From the course: Google Cloud Professional Machine Learning Engineer Cert Prep
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Demo: Load testing with Rust - Google Cloud Platform Tutorial
From the course: Google Cloud Professional Machine Learning Engineer Cert Prep
Demo: Load testing with Rust
All right. Let's get into load testing. An important way to make sure that your application is going to do what you think it's going to do when you put it into production. You want to simulate what's happening, look at the resources involved, maybe test autoscaling. So we're going to take a look at this tool called Locust here. And to get started, we can just select "Documentation." And the first place to get into this is to look at Installation here and notice we just do a pip install. So if I go over to this environment here, I notice I have a virtual environment source and I just go through here and I say pip install, and install Locust. It's already installed here. In fact, we can double check, we can say which locust and you can see it's actually in this environment. The only other thing we need to do is actually go to writing a Locust file and put something together where we actually map out the client.git or post or whatever it…
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Data drift explained by the naughty child problem1m 39s
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Load testing with Locust3m 25s
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Demo: Auditing via logs2m 20s
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Demo: Logging dashboard3m 41s
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Demo: Cloud web security scanner2m 46s
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Demo: Querying logging output with BigQuery3m 49s
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Demo: Load testing with Rust5m 41s
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Five whys4m 6s
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Using Google Courses3m 11s
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Building a translator with Rust and Hugging Face6m 14s
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Using PyTorch and Rust for stable diffusion7m 4s
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Using Rust with PyTorch7m 52s
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Building a CUDA GPU stress test7m 38s
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