Building Cloud Music's APM Metric Monitoring System Based on VictoriaMetrics

Cloud Music’s middleware team built the Pylon APM monitoring system on VictoriaMetrics, combining exporters, vmagent, Nacos, Flink‑based pre‑aggregation recording rules and vminsert for collection with Grafana, a custom Proxy and vmselect for querying, achieving millisecond‑level latency, metric‑trace correlation, stability improvements, and cost‑effective storage for nearly 700 million active time series.

APM monitoringFlinkMetric Pre-aggregation

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Building Cloud Music's APM Metric Monitoring System Based on VictoriaMetrics

Baidu Geek Talk

Mar 2, 2022 · Backend Development

Evolution of Baidu Aifanfan Lead List: From Rapid Delivery to High-Performance Architecture

The Baidu Aifanfan lead list page evolved through six versions—from rapid MySQL‑based delivery to a metadata‑driven, ES‑backed architecture with Redis synchronization—culminating in a high‑availability, high‑performance system that slashed server latency from 25 seconds to under one second and cut frontend load times and static asset sizes dramatically.

APM monitoringFrontend OptimizationMicroservices

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Evolution of Baidu Aifanfan Lead List: From Rapid Delivery to High-Performance Architecture

ByteDance Terminal Technology

Nov 2, 2021 · Mobile Development

Practical Application of Memory Graph Technology in Mobile App Performance Optimization: Insights from Feishu and Volcengine APMPlus

This technical sharing session explores the Memory Graph capabilities within Volcengine's MARS-APMPlus monitoring suite, detailing how the Feishu iOS development team leveraged this non-intrusive tool to effectively diagnose and resolve Out-Of-Memory crashes, significantly enhancing mobile application stability and performance.

APM monitoringMobile DevelopmentOOM Troubleshooting

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Practical Application of Memory Graph Technology in Mobile App Performance Optimization: Insights from Feishu and Volcengine APMPlus

dbaplus Community

Aug 27, 2020 · Backend Development

Taming Microservice Chaos: Stability, Degradation & Data Consistency

This article shares practical guidance on microservice benefits, common pitfalls such as stability and data consistency issues, and detailed solutions including circuit breakers, service degradation tactics, TCC distributed transactions, transactional messaging with RocketMQ, seamless data migration, and full‑stack APM monitoring.

APM monitoringData Consistencycircuit breaker

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Taming Microservice Chaos: Stability, Degradation & Data Consistency