From early manual deployments to a sophisticated, multi-layered monitoring stack—including ELK, Zabbix, Statsd, Grafana, and Prometheus—Bilibili’s ops team shares the evolution, challenges, and lessons learned in building scalable, automated infrastructure for massive internet traffic.
Learn how to achieve near real‑time, time‑series monitoring of Spring Boot applications without writing code by combining Spring Boot Actuator, Jolokia, InfluxDB, Telegraf, and Grafana, while evaluating alternative tools like Prometheus, Graphite, and JMXTrans and understanding their limitations.
This article presents a comprehensive case study of a business monitoring system, covering its background, architectural analysis, module design, time‑series database selection, visualization with Grafana, alerting strategies, decision‑making logic, and intelligent monitoring experiments, followed by key takeaways and lessons learned.
This article explains why monitoring is essential for system reliability, outlines the key components of a comprehensive monitoring framework, compares data collection methods, and presents practical container monitoring solutions—from Docker stats to cAdvisor with InfluxDB and Grafana, as well as Kubernetes and Mesos integrations.
Zhang Yue, a Qunar operations engineer, discusses the design, selection, architecture, scalability challenges, visualization, alert strategies, and future plans of the company's in‑house monitoring platform Watcher, highlighting lessons learned from migrating from Cacti to a Graphite‑based, Grafana‑enhanced solution.
The article details how Qunar’s operations team designed and implemented the Watcher monitoring platform—based on Graphite, Grafana, and Nagios—to achieve high availability, horizontal scalability, and rich visualization for over six million system metrics and two million business metrics.
This article explains why Docker services need monitoring, distinguishes black‑box and white‑box approaches, compares self‑hosted and SaaS monitoring stacks, and reviews key components and popular tools such as Prometheus, InfluxDB, Grafana, Datadog, and Sysdig.
