In recent years, during the enterprise digital transformation process, enterprises have gradually updated and iterated their business systems. To ensure the stability of business systems, capacity testing, i.e., pressure testing, is generally conducted before business systems go live. However, most enterprises only test through open-source tool JMeter within the internal network. During pressure testing, they mainly observe server resource usage under different pressure values, neglecting the business itself, resulting in inability to guarantee business stability after system launch, with various problems occurring.Pressure testing has inherent unpredictability of results. Even the best pressure testing plans will greatly diminish effectiveness if effective data cannot be obtained for analysis. Especially in complex, deep system environments, achieving observability of the entire pressure testing process through obtaining full-link tracing data and metric data appears particularly important.
Through TingYun's observable hybrid full-link pressure testing solution, use real users' network environments and devices to initiate concurrent pressure. Simultaneously combine TingYun's active and passive multiple telemetry methods to collect user side, network layer, server side, and other related metric data, timely discover front-end and back-end performance problems, and timely optimize and adjust.
Front-end Pressure: Use TingYun's pre-deployed 300,000+ real computer devices, real networks, real operating systems, and real browser users across global regions plus cloud JMeter method to initiate hybrid pressure testing of "business flows" and "API interfaces" on business systems.
Telemetry Methods: Through multiple telemetry methods, make business systems observable during pressure testing to timely discover performance bottlenecks and quickly locate problems.
Output Content:
Real User Experience Situation: Observe key business flow availability and performance metrics from real user perspective.
Application Server Code Performance Bottlenecks: Observe performance fluctuations of application servers and various components by deploying APM probes.
Host Server Resource Consumption: Observe CPU, memory, disk, and other resource consumption of host servers by deploying Infra probes.
Component Performance Situation: Observe database SQL execution, database connection count, and other situations through APM probes.
