课程: Google Cloud Professional Machine Learning Engineer Cert Prep
免费学习该课程!
今天就开通帐号,24,700 门业界名师课程任您挑!
Demo: Querying logging output with BigQuery - Google Cloud Platform教程
课程: Google Cloud Professional Machine Learning Engineer Cert Prep
Demo: Querying logging output with BigQuery
Let's dive into how to use BigQuery with logs. This is really a killer feature of the Google Cloud platform here. You can see you can do queries here, obviously, and dive into different things. For example, if I want to look at the Kubernetes container, I could click on it, do some queries, et cetera. But there's actually an even slicker way to do this, which is if we go over to Log router and I go ahead and I create a sink. Here, the sink could actually have as a destination BigQuery. So I've already set that up. You can see here, it's right here, this BigQuery dataset. So all I need to do is actually go over to BigQuery itself and try it out. So let's go ahead and go to BigQuery. Here we go. And what happens with BigQuery is that you can see my project is now included as a dataset. And if we go into testlogs, we can actually look at all the different logs that have been sent inside of here. So for example, if I wanted…
内容
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
(已锁定)
Data drift explained by the naughty child problem1 分钟 39 秒
-
(已锁定)
Load testing with Locust3 分钟 25 秒
-
(已锁定)
Demo: Auditing via logs2 分钟 20 秒
-
(已锁定)
Demo: Logging dashboard3 分钟 41 秒
-
(已锁定)
Demo: Cloud web security scanner2 分钟 46 秒
-
(已锁定)
Demo: Querying logging output with BigQuery3 分钟 49 秒
-
(已锁定)
Demo: Load testing with Rust5 分钟 41 秒
-
(已锁定)
Five whys4 分钟 6 秒
-
(已锁定)
Using Google Courses3 分钟 11 秒
-
(已锁定)
Building a translator with Rust and Hugging Face6 分钟 14 秒
-
(已锁定)
Using PyTorch and Rust for stable diffusion7 分钟 4 秒
-
(已锁定)
Using Rust with PyTorch7 分钟 52 秒
-
(已锁定)
Building a CUDA GPU stress test7 分钟 38 秒
-
(已锁定)
-