Performance Engineering and Optimization

  1. Performance Engineering in the Software Development Lifecycle
    1. Shift-Left and Shift-Right Approaches
      1. Early Performance Considerations
        1. Continuous Feedback Loops
          1. Performance as Code
          2. Requirements and Analysis Phase
            1. Defining Non-Functional Requirements
              1. Performance Requirements
                1. Availability Requirements
                  1. Scalability Requirements
                  2. Workload Characterization
                    1. Identifying Workload Patterns
                      1. Peak vs Average Load
                        1. Seasonal Variations
                        2. User Behavior Modeling
                          1. User Journey Mapping
                            1. Session Duration and Frequency
                              1. Think Time Analysis
                              2. Performance Risk Assessment
                              3. Design and Architecture Phase
                                1. Architectural Patterns for Performance
                                  1. Layered Architecture
                                    1. Event-Driven Architecture
                                      1. Microservices Architecture
                                        1. Serverless Architecture
                                        2. Data Model Design Considerations
                                          1. Normalization vs Denormalization
                                            1. Indexing Strategies
                                              1. Data Partitioning
                                              2. Technology Stack Selection
                                                1. Language and Framework Performance
                                                  1. Third-party Dependencies
                                                    1. Platform Considerations
                                                    2. Caching Strategies
                                                      1. Client-side Caching
                                                        1. Server-side Caching
                                                          1. Distributed Caching
                                                            1. Cache Hierarchies
                                                            2. Asynchronous Processing Patterns
                                                              1. Message Queues
                                                                1. Event Sourcing
                                                                  1. CQRS
                                                                  2. Performance Design Reviews
                                                                  3. Development Phase
                                                                    1. Code-level Performance Best Practices
                                                                      1. Avoiding Anti-patterns
                                                                        1. Efficient Resource Management
                                                                          1. Memory Management
                                                                          2. Algorithm and Data Structure Selection
                                                                            1. Time Complexity Analysis
                                                                              1. Space Complexity Analysis
                                                                                1. Choosing Appropriate Data Structures
                                                                                2. Static Code Analysis for Performance
                                                                                  1. Tooling and Automation
                                                                                    1. Identifying Performance Smells
                                                                                      1. Code Review Guidelines
                                                                                      2. Performance Unit Testing
                                                                                      3. Testing Phase
                                                                                        1. Integration of Performance Testing
                                                                                          1. Test Environment Parity
                                                                                            1. Test Data Preparation
                                                                                              1. Continuous Performance Testing
                                                                                              2. Performance Test Automation
                                                                                                1. Performance Regression Testing
                                                                                                2. Deployment and Operations Phase
                                                                                                  1. Capacity Planning
                                                                                                    1. Forecasting Resource Needs
                                                                                                      1. Scaling Strategies
                                                                                                        1. Resource Provisioning
                                                                                                        2. Continuous Monitoring
                                                                                                          1. Instrumentation
                                                                                                            1. Feedback into Development
                                                                                                              1. Performance Dashboards
                                                                                                              2. Performance Incident Response

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                                                                                                            2. Fundamental Concepts and Metrics

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                                                                                                            4. Performance Modeling and Forecasting