devloperdevesh / devloperdevesh/FaultPlane

[Feature/Dashboard] Architect High-Fidelity Multi-Tenant Socket Splice HUD & Telemetry Dashboard Core

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enhancement frontend-ui good first issue telemetry-polling
Dominant language
Go
Stars
2
Forks
1
Avg merge
14m
Merged PRs (30d)
57

Description

Architectural Objective

Establish a high-fidelity visual operation control cockpit to stream real-time transport-layer telemetry data natively without introducing application-layer tracing overhead.

Technical Specifications
  1. Dynamic Topology Grid: Build a Next.js 15 web interface streaming binary delta metrics tracking active Linux Layer 4 connection descriptors mapping.
  2. Splice Telemetry Mapping: Visually trace <2ms descriptor hot-swapping sequences across multi-node clusters during transient node crashes.
  3. Contention HUD Metrics: Display real-time CPU cache-line false sharing parameters and lock-free circular pointer saturation index directly from internal/storage/ring_buffer.go.
  4. Zero-Trust Access Fields: Implement multi-tenant workspace isolation using secure cryptographic access keys to protect volumetric infrastructure data.

Live Target Endpoint: https://faultplane.vercel.app/

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the live target endpoint and the telemetry source identified at internal/storage/ring_buffer.go. Map the proposed Next.js dashboard requirements to the available transport and ring-buffer data, then determine how multi-tenant access keys and cluster failover visualization fit together. Done means the specified topology, splice, contention, and access-control views stream the required telemetry without application-layer tracing overhead.

Written by the indexing model from the issue text.

Assessment

Tech stack
go, linux, next.js
Domain
backend, distributed-systems, frontend, observability, security
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
25/100

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