课程: Google Cloud Professional Machine Learning Engineer Cert Prep
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Monitoring and logging with Rust on Google App Engine - Google Cloud Platform教程
课程: Google Cloud Professional Machine Learning Engineer Cert Prep
Monitoring and logging with Rust on Google App Engine
- [Instructor] Here we have a Rust microservice using the Actix Web framework. And you can see here that it has the route here, fruit. It also has a function that returns Hello World. And we can actually look through this code to see how when we deploy it into production, what will happen. It's also containerized. And so this containerized application works very well for App Engine. So if we go over to the deployed version of it inside of App Engine, you can see here that there's a dashboard that shows all of the different important summaries in this section. So we can see here that there's a number of requests here that we can look at. We can also go into the billing status, look at errors if there were any errors. We can also toggle through all the different settings. So request by type, for example, latency. We can also go to loading latency as well. We can go to errors. We can also look at traffic, how much…
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Operationalize microservices1 分钟 57 秒
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Monitoring and logging with Rust on Google App Engine3 分钟 35 秒
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Continuous integration using Rust with GitHub Actions7 分钟 52 秒
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Demo: Unit testing Rust6 分钟 36 秒
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Demo: GitHub copilot-enabled Rust9 分钟 15 秒
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Set up a GCP workstation with Python4 分钟 41 秒
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Demo: Google Cloud Shell4 分钟 23 秒
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Demo: Google Cloud Editor4 分钟 41 秒
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Demo: Google CLI SDK6 分钟 18 秒
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Demo: Google gcloud CLI6 分钟 14 秒
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Demo: Google App Engine Rust deployment5 分钟 15 秒
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Demo: Google App Engine Golang5 分钟 8 秒
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