Customer Cases
Pricing

WeTest Long-term Cooperation Partner Introduction- Japan KOL Ryo(The First Issue)

WeTest PerfDog has become a performance testing tool used by users all over the world. Recently, WeTest international community launched a global discussion on “performance testing tools” and received comments and videos from YouTube KOL.

We will share with you about the KOLs who have long-term cooperation with WeTest PerfDog successively.

Ryo-YouTube Channel AndroPlus, he has posted blog posts and videos about smartphones, tablets and its software. He introduces news and reviews of smartphones and tablets with detailed data such as touch / audio latency, benchmark results, and camera performance to enable people choose more suitable phones. Ryo has issued 5 testing videos regarding PerfDog. His video link is https://www.youtube.com/, he also joined our Community Hot Topic Plan, his comment link is https://community.wetest.net/thread/comment?threadId=294&commentId=455

At present, WeTest PerfDog supports testing on any Android/iOS mobile devices, such as mobile phones, iPad/iWatch, Android emulators, etc. It also supports PC and switch now. It is based on a smooth user experience, it will strive to provide more convenient operation and comprehensive, accurate data.

The global users of WeTest international community are discussing: 

Performance Testing Tool-PerfDogWelcome to read the original text and join the discussion!

Original address: https://community.wetest.net/thread/294

PD网络测试推广
Latest Posts
1Top Performance Bottleneck Solutions: A Senior Engineer’s Guide Learn how to identify and resolve critical performance bottlenecks in CPU, Memory, I/O, and Databases. A veteran engineer shares real-world case studies and proven optimization strategies to boost your system scalability.
2Comprehensive Guide to LLM Performance Testing and Inference Acceleration Learn how to perform professional performance testing on Large Language Models (LLM). This guide covers Token calculation, TTFT, QPM, and advanced acceleration strategies like P/D separation and KV Cache optimization.
3Mastering Large Model Development from Scratch: Beyond the AI "Black Box" Stop being a mere AI "API caller." Learn how to build a Large Language Model (LLM) from scratch. This guide covers the 4-step training process, RAG vs. Fine-tuning strategies, and how to master the AI "black box" to regain freedom of choice in the generative AI era.
4Interface Testing | Is High Automation Coverage Becoming a Strategic Burden? Is your automated testing draining efficiency? Learn why chasing "automation coverage" leads to a maintenance trap and how to build a value-oriented interface testing strategy.
5Introducing an LLMOps Build Example: From Application Creation to Testing and Deployment Explore a comprehensive LLMOps build example from LINE Plus. Learn to manage the LLM lifecycle: from RAG and data validation to prompt engineering with LangFlow and Kubernetes.