2024-07-25 16:30:00 ~ 2024-07-26 16:30:00
Efficiently storing and retrieving metadata has long been a core focus for metadata teams at Dropbox, and in recent years we've made significant improvements to our foundational layer. By building our own incrementally scalable key-value storage, we’ve been able to avoid necessary doubling of our hardware fleet. As we scale, our evolution continues—but there are still challenges we cannot ignore.
At our current rate of growth, we knew there would come a time when the volume of read queries per second (QPS) could not be sustainably served by our existing underlying storage machines. Caching was the obvious solution—but not necessarily an easy one.
What follows is the story of how we started designing for surfaces outside the app, the engineering problems we had to solve along the way, and ultimately how we measurably improved the experience of riders and drivers.
In our Engineering Energizers Q&A series, we explore the paths of engineering leaders who have attained significant accomplishments in their respective fields. Today, we spotlight Dima Statz, Director of Software Engineering at Salesforce, who leads the development of Salesforce’s new Speech-to-Text (STT) service. STT leverages advanced speech recognition technology to provide real-time, accurate transcriptions of spoken language, thereby aiding businesses in better understanding customer interactions and enhancing their communication strategies.
RTP-LLM是阿里巴巴智能引擎团队开发的大模型推理加速引擎,作为一个高性能的大模型推理解决方案,它已被广泛应用于阿里内部。在这篇文章里,我们将基于RTP-LLM的实践,介绍decode阶段的Attention在GPU上是如何优化的。
如何为你的 LLM 应用设置一个简化的评估工作流程。我们将使用加法分数、思维链 (Chain-of-Thought, CoT) 和少样本示例的表单填充提示模板来指导评估。
海马体设计中台的低代码引擎是一种灵活且高效的开发工具,旨在解决企业在业务发展过程中遇到的重复开发、视觉不一致以及交互不一致等问题。低代码引擎通过解构常用功能并划分为多个功能模块,为开发者提供了定制开发业务的自由度和便捷性。
微服务引擎 MSE(Microservices Engine)是火山引擎提供的一款面向微服务全生命周期的一站式微服务解决方案。产品提供开源增强的 Nacos 注册发现、配置管理,兼容原生 Spring Cloud 、gRPC 及 Service Mesh 架构丰富微服务治理能力。
Join me on a Friday night on-call investigation into a rogue Node.js service.
随着电子商务的蓬勃发展和快递物流行业的日益激烈竞争,中通快递作为该行业的领先者,正面临着前所未有的业务处理量和快速增长的数据处理需求。在这种背景下,企业内部对数据的时效性、准确性以及即时可用性的要求不断提高,不仅需要天、小时级别的离线数仓进行事后的数据分析和决策支持,也更加重视通过实时数仓实现对事中事件的预警和即时干预。