Pipeline Automation

Youzan Coder

Feb 7, 2023 · Big Data

Automated Offline Data Cost Optimization in Youzan's Data Platform

Youzan built an automated offline data cost‑optimization platform that gathers accurate metadata, mines unused or failing tables and tasks, and safely decommissions them through a backend‑frontend workflow with owner validation, notifications, rollback safeguards, and plans to extend lineage coverage and real‑time asset handling.

Big DataPipeline Automationautomated decommission

0 likes · 11 min read

Automated Offline Data Cost Optimization in Youzan's Data Platform

NetEase Yanxuan Technology Product Team

Jan 30, 2023 · Artificial Intelligence

Algorithm Model Quality Assurance: Lifecycle, Issues, and Platform Implementation

The article outlines a comprehensive quality‑assurance framework for algorithm models on the Yanxuan platform, detailing lifecycle stages, common issues, and a unified platform that automates bad‑case mining, model‑effect monitoring, latency tracking, and pipeline validation to ensure reliable deployment across search, recommendation, marketing, bidding, and forecasting applications.

Pipeline Automationalgorithm lifecyclebadcase detection

0 likes · 17 min read

Algorithm Model Quality Assurance: Lifecycle, Issues, and Platform Implementation

DevOps Cloud Academy

Apr 29, 2021 · Cloud Native

End-to-End Project Delivery with GitLab: From Issue Creation to Deployment Pipelines

This guide details a complete GitLab‑based CI/CD workflow that starts with issue and milestone creation, defines feature‑branch pipelines, builds and tests Java applications, performs code analysis, creates Docker images, and deploys to Kubernetes with controlled pipeline triggers and rollback strategies.

DevOpsDockerGitLab CI

0 likes · 16 min read

End-to-End Project Delivery with GitLab: From Issue Creation to Deployment Pipelines