# Technical Document Extraction: Cluster Monitoring and Mitigation Workflow ## Diagram Overview The image depicts a multi-stage workflow for monitoring, analyzing, and mitigating performance issues in a cloud-based Hadoop cluster. The diagram is divided into four interconnected quadrants with directional arrows indicating process flow. --- ## Quadrant 1: Monitoring Metric Collection **Components:** 1. **Grafana** (🌞 icon) - Monitoring dashboard 2. **Prometheus** (🔥 icon) - Time-series database **Flow:** Metrics collected from these tools feed into the Data Lake via a bidirectional arrow. --- ## Quadrant 2: Storage in Data Lake **Components:** - **Data Lake** (🌥️ icon) - Raw data repository - **Data Warehouse** (📄 icon) - Structured data storage - **Data Governance Center (DGC)** (🌀 icon) - Centralized governance hub **Connections:** - DGC connects to both Data Lake and Data Warehouse via bidirectional arrows - Data Lake receives input from Monitoring Metric Collection --- ## Quadrant 3: Root Cause Analysis **Components:** 1. **KPIRoot+** (📊 icon) - Key Performance Indicator analysis tool 2. **Visualization Dashboard** (📈 icon) - Real-time monitoring interface 3. **Diagnosis Report** (📋 icon) - Automated analysis output 4. **SREs** (👨‍💻 icon) - Site Reliability Engineers **Flow:** Data from Data Lake/Warehouse → KPIRoot+ → Visualization Dashboard → Diagnosis Report → SREs --- ## Quadrant 4: Performance Issue Mitigation **Components:** 1. **Software Debugging** (🔍 icon) - Code-level analysis 2. **Hardware Repair** (🔧 icon) - Physical infrastructure maintenance 3. **Service Reboot** (🔄 icon) - Application restart 4. **VM Migration** (☁️ icon) - Virtual machine relocation **Flow:** Diagnosis Report → Mitigation actions (all four components) --- ## Cluster Architecture (Bottom Section) **Virtualization Layers:** 1. **Compute Nodes** - CPU Servers (💻 icon) - GPU Servers (🖥️ icon) 2. **Network Nodes** - Spine (🔗 icon) - Central network hub - Leaf (🌿 icon) - Edge network nodes 3. **Storage Nodes** - GPU Servers (🖥️ icon) - High-performance storage **Topology:** - Spine connects to multiple Leaf nodes - Leaf nodes connect to both Compute and Storage Nodes - GPU Servers appear in both Compute and Storage Nodes sections --- ## Key Observations 1. **Bidirectional Flow:** Data moves between Monitoring Tools and Data Lake 2. **Centralized Governance:** DGC acts as a single point of control 3. **Multi-layered Analysis:** Root Cause Analysis feeds directly into Mitigation 4. **Hardware-Software Integration:** Mitigation options cover both code and infrastructure 5. **GPU Acceleration:** GPU Servers appear in both Compute and Storage layers --- ## Spatial Grounding (Legend) - **Top-Left Quadrant:** Monitoring Metric Collection - **Top-Right Quadrant:** Root Cause Analysis - **Bottom-Left Quadrant:** Cluster Architecture - **Bottom-Right Quadrant:** Mitigation Options --- ## Language Note All textual elements are in English. No non-English content detected. --- ## Diagram Structure