AngusTester Error Diagnosis and Resource Bottleneck Identification Guide

Why Analyze Errors and Resource Bottlenecks

Diagnosing errors and resource bottlenecks is critical for system health:

1. Stability Assurance: Detect and fix potential failure points before production crashes
2. Performance Optimization: Pinpoint bottlenecks for targeted improvements
3. Cost Control: Prevent resource over-provisioning and optimize ROI
4. Capacity Planning: Provide data-driven basis for system scaling
5. SLA Compliance: Ensure critical service level agreement metrics are met

Diagnosis and Analysis Workflow

⚡ Error Analysis Workflow

1. Identify high-error time windows
2. Analyze error type distribution
3. Correlate status code patterns
4. Trace logs to locate root cause

⚡ Performance Baseline Establishment

1. Create zero-latency benchmark interface
2. Capture network-layer performance data
3. Eliminate business logic interference

Professional Error Analysis Process

1. Global Error Trend Analysis

• Key Observation Metrics:
  • Total error trend curve
  • Error rate change pattern
  • Error occurrence time distribution

2. Root Cause Classification

Error Type Diagnosis Matrix:

Error Category	Typical Causes	Resolution Suggestions
Connection Timeout	Network interruption/firewall restrictions	Check network config & security policies
Service Denial	Service overload/thread pool exhaustion	Scale nodes/adjust thread pool config
Protocol Error	API changes/version incompatibility	Validate API compatibility
Data Validation Failure	Data format changes/validation logic updates	Update test dataset
System Exception	Memory leaks/resource exhaustion	Resource monitoring & troubleshooting

3. HTTP Status Code Analysis

Key Status Code Diagnosis Guide:

• 4xx Client Errors:
  • 401/403: Authentication/authorization issues
  • 404: API path changes
  • 429: Rate limiting triggered
• 5xx Server Errors:
  • 500: Unhandled server exceptions
  • 502/503: Upstream service unavailable
  • 504: Service response timeout

Precise Resource Bottleneck Identification

1. CPU Resource Analysis

CPU Metric Interpretation Table:

Metric	Healthy Range	Risk Threshold	Symptoms	Optimization Suggestions
User-space CPU	<60%	>75%	High app logic consumption	Code optimization/thread control
System-space CPU	<20%	>40%	High kernel scheduling overhead	System tuning/interrupt optimization
I/O Wait CPU	<10%	>30%	Storage bottleneck	SSD upgrade/IO scheduler tuning
Idle CPU	>25%	<10%	Resource shortage	Node scaling
Total Utilization	<75%	>85%	Overall overload	Service decomposition/load balancing

2. Memory Resource Analysis

Memory Problem Diagnosis Tree:

• High Memory Usage:
  • Application memory leak → Heap analysis tools
  • Excessive cache usage → Cache strategy optimization
• Abnormal Swap Usage:
  • Physical memory shortage → Memory scaling
  • Incorrect swap configuration → Adjust swappiness

3. Storage Performance Analysis

• IOPS Throughput Analysis Focus: Peak R/W operation frequency vs response latency correlation

• Data Throughput Analysis Key Diagnosis: Data transfer bandwidth vs network capacity matching

Storage Optimization Matrix:

Problem Type	Detection Method	Optimization Strategy
IOPS Bottleneck	Monitor R/W operation frequency	SSD upgrade/RAID optimization
Throughput Limit	Check data transfer rate	Striped storage/10GbE network
High Latency	Track IO response time	Cache strategy/filesystem tuning

4. Network Traffic Analysis

Network Diagnosis Metrics:

Metric	Healthy Standard	Problem Indicator	Optimization Suggestions
Inbound Traffic	<80% bandwidth	Sustained exceedance	Bandwidth scaling/CDN implementation
Outbound Traffic	<80% bandwidth	Sustained exceedance	P2P optimization/data compression
Packet Error Rate	<0.1%	>1%	Driver update/hardware check
Connection Count	<80% max	>90%	Connection pool tuning/port expansion

Expert Optimization Recommendations

1. Correlation Analysis Principle:

   • Correlate error spikes with resource usage peaks
   • Monitor error rate vs response time correlation

2. Capacity Planning Formula:

Required Nodes = (Current Peak TPS × Growth Factor) / (Max TPS per Node × Redundancy Factor)

3. **Monitoring Alert Strategy**:
 - Error rate >0.1% for 5+ minutes triggers warning
 - CPU >80% for 10+ minutes triggers scaling alert
 - Memory usage >85% triggers leak detection

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