Highlights of the Second Hangzhou Testing Salon – Full‑Chain Performance Testing, Test Engine Design, Quality Platforms, and More

On October 20, Youzan, together with KuJiaLe, Mogujie, and 51 Credit Card, hosted the second Hangzhou Testing Salon. Over 130 companies registered and more than 300 participants attended, sharing technical insights on full‑chain pressure testing, automated model analysis, and data monitoring.

The first speaker, Zhang Chi, the online full‑chain pressure testing lead at Youzan, presented “Youzan Full‑Chain Pressure Testing Practice”. He explained why full‑chain testing is essential for e‑commerce peak traffic, covering system complexity, limitations of partial testing, and the “barrel effect”. He described Youzan’s design, storage and traffic routing, business upgrades, and overall traffic handling strategies.

Next, test development engineer Nie Feng shared “Design and Implementation of a Full‑Chain Pressure Testing Engine”. He discussed key technology considerations such as request orchestration, pressure control, distributed testing support, and extensibility. After evaluating tools like ApacheBench, JMeter, nGrinder, and Gatling, the team chose Maxim to meet Youzan’s requirements for distributed execution, a simple GUI, resource management, and automated reporting.

Shuang Quan from Mogujie presented “Closed‑Loop Quality Platform Based on a Rule Engine”. He detailed how the platform performs test model analysis, input/output validation, rule engine implementation, monitoring, alerting, and reporting to achieve a closed‑loop quality assurance process.

Yin Shi, front‑end testing lead at KuJiaLe, introduced “JS Front‑End Coverage Statistics Platform”. Using the open‑source Istanbul (and its successor nyc), the team built a platform that supports both manual and automated front‑end test coverage, showcasing its architecture and usage.

Feng Fei, head of the Exabrain testing group at KuJiaLe, delivered “KuJiaLe Search Service Quality System”. He described the challenges of complex business logic, high performance demands, and long data change chains, and explained the search debugging platform built to address issues such as front‑end parameter errors, back‑end request mismatches, and OpenSearch configuration problems.

Cao Chuanyu, testing lead of the data technology department at 51 Credit Card, spoke on “Data Quality Monitoring”. He covered the necessity of data quality monitoring, core features, design, and implementation, and shared solutions for partition formats, scheduling triggers, downstream task blocking, and YARN resource management.

The six speakers concluded with a rapid Q&A session, discussing real‑world testing problems, tool selections, and emerging technologies.