# Technical Document Extraction: KPI Performance and Incident Analysis
This document provides a detailed technical extraction of the provided time-series chart, which illustrates a performance incident involving a Host Cluster and Virtual Machines (VMs).
## 1. General Metadata
* **Image Type:** Multi-pane time-series line chart.
* **Language:** English.
* **X-Axis (Common):** Time (HH:MM format).
* **Time Range:** 00:00 to 01:50 (1 hour and 50 minutes).
* **Time Markers:** 00:00, 00:10, 00:20, 00:30, 00:40, 00:50, 01:00, 01:10, 01:20, 01:30, 01:40, 01:50.
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## 2. Component Isolation & Analysis
### Region 1: Top Pane (Alarm KPI)
This pane tracks the overall system health against a defined threshold.
* **Y-Axis Label:** Alarm KPI
* **Y-Axis Scale:** 40 to 90.
* **Legend (Top Right):**
* `---` (Red dashed line): **Alarm Threshold**
* [Pink Shaded Area]: **Host Cluster Overload**
* **Key Data Points & Trends:**
* **Baseline:** Between 00:00 and 00:40, the KPI fluctuates between 45 and 65, remaining below the threshold.
* **Incident Start:** At approximately 00:40, the line trends sharply upward, crossing the **Alarm Threshold (Value: 70)**.
* **Overload Period:** A pink shaded region highlights the "Host Cluster Overload" from approximately **00:40 to 00:58**. During this time, the KPI peaks at approximately **90** (around 00:50).
* **Recovery:** After 00:58, the line trends downward, crossing back below the threshold and stabilizing between 40 and 60.
### Region 2: Middle Pane (VM1 KPI - Root Cause)
This pane identifies the specific source of the performance degradation.
* **Y-Axis Label:** VM1 KPI (Root Cause)
* **Y-Axis Scale:** 0.2 to 1.0.
* **Legend (Top Right):**
* `---` (Grey dashed vertical line): **Begin Throttling**
* **Key Data Points & Trends:**
* **Pre-Incident:** Fluctuates between 0.4 and 0.7.
* **Surge:** Starting at 00:30, the KPI trends upward aggressively, peaking near **1.0** just before 00:40. This precedes the Alarm KPI spike in the top pane.
* **Intervention:** A vertical dashed line at **00:45** marks "Begin Throttling."
* **Post-Throttling Trend:** Immediately following the 00:45 mark, the KPI shows a consistent, jagged downward trend, eventually dropping to approximately 0.1 by 01:50.
### Region 3: Bottom Pane (VM2 KPI)
This pane shows the behavior of a secondary VM during the same period.
* **Y-Axis Label:** VM2 KPI
* **Y-Axis Scale:** 0.2 to 0.7.
* **Key Data Points & Trends:**
* **Initial State:** Highly volatile, ranging from 0.15 to 0.5 between 00:00 and 00:40.
* **Reaction to Overload:** During the "Host Cluster Overload" (00:40–00:58), VM2 KPI initially drops but then begins a steady upward trend.
* **Peak:** VM2 KPI reaches its maximum value of approximately **0.7** at roughly **01:18**, notably *after* VM1 has been throttled and the Host Cluster Overload has ended.
* **End State:** Trends downward after 01:30, ending around 0.35.
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## 3. Incident Summary & Logic Flow
Based on the visual data extracted:
1. **Trigger:** **VM1 KPI** begins a sharp ascent at 00:30, reaching maximum capacity (~1.0).
2. **Impact:** This causes the **Alarm KPI** to exceed the **Alarm Threshold (70)** at 00:40, triggering a **Host Cluster Overload** state (Pink region).
3. **Mitigation:** Technical intervention occurs at 00:45 (**Begin Throttling**), targeting VM1.
4. **Resolution:** Following throttling, VM1's KPI drops. Consequently, the Alarm KPI falls below the threshold at approximately 00:58, ending the Host Cluster Overload.
5. **Side Effect:** **VM2 KPI** shows increased activity/resource usage peaking at 01:18, suggesting a delayed resource shift or independent workload increase following the stabilization of the cluster.
