prerequisite, pre-setup, Kubernetes, GPU, RWX/NFS,…
dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters.
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.