Ziru Official Tech Account
This article explains why intelligent customer service improves efficiency, compares it with traditional support, outlines its core functions such as knowledge management and language response, and provides a practical step‑by‑step process for quickly building a simple AI‑powered help desk.
This article explains what benchmarking is, introduces the JMH framework for Java, shows how to add JMH dependencies, walks through a simple "Hello JMH" example with full source and output, demonstrates using JMH with Spring Boot, details the most important options and annotations, and highlights common pitfalls to avoid when writing reliable micro‑benchmarks.
This article outlines the background, risk scenarios, and technical design of Ziroom's risk control platform, describing how decision‑engine calculations, data‑driven feature extraction, and rule‑based strategies are used to identify and mitigate fraudulent account activities and reduce bad‑debt losses.
This article details how the Omega platform reduced compilation time by up to 60% by adding Maven -am -pl flags, leveraging GoTemplate custom functions, and adjusting GitLab‑CI variables, providing a step‑by‑step verification of each attempt and the final solution.
This article explores why digitalization is essential in the VUCA era, outlines a two‑goal strategy for building a sustainable, self‑evolving R&D ecosystem—including team, tool, and culture digitization—and explains how digital leadership can drive continuous improvement and business value.
This guide explains why the Alertmanager configuration file in a TiDB cluster is repeatedly overwritten during reloads, analyzes error logs and TiUP documentation, and provides step‑by‑step instructions to edit the topology, set a custom config file, reload the service, and verify the fix.
This article outlines a cost‑effective IM architecture optimization, detailing a four‑layer design, separation of third‑party services, message reception strategies for online, offline and historical data, unified distribution management, data‑exception handling, and key performance metrics to guide robust instant‑messaging implementations.
This article explains what data metrics are, compares offline metric testing with traditional testing, and provides a comprehensive step‑by‑step guide for testing data collection, ETL, warehouse models, metric calculations, scheduling, security, and API outputs in a Hive‑based data warehouse.
This article walks through a step‑by‑step investigation of why incremental backups failed on a DBaaS platform, revealing that the PERCONA_SCHEMA.xtrabackup_history table’s binlog_pos column was too short, and shows how altering its length resolves the problem.
This article analyzes the difficulties of initializing stable environments, the poor usability and low reliability of feature environments, proposes concrete solutions such as unified test environments, streamlined creation workflows, middleware adjustments, testing and documentation, and shares practical reflections from real deployments.
