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Computer Science
Microservices
Reactive Microservices
1. Foundations of Reactive Systems
2. Core Concepts of Reactive Microservices
3. Architectural Patterns and Design
4. Implementation and Technologies
5. Testing Reactive Systems
6. Observability and Monitoring
7. Deployment and Operations
Observability and Monitoring
The Three Pillars of Observability
Distributed Tracing
Trace Context Propagation
End-to-End Request Tracking
Span Relationships
Trace Sampling
Metrics
System Metrics
CPU Usage
Memory Usage
Network I/O
Application Metrics
Request Rates
Response Times
Error Counts
Custom Metrics
Business Metrics
Domain-Specific Metrics
Logging
Structured Logging
Log Aggregation
Correlation IDs
Log Levels and Filtering
Monitoring Key Performance Indicators (KPIs)
Latency
Average Latency
Percentile Latency
Tail Latency
Error Rates
Failure Rate Calculation
Alert Thresholds
Error Classification
Throughput
Requests per Second
Message Processing Rate
Transaction Volume
Saturation
Resource Utilization
Bottleneck Identification
Capacity Planning
Alerting and Visualization
Dashboards
Real-Time Monitoring
Historical Analysis
Service Health Overview
Anomaly Detection
Threshold-Based Alerts
Machine Learning Approaches
Trend Analysis
Alert Management
Alert Routing
Escalation Policies
Alert Fatigue Prevention
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5. Testing Reactive Systems
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7. Deployment and Operations