2024-03-14 16:30:00 ~ 2024-03-15 16:30:00
在做B端设计时,到底该注重体验,还是完全以业务目标为导向?你遇到过多少次这样的情况?你是妥协还是据理力争?设计被投诉数据却暴涨,你又怎么看呢?
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Collection原文引自 Rita Kind-Envy 的文章 《 People Don’t Read Online—They Scan. This Is How to Write for Them》,该译文并非完整原文,内容已做删减和调整,并加入了部分译者观点。尼尔森诺曼集团(Nielsen Norman Group)➊ 是一家在用户体验领域深受大众信赖的用户体验研究和咨‹
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致力于在对业务零侵入的情况下,丰富现有的服务治理能力,解决多语言多框架这种异构系统下产生的服务治理难题,实现业务与基础服务解耦,让业务开发可以更专注于核心业务。
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锁是解决这些问题的传统方法,而无锁化编程是一种更高级但复杂的技术,它能够在某些情况下提供更优的性能和可扩展性。正确选择和实现适合应用场景的并发策略,是高效多线程编程的关键。本文由作者带着大家一起学习无锁化编程。
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Tackling decision making problems with a platform for developing & serving Reinforcement Learning models with a focus on Contextual Bandits
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Goku is a time series database used by Pinterest for monitoring and alerting services. It offers pre-aggregation as an optimization technique for reducing query latency and cardinality. Users can enable pre-aggregation for metrics experiencing high latency or hitting cardinality limits. The Goku team provides users with tag combination distribution for the metric, allowing them to choose the tags they want to preserve in the pre-aggregated time series. After consuming data points from Kafka, the Goku Short Term host checks if the time series qualifies for pre-aggregation. If it does, the data is entered into an in-memory data structure that records various aggregations. Additionally, 5 aggregated data points are emitted for the time series. Goku Root handles query requests and modifies the metric name to query the right time series. The success story mentions a metric with high cardinality that achieved lower latencies after enabling pre-aggregation. Goku has onboarded over 50 use cases for pre-aggregation.
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When our permissions system broke at the seams, everything came to a halt. This is the story of how we fixed it.
代码覆盖率是衡量测试用例对代码的覆盖程度的指标,本文主要介绍转转公司实现前端代码覆盖率的实现方案和遇到的主要问题,希望能够抛砖引玉,与各位同行进行深入的探讨和交流。
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Ⅰ.引言01A. VictoriaMetrics简介VictoriaMetrics 是一种快速、经济高效且可扩展的监控解决方案和时间序列数据库,它可以作为prometheus的长期存储,可以直接用于 Grafana 作为数据源使用,相比prometheus相同集群规j
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