This new release brings remote functions to the front and center of StateFun, making the disaggregated setup that separates the application logic from the StateFun cluster the default. It is now easier, more efficient, and more ergonomic to write applications that live in their own processes or containers. With the new Java SDK this is now also possible for all JVM languages, in addition to Python.
Streaming jobs which run for several days or longer usually experience variations in workload during their lifetime. These variations can originate from seasonal spikes, such as day vs. night, weekdays vs. weekend or holidays vs. non-holidays, sudden events or simply the growing popularity of your product.
市面上已有lottie，svga，pag等优秀的矢量动画库，但是在B站业务场景下，并不能完美的解决自身业务痛点。B站拥有着一套自研的渲染引擎 Chronos，目前已支撑了移动端视频播放界面弹幕等视频特效业务，部分视频中的弹幕特效，以及大部分视频中的三连组件。Chronos 拥有对GPU接口的抽象和渲染管线，我们可以在Chronos基础上，完成一个矢量动画绘制模块，解决B站部分场景下特效动画的痛点。
对互联网公司来说，数据安全一直是极为重视和敏感的话题。涉及客户安全数据或者一些商业性敏感数据，如身份证号、手机号、卡号、客户号等个人信息如果被泄露出去，就会引发严重的数据安全风险。 在真实业务场景中，相关业务开发团队往往需要针对公司安全部门需求，自行实行并维护一套加解密系统，自行维护的加解密系统往往又面临着重构或修改风险。因此希望实现一个通用的敏感数据处理框架，如何在不修改业务逻辑、业务SQL的情况下，透明化、安全低风险地实现无缝进行数据加解密改造。
安全是产品的底座，是体验的基础，也是企业的一项核心竞争力。安全生产是一项系统性的工作，同时也是一件比较琐碎的事，需要做方方面面的考虑尽一切可能保障系统安全稳定运行。个人之前一直负责商品的稳定性工作，在这方面有比较多的经历和实践。
Part one of this tutorial will teach you how to build and run a custom source connector to be used with Table API and SQL, two high-level abstractions in Flink. The tutorial comes with a bundled docker-compose setup that lets you easily run the connector. You can then try it out with Flink’s SQL client.
In part two of this blog post, we will give you insight into some core design considerations and implementation details of the sort-based blocking shuffle in Flink and list several ideas for future improvement.
