2023-11-09 16:30:00 ~ 2023-11-10 16:30:00
今天复盘之前我们在做连锁门店业务时,对体验设计的一些思考。如果你也在做线下门店业务,或者是做用户体验相关的业务,不妨一起思考思考。
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针对社交直播活动的特殊性,从日常任务榜单回归以及线上配置检查2个角度出发,搭建活动体系下的回归校验平台,提高人效,保障线上活动质量。
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HDFS离线存储平台是Hadoop大数据计算的底层架构,在B站应用已经超过5年的时间。经过多年的发展,HDFS存储平台目前已经发展成为总存储数据量近EB级,元数据总量近百亿级,NameSpace 数量近20组,节点数量近万台,日均吞吐几十PB数据量的大型分布式文件存储系统。
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对SDK而言,因为其并非直接面向用户,更像是一个ToB类产品,快速的版本迭代显然不是一个有效的途径,游戏SDK也不例外。
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系统化地介绍微前端及其核心技术,并介绍了什么是微前端以及为什么我们需要它。我们还讨论了在众多微前端框架中如何选择适合自己系统的框架,并分享了一些业界使用微前端的实践案例。
At Netflix, we strive to give our members an excellent personalized experience, helping them make the most successful and satisfying selections from our thousands of titles. We already personalize artwork and trailers, but we hadn’t yet personalized sizzle reels — until now.
A sizzle reel is a montage of video clips from different titles strung together into a seamless A/V asset that gets members excited about upcoming launches (for example, our Emmys nominations or holiday collections). Now Netflix can create a personalized sizzle reel dynamically in real time and on demand. The order of the clips and included titles are personalized per member, giving each a unique and effective experience. These new personalized reels are called Dynamic Sizzles.
In this post, we will dive into the exciting details of how we create Dynamic Sizzles with minimal human intervention, including the challenges we faced and the solutions we developed.
Graph modelling is a highly effective technique for representing and analysing complex and interconnected data across various domains. By deciphering relationships between entities, graph modelling can reveal insights that might be otherwise difficult to identify using traditional data modelling approaches. In this article, we will explore what graph modelling is and guide you through a step-by-step process of implementing graph modelling to create a social network graph.
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This blog post describes a recent contribution from Zalando to the Postgres JDBC driver to address a long-standing issue with the driver’s integration with Postgres’ logical replication that resulted in runaway Write-Ahead Log (WAL) growth. We will describe the issue, how it affected us at Zalando, and detail the fix made upstream in the JDBC driver that fixes the issue for Debezium and all other clients of the Postgres JDBC driver.
At Pinterest, data is ingested and transported at petabyte scale every day, bringing inspiration for our users to create a life they love. A central component of data ingestion infrastructure at Pinterest is our PubSub stack, and the Logging Platform team currently runs deployments of Apache Kafka and MemQ. Over the years, operational experience has taught us that our customers and business would greatly benefit from a unified PubSub interface that the platform team owns and maintains, so that application developers can focus on application logic instead of spending precious hours debugging client-server connectivity issues. Value-add features on top of the native clients can also help us achieve more ambitious goals for dev velocity, scalability, and stability. For these reasons, and others detailed in our original PubSub Client blog post, our team has decided to invest in building, productionalizing, and most recently open-sourcing PubSub Client (PSC).
In the 1.5 years since our previous blog post, PSC has been battle-tested at large scale in Pinterest with notably positive feedback and results. From dev velocity and service stability improvements to seamless migrations from native client to PSC, we would like to share some of our findings from running a unified PubSub client library in production.
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Redis 内部提供的不同编码会带来不同的性能和成本差别,大家在使用 Redis 时,可以多了解自己的访问场景,根据实际情况做调优。
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我们为什么需要定制低代码平台?如何通过阿里开源项目低代码引擎和阿里低代码商业产品 UIPaaS 降低定制低代码平台的成本。
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