Part 6 of the “Gamification Series.” Design for players, not metrics Through decades of watching games evolve from 8-bit sprites to photorealistic 3D, from arcade cabinets to cloud gaming, from...
Part 5 of the “Gamification Series.” A framework for developers: from theory to practice Everything I’ve outlined so far is meaningless if you can’t apply it. So let me give you a practical...
Part 4 of the “Gamification Series.” The education problem: why kids see through bad gamification Let me tell you about a conversation I had with my nephew. He’s twelve. He plays Minecraft for...
Part 3 of the “Gamification Series.” Genre matters: the missing framework Here’s the most important thing most gamification designers miss: there is no single “game psychology.” When a product...
Part 2 of the “Gamification Series.” Gamification 2.0: Learning from actual game design Let me tell you what actually hooks players, drawn from four decades of watching millions of people play...
Part 1 of the “Gamification Series.” The gamification cargo cult Let me tell you about a phenomenon I see everywhere: apps with “gamification” that no actual gamer would tolerate for five minutes....
In modern application development, observability is no longer optional. It is a core requirement for stable operations, faster troubleshooting, and better understanding of system behavior....
iOS performance engineering often defaults to a mental model where performance is a property of a component. Performance is instead an emergent behavior of the interaction between application...
AWS has introduced the public preview of OpenTelemetry metrics support in Amazon CloudWatch. This update allows developers to send metrics directly to CloudWatch using the OpenTelemetry protocol...
可观测性是现代系统管理的重要概念,包含指标、日志、追踪、性能剖析和事件五大支柱。这些支柱帮助工程师理解系统状态和故障原因,强调系统设计的属性。通过有效的数据采集与分析,团队能够快速定位问题,优化系统性能,提升用户体验。
本文介绍了五种主要的度量指标存储方案:Prometheus、Thanos、Mimir、VictoriaMetrics和M3DB。重点分析了Prometheus的架构、数据模型及扩展方案,讨论了各方案的优缺点及适用场景,尤其是在高并发和多租户环境下的表现,并提供了一些工程实践中的常见问题及解决方案,以帮助用户选择合适的监控工具。
Airbnb's observability engineering team has published details of a large-scale migration away from StatsD and a proprietary Veneur-based aggregation pipeline toward a modern, open-source metrics...
AI 原生基础设施需应对不确定性,治理的关键在于制度化管理成本与风险。系统运行不再确定,需将不确定性视为默认输入,以确保在最坏情况下仍具经济可行性与可控性。治理机制包括入口控制、意图转译、计量与预算管理,以实现系统的稳定运行。
Supabase发布了增强的Metrics API文档,允许用户将数据库监控数据流入任何兼容Prometheus的观察工具。该API提供约200个Postgres性能和健康指标,支持Grafana、Datadog等平台,帮助用户监控关键指标如连接饱和、CPU和内存压力、磁盘I/O。用户可以设置警报,自动检测问题,确保数据库性能和稳定性。
By Dao Mi, Pablo Delgado, Ryan Berti, Amanuel Kahsay, Obi-Ike Nwoke, Christopher Thrailkill, and Patricio GarzaAt Netflix, data engineering has always been a critical function to enable the...
2025年7月31日,Grafana Cloud发现内存损坏问题,影响部分用户。该问题源于Mimir分发器的更新,导致错误信息中可能包含其他用户的指标数据。已于8月3日清除所有错误信息,并通知受影响用户。建议用户更新Mimir分发器并更改密码以增强安全性。
本文探讨了持续性能分析作为可观测性的“第四大支柱”,弥补了传统指标、日志和追踪的不足。通过主动监控,Go开发者能够更有效地识别性能瓶颈,提高故障解决速度,从而实现更高效的系统管理。
What's in a measurement?
在云原生可观测性中,OpenTelemetry(OTel)被广泛使用,但Prometheus联合创始人Julius Volz警告,OTel的推送模型可能导致Prometheus失去核心特性和性能,变为被动接收器,影响健康监控和查询效率。使用Prometheus的原生库能更好地发挥监控系统的优势。
在IDEA运行Zookeeper时,出现com.codahale.metrics.Reservoir找不到的错误,原因是pom.xml中引用的jar加了<scope>provided</scope>,导致IDEA无法加载依赖。解决方法是注释掉该行。
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