On-demand activities

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1214 条结果
  1. 实验 精选

    Google Cloud Packet Mirroring with OpenSource IDS

    This lab demonstrates a common enterprise use case for Google Cloud's Packet Mirroring in conjunction with an Open Source Intrusion Detection System.

  2. 实验 精选

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Cloud Service Mesh

    In this lab you will install the Cloud Service Mesh, and deploy a resnet model, all on a GKE cluster.

  3. 实验 精选

    App Engine: Qwik Start - Python

    This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.

  4. 实验 精选

    Create a role in Google Cloud IAM

    Create a custom role and grant access to a user.

  5. 实验 精选

    Build Custom Processors with Document AI: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Build Custom Processors with Document AI course. You should be familiar with the content of the labs before attempting this lab.

  6. 实验 精选

    Hello Node Kubernetes

    In this hands-on lab, you turn your code into a replicated application running on Kubernetes. You create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up. Watch a short preview Hello Node Kubernetes, GCP Essentials.

  7. 实验 精选

    開始搭配使用 Vertex AI Gemini API 和 cURL

    在本研究室中,您將瞭解如何搭配使用 Vertex AI Gemini API 和 cURL 指令,藉此與 Gemini 模型互動。

  8. 实验 精选

    De-identifying DICOM Data with the Healthcare API

    Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.

  9. 实验 精选

    使用 BigQuery 和 Cloud Logging 分析 BigQuery 用量

    在這個研究室中,您將透過 Cloud Logging 查看 BigQuery 記錄檔、設定接收器,將記錄檔匯出至 BigQuery,並運用 SQL 分析記錄檔。

  10. 实验 精选

    Using NAT for Apigee X Backend Services

    In this lab, you enable a NAT IP address for the runtime instance. This static IP address is used when calling from Apigee X to backend services.