知鸦日报2022-04-17

Android applications such as Lyft’s apps are developed by a large number of contributors. This means that the codebase grows and changes very quickly. Features are constantly being added or improved, and all these modifications can potentially impact the performance of the application. Thus, it is important to understand how the application consumes CPU resources and to see the dynamics of such metrics across product releases.

Uber’s goal is to ignite opportunity by setting the world in motion, and big data is a very important part of that. Presto® and Apache Kafka® play critical roles in Uber’s big data stack. Presto is the de facto standard for query federation that has been used for interactive queries, near-real-time data analysis, and large-scale data analysis. Kafka is the backbone for data streaming that supports many use cases such as pub/sub, streaming processing, etc. In the following article we will discuss how we have connected these two important services together to enable a lightweight, interactive SQL query directly over Kafka via Presto at Uber scale.

An informal look at what makes encoding-aware strings in Ruby functional and performant, providing insight into all the wonderful things the Ruby VM does.

信息源的本质是寻找事实/信息、有认知的人，有了这样的信息能够让自己的决策更为科学和理性。