BestHub
Sign in
Tagged articles

continuous monitoring

3 articles · Page 1 of 1
ThinkingAgent
ThinkingAgent
Jun 16, 2026 · Artificial Intelligence

A Systematic Approach to AI Evaluation: From Benchmarks to Real‑World Scenarios

This article outlines a comprehensive methodology for evaluating large language models, covering classic benchmarks, human and multimodal assessments, common pitfalls such as data contamination and benchmark overfitting, and practical guidelines for building a scientific, multi‑layered AI evaluation framework.

AI evaluationLLM benchmarksLLM-as-judge
0 likes · 27 min read
A Systematic Approach to AI Evaluation: From Benchmarks to Real‑World Scenarios
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Nov 16, 2022 · Operations

Design and Implementation of a Continuous Performance Optimization and Tracking Platform for Xiaohongshu Services

To curb rising resource costs as Xiaohourshu scales, engineers built a Continuous Performance Optimization & Tracking Platform that continuously profiles services, stores diff‑analyzed data in ClickHouse, automatically detects tiny regressions, links them to code changes, and has already saved and flagged roughly 20,000 CPU cores across search, recommendation and advertising workloads.

Big Datacloud-nativecontinuous monitoring
0 likes · 16 min read
Design and Implementation of a Continuous Performance Optimization and Tracking Platform for Xiaohongshu Services
FunTester
FunTester
Apr 10, 2020 · Industry Insights

Why Bugs Slip Into Production: Common QA Pitfalls and How to Fix Them

Even with thorough testing environments, bugs often surface in production due to missing continuous monitoring, rushed last‑minute releases, inadequate compatibility checks, data inconsistencies, outdated QA practices, lack of shared goals, and microservice deployment challenges, highlighting the need for robust, production‑mirroring QA processes.

DevOpsMicroservicesQA
0 likes · 8 min read
Why Bugs Slip Into Production: Common QA Pitfalls and How to Fix Them