linkedin / linkedin/parseq

Statistical trace analytics

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#146 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Java
Stars
1.2k
Forks
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Description

This task involves processing a sample of traces from production traffic and building performance model out of it. It should allow:
- detecting blocking tasks
- identifying bottlenecks and problems e.g. through critical path analysis
- building interactive performance model that would allow what-if analysis and focus on optimization of specific type of work e.g. what do I need to improve in order to improve 99th percentile latency

Contributor guide

No contributing guide indexed for this repository

Research direction

No files, tests, or entry points are identified in the issue, so start by locating the trace-processing and analytics entry points in the repository. Done would require a production-trace analysis capability that detects blocking tasks, identifies bottlenecks through critical-path analysis, and supports interactive what-if performance modeling.

Written by the indexing model from the issue text.

Assessment

Tech stack
java
Domain
observability, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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