In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance. Prerequisites and prework • Completed Google Cloud Platform Fundamentals or have equivalent experience • Working knowledge of Node.js • Basic proficiency with command-line tools and Linux operating system environments • Previous course(s) in the specialization
本课程是 Developing Applications with Google Cloud Platform 专项课程 专项课程的一部分
App Deployment, Debugging, and Performance
提供方
课程信息
20,642 次近期查看
您将学到的内容有
Debug, monitor, and troubleshoot your application using Google Stackdriver.
Deploy applications using Container Builder, Container Registry, and Deployment Manager.
Differentiate between execution environment options for your application. Execution environments include Google Cloud Dataflow, Google Cloud Functions, Google App Engine, Google Kubernetes Engine, and Google Compute Engine.
您将获得的技能
Google Container EngineDebuggingGoogle Cloud PlatformCloud Computing
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 2 小时
Deploying Applications
7 个视频 （总计 41 分钟）, 2 个阅读材料, 3 个测验
7 个视频
Deploying Applications Using Container Builder, Container Registry, and Deployment Manager9分钟
Demo: Explore Cloud Container Builder and Registry17分钟
Demo on Exploring Deployment Manager8分钟
Getting Started with Google Cloud Platform and Qwiklabs2分钟
Lab Overview32
Summary1分钟
2 个阅读材料
Course Information10分钟
How to download course resources2分钟
2 个练习
Practice Quiz: Deploying Applications6分钟
Final Quiz: Deploying Applications6分钟
完成时间为 2 小时
Execution Environments for your Application
8 个视频 （总计 24 分钟）, 3 个测验
8 个视频
Cloud Dataflow4分钟
Cloud Functions3分钟
App Engine Flexible Environment6分钟
Kubernetes Engine (formerly Container Engine)2分钟
Compute Engine3分钟
Lab Overview26
Summary52
2 个练习
Practice Quiz: Execution Environments for Your Application6分钟
Final Quiz: Execution Environments for Your Application6分钟
完成时间为 3 小时
Debugging, Monitoring, and Tuning Performance
10 个视频 （总计 23 分钟）, 4 个测验
10 个视频
Debugging Your Application1分钟
Lab Overview25
Logging1分钟
Monitoring and Tuning Performance4分钟
Identifying and Troubleshooting Performance Issues4分钟
Stackdriver Features5分钟
Lab Overview26
Summary44
Course Recap1分钟
2 个练习
Practice Quiz: Debugging, Monitoring, and Performance Tuning6分钟
Final Quiz: Debugging, Monitoring, and Performance Tuning6分钟
4.5
34 个审阅33%
完成这些课程后已开始新的职业生涯
25%
通过此课程获得实实在在的工作福利
来自App Deployment, Debugging, and Performance的热门评论
Another excellent course. The only issue is that volume on some videos are significantly lower than others. I was startled several times haha
It was awesome course to start with Google Deployment manager and StackDriver.
关于 Google 云端平台
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
关于 Developing Applications with Google Cloud Platform 专项课程
In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.
This class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.
This course teaches participants the following skills:
• Use best practices for application development.
• Choose the appropriate data storage option for application data.
• Implement federated identity management.
• Develop loosely coupled application components or microservices.
• Integrate application components and data sources.
• Debug, trace, and monitor applications.
• Perform repeatable deployments with containers and deployment services.
• Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.
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