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
本課程是 Developing Applications with Google Cloud Platform 專項課程 專項課程的一部分
App Deployment, Debugging, and Performance
提供方
課程信息
20,952 次近期查看
您將學到的內容有
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.
您將獲得的技能
Google Container EngineDebuggingGoogle Cloud PlatformCloud Computing
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
Deploying Applications
7 個視頻 （總計 41 分鐘）, 2 個閱讀材料, 3 個測驗
7 個視頻
Deploying Applications Using Container Builder, Container Registry, and Deployment Manager9分鐘
Demo: Explore Cloud Container Builder and Registry17分鐘
Demo on Exploring Deployment Manager8分鐘
Getting Started with Google Cloud Platform and Qwiklabs2分鐘
Lab Overview32
Summary1分鐘
2 個閱讀材料
Course Information10分鐘
How to download course resources2分鐘
2 個練習
Practice Quiz: Deploying Applications6分鐘
Final Quiz: Deploying Applications6分鐘
完成時間為 2 小時
Execution Environments for your Application
8 個視頻 （總計 24 分鐘）, 3 個測驗
8 個視頻
Cloud Dataflow4分鐘
Cloud Functions3分鐘
App Engine Flexible Environment6分鐘
Kubernetes Engine (formerly Container Engine)2分鐘
Compute Engine3分鐘
Lab Overview26
Summary52
2 個練習
Practice Quiz: Execution Environments for Your Application6分鐘
Final Quiz: Execution Environments for Your Application6分鐘
完成時間為 3 小時
Debugging, Monitoring, and Tuning Performance
10 個視頻 （總計 23 分鐘）, 4 個測驗
10 個視頻
Debugging Your Application1分鐘
Lab Overview25
Logging1分鐘
Monitoring and Tuning Performance4分鐘
Identifying and Troubleshooting Performance Issues4分鐘
Stackdriver Features5分鐘
Lab Overview26
Summary44
Course Recap1分鐘
2 個練習
Practice Quiz: Debugging, Monitoring, and Performance Tuning6分鐘
Final Quiz: Debugging, Monitoring, and Performance Tuning6分鐘
4.5
34 個審閱33%
完成這些課程後已開始新的職業生涯
25%
通過此課程獲得實實在在的工作福利
來自App Deployment, Debugging, and Performance的熱門評論
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.
關於 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.
關於 Developing Applications with Google Cloud Platform 專項課程
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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在您注册且班次开课之后，您将可以访问所有视频和其他资源，包括阅读材料内容和课程论坛。您将能够查看和提交练习作业，并完成所需的评分作业以获得成绩和课程证书。
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该课程是 Coursera 上提供的为数不多的课程之一，目前只对已购买课程或已获得助学金的学生开放。
退款政策是如何规定的？
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