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Computer Science
DevOps and SRE
Performance Engineering and Optimization
1. Introduction to Performance Engineering
2. Fundamental Concepts and Metrics
3. Performance Engineering in the Software Development Lifecycle
4. Performance Modeling and Forecasting
5. Performance Testing Methodologies
6. System Monitoring and Observability
7. Performance Analysis and Tuning
8. Performance in Modern Architectures
9. Advanced Performance Topics
10. Tools and Technologies
11. Performance Engineering Best Practices
System Monitoring and Observability
The Three Pillars of Observability
Metrics
System Metrics
Application Metrics
Business Metrics
Custom Metrics
Logs
Log Aggregation
Log Analysis
Structured Logging
Log Correlation
Traces
Distributed Tracing
Trace Collection
Trace Visualization
Trace Sampling
Monitoring Strategies
Black-Box Monitoring
Synthetic Transactions
External Probes
User Journey Monitoring
White-Box Monitoring
Internal Instrumentation
Application Health Checks
Code-level Metrics
Hybrid Monitoring Approaches
Application Performance Monitoring
Code-level Visibility
Function Tracing
Exception Tracking
Performance Profiling
Transaction Tracing
End-to-End Request Tracking
Latency Breakdown
Transaction Flow Analysis
Dependency Mapping
Service Dependency Graphs
Upstream and Downstream Analysis
Critical Path Identification
Error Tracking and Analysis
Infrastructure Monitoring
Server Metrics
CPU Utilization
Memory Usage
Disk I/O
Network I/O
Hardware Health
Network Metrics
Latency
Jitter
Packet Loss
Network Topology
Container and Orchestration Metrics
Container Resource Usage
Orchestrator Events
Pod Performance
Cloud Infrastructure Metrics
Real User Monitoring
Client-side Performance Metrics
User Experience Analysis
Core Web Vitals
Mobile Performance Monitoring
Alerting and Anomaly Detection
Threshold-based Alerts
Statistical Anomaly Detection
Machine Learning-based Detection
Incident Response Workflows
Alert Fatigue Management
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5. Performance Testing Methodologies
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7. Performance Analysis and Tuning