Roxana Cismaseanu
成为会员时间:2026
成为会员时间:2026
Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.
完成入门级使用 Google Cloud Observability 进行监控和记录技能徽章课程, 展示自己在以下方面的技能:监控 Compute Engine 中的虚拟机; 利用 Cloud Monitoring 监控多个项目;将监控和日志记录功能扩展到 Cloud Functions; 创建和发送自定义应用指标;以及根据自定义指标配置 Cloud Monitoring 提醒。
完成在 Google Cloud 上使用 Terraform 构建基础设施技能徽章中级课程, 展示您在以下方面的技能:在使用 Terraform 时遵循基础设施即代码 (IaC) 原则;利用 Terraform 配置 来预配和管理 Google Cloud 资源;管理有效状态(本地和远程);以及将 Terraform 代码模块化,以方便重复使用和整理。
This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
Gemini Cloud Assist 调查是一款 AI 加持的工具,用于在 Google Cloud 环境中进行迭代式问题排查,旨在帮助用户排查常见问题,找出在使用 Google Cloud 服务时可能出现的问题的根本原因。 本课程旨在帮助 DevOps、SRE 和平台工程师掌握有效使用 Gemini Cloud Assist 调查来简化 Google Cloud 服务问题排查的技能。该培训重点介绍 Gemini Cloud Assist 调查的基础知识,旨在缩短问题排查时间,并提高 Google Cloud 用户的整体运营效率。
Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
本课程指导学员运用久经考验的设计模式在 Google Cloud 上构建高度可靠且高效的解决方案。它是“Google Compute Engine 架构设计”或“Google Kubernetes Engine 架构设计”课程的延续,并假定您有使用其中任何一门课程所涵盖技术的实践经验。通过一系列演示、设计活动和动手实验,学员可以了解如何定义及平衡业务要求和技术要求,以便设计可靠性和可用性高、安全且经济实惠的 Google Cloud 部署。
In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
“Google Cloud 基础知识:核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务,并提供重要的资源和政策管理工具。
完成“在 Google Cloud 上设置应用开发环境”课程,赢取技能徽章;通过该课程,您将了解如何使用以下技术的基本功能来构建和连接以存储为中心的云基础设施: Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
完成入门级技能徽章课程为 Compute Engine 实现云负载均衡,展示以下方面的技能: 在 Compute Engine 中创建和部署虚拟机 以及配置网络和应用负载均衡器。