Performance Testing Theory 1 | Sorting out difficult problems in performance testing

1 Test Tool Aspects

User and business model analysis and construction

Appropriate script development (do not develop scripts based on user and business models, and think that it is necessary to return to success)

Transform appropriate requirements analysis into scenario design (do not know how to design scenarios according to requirements)

Data generation and use for high-volume systems

Performance stress loading and implementation of large systems

Load Generation and Implementation of Cloud Computing

2 Test Fundamentals

Assessing needs

Load Modeling (User and Business Model)

The principle of performance pressure generation and the relationship between concurrency, etc.

Performance test cases

Analysis of new system requirements

Capacity Planning

Performance Testing Strategy

3 Server Performance Diagnostics

What is the difference between a process and a thread task?

Thread interrupt priority and principle?

The life cycle of a process?

Context switch?

What is the difference between I/O-bound and CPU-bound workloads?

Conversion between production environment and test environment?

Relational database architecture and logic optimization and non-relational database architecture and logic optimization?

Use of transactional and analytical databases?

Data relationship modeling and design?

TOP NO SQL diagnosis and optimization (execution path, index and table link optimization, etc.)?

Prevent and eradicate blocking and deadlocks?

Hot spot prevention and positioning optimization?

Batch caching/asynchronization of business data?

Database configuration optimization?

4 performance tuning aspects

The relationship and principle between system hardware resources (CPU, network, memory, IO)

Choose reliable performance indicators and their correlation and judgment methods

The implementation principle and common mistakes of never downtime

The optimization relationship between queuing system and delay and cache

Optimized cost and price performance

Operational implementation of business optimization

The principle and test isolation of multiple systems in series

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