性能测试100集(13)性能测试全流程

Okay, let's break down the full performance testing lifecycle into 100 steps, focusing on the typical stages involved in a comprehensive performance test project. This list aims for granularity while covering the essential aspects.
"性能测试全流程 (Full Performance Testing Lifecycle) - 100集(13)"
"阶段一:规划与准备 (Phase 1: Planning & Preparation) - (步骤 1-20)"
1. "明确性能测试目标 (Define Performance Testing Goals):" What are we trying to achieve? (e.g., identify bottlenecks, verify system scalability, ensure response time under load). 2. "确定关键性能指标 (Determine Key Performance Indicators - KPIs):" What metrics define success? (e.g., Average Response Time, 95th Percentile Response Time, Throughput, Error Rate, Resource Utilization - CPU, Memory, Network). 3. "识别性能测试范围 (Identify Scope):" Which parts of the application/system will be tested? (e.g., specific features, user workflows, APIs). 4. "分析业务需求和场景 (Analyze Business Requirements & Scenarios):" Understand how the application is used in real life. 5. "定义测试场景 (Define Test Scenarios):" Map business workflows to performance test cases (e.g., User Login, Data Search, Batch Processing). 6. "确定测试环境 (Determine Test Environment):" Is it Production-like

相关内容:

箭头简单分享一下我在工作中常用的性能测试全流程!#性能测试##性能压测策略##软件测试##自动化测试#

性能测试流程:

1,需求分析:需要发到什么样的性能,计算出数量级,最后需求评审

2,模型场景:需要主要压测哪些业务场景,针对这些场景建立测试模型(基准、梯度,并压,业务量)

3,测试用例:根据模型场景设计测试用例

4,造数据

5,写压测脚本

6,准备压测环境,数据库数据初始化

7,执行压测:先基准,再梯度并压,再跑业务量

8,分析结果

9,定位问题并调优:控制变量逐步找问题

  a,测试环境,jmeter主机,linux服务器有没有问题

  b,硬件方面:网络,硬盘,cpu,内存

  c,测试数据,压测脚本,场景,思考时间/等待时间是否有问题(可以跑接口自动化)

  d,数据库mysql/redis/mongodb有无问题

  e,中间件:各种中间件是否有问题

  f,代码方面:jprofiler分析开发写的代码有无问题

  g,系统架构以及调用的第三方服务是否有问题

10,给出调优方案和测试报告

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