Nodeexporter_Promethius_Grafana

This course is a practical course of Jmeter advanced performance test project, which covers the performance test theory, performance test resource monitoring, performance test bottleneck positioning, and performance test resource tuning. Through the comprehensive project performance analysis (involving the monitoring, analysis, and tuning of JVM, middleware, and database), we can comprehensively master the software performance test technology, Help you to successfully upgrade to a performance test master.

From the perspective of performance testing architecture, this course analyzes the theoretical knowledge of performance testing, explains in detail the transformation process from business statistics to scenarios, and focuses on analyzing various aspects of performance testing tools, performance monitoring tools, performance analysis tools, performance debugging tools, and report output. It is suitable for every test engineer who wants to improve performance testing technology.

The larger the Internet enterprise, the more obvious the performance bottleneck, and the more important the performance test, which is the core pain point of the enterprise.

This course helps you solve:

1. IT system performance challenges:

• Massive traffic, high concurrency peak

• Complex business logic, frequently updated

• High real-time requirements, and millisecond competition

• Large user base, hundreds of millions of users

2. What kind of performance test is valuable for the difficulties of performance test and quality assurance team?

• How to interpret various performance data and graphs?

• The performance test has been done, and the system still crashes once it goes online?

• Server costs are high. How to determine the effective host capacity to save costs?

3. How to judge the effectiveness of one-time test?

• Is the scenario reasonable?

• Is the pressure transmitted evenly or reaches the specified goal?

• Is there any interference factor?

• Is there any reliable judgment method?

4. Problems in current performance test:

• Testing without adjustment, unable to give implementation suggestions to R&D and O&M personnel

• Unable to locate the problem, lacking clear logic and data to prove the value

• Performance test tool is not equal to performance test

• There should be clear data to prove the effect of performance testing and tuning

• Build a pressure test system through automated testing

• Full link pressure test of the whole business chain

What are the expectations of famous enterprises for performance test engineers?

Senior performance testing talents who are proficient in performance testing and familiar with performance optimization at all levels

Performance testing and analysis optimization include:

• Code optimization

• Operating system OS

• data base

• storage

• Application server or middleware

• network

• Pressure test

• Monitoring and analysis tools

• cache

• queue

• Web server

• Big data technology