Using tracing to record logs Strictly speaking, tracing is not a log library, but a distributed tracing SDK used to collect monitoring data. With the popularity of microservices, it is now very common for a product to consist of multiple systems. In 2015, I predicted that vscode would become the best IDE in the world; at the same time, I was also the first star user of the jaeger tracing project (yes, earlier than the author), and I was very optimistic about the subsequent development of this project. Now, I'm here to officially prepare. Log The log package log provides log-related utilities. Print debug information on the console. env_logger configures logs through environment variables. log::debug!
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Use tracing to output customized rust logs. Before the tracing package came out, rust logs were only as powerful as log, but the log function was relatively simple. After the famous tokio development team launched tracing, I am now determined. Tokio Overview For async rust, the most important thing is the underlying asynchronous runtime, which provides core services such as executors, task scheduling, and asynchronous APIs. Simply put, asynchronous code written using the async/await features provided by rust is run. Observability In the introduction to the monitoring chapter, we mentioned that monitoring in the eyes of the boss, front-end, and back-end is different. So is there a way to abstract and unify the monitoring model? Let’s do a brief analysis: Business indicators are displayed in real time. This is a reference.
Locking problem. This issue has been moved from the Microsoft Support Services community. You can vote on whether it was helpful, but you can't add comments or replies to the question.
