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Karpenter

Karpenter with Meshery

Collaborative and visual infrastructure as design for Karpenter

Features

  • Watching for pods that the Kubernetes scheduler has marked as unschedulable
  • Evaluating scheduling constraints (resource requests, nodeselectors, affinities, tolerations, and topology spread constraints) requested by the pods
  • Provisioning nodes that meet the requirements of the pods

Overview

Karpenter is an open-source node provisioning project built for Kubernetes. Adding Karpenter to a Kubernetes cluster can dramatically improve the efficiency and cost of running workloads on that cluster.

Collaboratively and visually diagram your cloud native infrastructure with GitOps-style pipeline integration. Design, test, and manage configuration your Kubernetes-based, containerized applications as a visual topology.

Looking for best practice cloud native design and deployment best practices? Choose from thousands of pre-built components in MeshMap. Choose from hundreds of ready-made design patterns by importing templates from Meshery Catalog or use our low code designer, MeshMap, to create and deploy your own cloud native infrastructure designs.

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Karpenter Components (2)

Kubernetes Orchestration and Diagramming software

Orchestrate and design Kubernetes architecture diagrams easily with predefined templates and symbols designed for professionals.

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    Extensive library of integrations
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    Infrastructure orchestration
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    Multi-player editing
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    Ready-to-use templates
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    Visual drag & drop
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    Operate with No Code

How it Works

See It in Action

Better together - Karpenter with Meshery

Using Meshery and Karpenter, once your Kubernetes cluster and the Karpenter controller are up and running

Set up provisioners: By applying a provisioner to Karpenter, you can configure constraints on node provisioning and set timeout values for node expiry or Kubelet configuration values. Deploy workloads: When deploying workloads, you can request that scheduling constraints be met to direct which nodes Karpenter provisions for those workloads.

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Related Integrations

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