EPIC Goal

This Epic covers the end-to-end analysis of performance test results from large-scale environments. The objective is to identify system constraints, validate architectural limits, and provide actionable optimization recommendations.

The primary objective of this Epic is to transform raw data from large-scale performance scenarios into actionable technical insights.

• Identify Critical Bottlenecks: Pinpoint specific resource constraints (CPU, Memory, I/O) and software contention points (locks, slow queries) within the scaled environment.

• Validate Scalability Limits: Determine the exact point of system degradation to ensure architectural targets are met.

• Correlate Metrics to Root Causes: Map high-level performance spikes to specific code paths, infrastructure configurations, or database behaviors.

• Deliver Optimization Roadmap: Provide a prioritized list of tuning recommendations and architectural fixes to improve system stability and throughput.

Background/Feature Origin

Why is this important?

User Scenarios

Dependencies (internal and external)

Acceptance Criteria

Release Enablement/Demo - Provide necessary release enablement details
and documents

DEV - Upstream code and tests merged: <link to meaningful PR or GitHub
Issue>

DEV - Upstream documentation merged: <link to meaningful PR or GitHub
Issue>

DEV - Downstream build attached to advisory: <link to errata>

QE - Test plans in Playwright: <link or reference to playwright>

QE - Automated tests merged: <link or reference to automated tests>

DOC - Downstream documentation merged: <link to meaningful PR>