Node Viewer EKS

A lightweight tool to visualize Node.js workloads on an EKS cluster, helping developers, DevOps engineers, and operators understand node and pod relationships.

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Om dette verktøyet

The tool visualizes the topology of Node.js workloads running on an Amazon EKS cluster by querying the Kubernetes API and mapping resources such as nodes, pods, deployments, and services into a graph. It is designed for DevOps engineers, platform teams, and developers who need a quick, read-only view of how compute resources host Node.js processes without modifying the cluster.\n\nConceptually it constructs a data model where nodes represent compute units, pods are container instances, deployments own pods, and services expose endpoints. Users can filter by namespace or labels and focus on specific resource kinds. The system runs entirely client-side or server-side depending on deployment and returns a topology structure suitable for integration with other tooling.\n\nThe value proposition is fast cluster understanding, simplified debugging of scheduling issues, and improved capacity planning for Node.js apps. By abstracting Kubernetes relationships into a clear map, teams can see which nodes host the most pods, identify imbalance patterns, and quickly locate failing components. Core features include topology graph construction, filtering options, and export-ready data.\n\nUse cases include on-call troubleshooting, capacity modeling, and pre-migration assessments. The tool operates in read-only mode and does not mutate resources. It is provider-agnostic for EKS and interoperates with standard Kubernetes authentication methods, enabling safe analysis across multiple contexts.

Hvordan bruke

  1. Provide inputs: supply kubeconfig or cluster API endpoint, and select a context.
  2. Configure scope: namespace, label selectors, and resource kinds to include.
  3. Run viewer: fetch topology and build graph data.
  4. Review outputs: examine node-to-pod mappings, deployment ownership, and service endpoints.
  5. Export results: save JSON graph or CSV summary for downstream analysis.
How to use node viewer eks

Frequently Asked Questions

Finn raske svar

What data sources does the tool use?
It reads the Kubernetes API via kubeconfig or cluster endpoint with read-only RBAC to fetch topology data. No changes are made to the cluster.
Can it connect to multiple clusters?
Yes. The tool supports multiple contexts and allows switching which context is visualized without altering cluster state.
What outputs can be exported?
Exportable formats include a JSON topology graph and a CSV summary of nodes, pods, and deployments for offline analysis.
Is metric data collected?
The tool focuses on topology and relationships; it does not collect performance metrics unless integrated with external monitoring sources.

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