课程: Google Cloud Professional Machine Learning Engineer Cert Prep
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Continuous integration using Rust with GitHub Actions - Google Cloud Platform教程
课程: Google Cloud Professional Machine Learning Engineer Cert Prep
Continuous integration using Rust with GitHub Actions
- [Instructor] Here we have a new project template that I'm going to use to set up a continuous integration for GitHub Actions. GitHub Actions is a way of testing your code and even deploying your code automatically. So I'm going to go ahead and say Use this template to create a new repository. Let's go ahead and do this. And I can put it into a place here where I say github-actions-rust-example. And for the description, we'll just say Build and test a Rust Project. And the goal here with setting up a new project is that it allows us to, from the very beginning, set it up for continuous integration which is a DevOps best practice and really does help you build out microservices in a faster way because you have a quality control process that improves your code over time. So I'm going to go ahead and create a new codespace here. Let's go ahead and say New with options. Rust does benefit from powerful machines and I'm…
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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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