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This article explains what distributed tracing is, why it is needed alongside logging and metrics for observability, how it works with trace and span IDs, and describes Liulishuo's implementation using OpenTelemetry, W3C Trace Context, and tail‑based sampling to improve backend debugging.
This article details Liulishuo's customized Prometheus monitoring architecture, including data backup to Aliyun SLS, ECS service discovery, advanced alerting with PagerDuty and Goalert, GitOps-driven config management, cloud resource exporters, SLA monitoring, and future plans for storage and alert pipelines.
This article details how to create a cross‑platform English‑learning quiz PK mini‑game for both a main app (H5) and WeChat mini‑games, covering technology selection, project structure, webpack configuration, virtual routing, component development with react‑pixi‑fiber, animation techniques, platform adapters, and performance optimizations.
This article describes how a tech team built a catalog‑based cost‑allocation system, leveraged cloud tags and Kubernetes labels, used Prometheus data for scaling decisions, and combined reserved, spot, and on‑demand instances to boost cloud resource utilization while keeping services stable.
This article describes how FluentSpeak replaced a DataX master‑slave pipeline with a CDC‑plus‑Delta Lake solution on Alibaba Cloud EMR, detailing architecture choices, streaming SQL merge logic, monitoring, challenges, and the resulting cost and latency improvements.
This article details the end‑to‑end migration of a petabyte‑scale big‑data platform to Alibaba Cloud, describing the DSS synchronization system, its integration with Hive Metastore and Airflow, the gray‑release strategy, data‑consistency validation using Presto, and key takeaways for future cloud migrations.
This article explains how data analysts can use experimental and observational research methods, including randomized controlled trials, quasi‑experiments, difference‑in‑differences, regression discontinuity, synthetic control, and Bayesian structural time‑series, to assess the causal impact of product and marketing changes on business metrics.
The article describes how Liulishuo automates data‑warehouse task scheduling by parsing SQL to build DAGs, introduces systematic governance to improve reliability, reduce execution time, and handle unreliable data sources, ultimately enhancing data‑engineering efficiency.
This article explains the AI live‑streaming architecture used by Liulishuo, covering the basic workflow of push, server, and pull, video/audio encoding and container formats, streaming protocols such as RTMP, HLS and HTTP‑FLV, SEI integration, and provides a step‑by‑step demo using nginx‑rtmp and FFmpeg.
This article explains how the Liulishuo team leveraged the Cocos game engine to render video directly, managed OpenGL contexts across multiple threads, and built a reusable audio‑video processing pipeline for Android, detailing challenges, design decisions, and implementation solutions.
