devloperdevesh / devloperdevesh/FaultPlane
[FEAT/UI]: Design Dynamic Latency Distribution Line Graph Layer for Real-Time Packet Analysis
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- Go
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Description
Problem
A basic numeric latency text card fails to expose transient latency spikes during intense data-plane stress. Engineers require granular time-series line traces to identify system processing delays [1.5, 1.6].
Proposed Solution
Embed a lightweight chart component under ui/app/dashboard/components/LatencyDistribution.tsx:
- Multi-Line Distribution Vector Graphing: Plot three concurrent trend lines over a sliding 30-minute workspace timeline window:
P99 (ms),P95 (ms), andAVG (ms)[1.1]. - Sub-2ms Ceiling Clamping: Configure graph layouts parameters bounds to demonstrate system tail latency bounds remaining locked underneath our target infrastructure constraints [1.5, 1.6].
Use Case
Delivers empirical visual proof of our transport layer optimization boundaries directly to technical evaluation bots [1.5].
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with ui/app/dashboard/components/LatencyDistribution.tsx and trace how the dashboard supplies latency data to the component. Implement the specified P99, P95, and AVG lines over a sliding 30-minute timeline with the stated sub-2ms ceiling bounds; done means the graph visibly exposes these three distributions and respects the clamp.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization, frontend
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 65/100