课程信息

22,972 次近期查看

Learner Career Outcomes

40%

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

17%

加薪或升职

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为5 小时

建议:1 week of study, 8-10 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Debug, monitor, and troubleshoot your application using Google Stackdriver.

  • Check

    Deploy applications using Container Builder, Container Registry, and Deployment Manager.

  • Check

    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

Learner Career Outcomes

40%

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

17%

加薪或升职

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为5 小时

建议:1 week of study, 8-10 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 5 小时

Deploying Applications

完成时间为 5 小时
8 个视频 (总计 30 分钟), 3 个阅读材料, 5 个测验
8 个视频
Deploying Applications Using Cloud Build, Container Registry, and Deployment Manager5分钟
Why use containers for deployment?2分钟
Build Pipelines with Cloud Build and Deployment Manager5分钟
Demo on Exploring Deployment Manager8分钟
Getting Started with Google Cloud Platform and Qwiklabs3分钟
Lab Overview30
Summary1分钟
3 个阅读材料
Course Information10分钟
How to download course resources2分钟
How to Send Feedback10分钟
2 个练习
Practice Quiz: Deploying Applications30分钟
Final Quiz: Deploying Applications30分钟
完成时间为 5 小时

Execution Environments for your Application

完成时间为 5 小时
9 个视频 (总计 31 分钟), 5 个测验
9 个视频
Cloud Dataflow3分钟
Cloud Functions3分钟
App Engine Flexible Environment5分钟
Kubernetes Engine8分钟
Cloud Run2分钟
Compute Engine3分钟
Lab Overview22
Summary48
2 个练习
Practice Quiz: Execution Environments for Your Application30分钟
Final Quiz: Execution Environments for Your Application30分钟
完成时间为 4 小时

Debugging, Monitoring, and Tuning Performance

完成时间为 4 小时
10 个视频 (总计 33 分钟), 4 个测验
10 个视频
Managing Application Performance and Debugging10分钟
Lab Overview19
Logging1分钟
Monitoring and Tuning Performance4分钟
Identifying and Troubleshooting Performance Issues5分钟
Stackdriver Feature Demo5分钟
Lab Overview23
Summary47
Course Recap1分钟
2 个练习
Practice Quiz: Debugging, Monitoring, and Performance Tuning30分钟
Final Quiz: Debugging, Monitoring, and Performance Tuning30分钟
4.5

80 条评论

Chevron Right

来自App Deployment, Debugging, and Performance的热门评论

创建者 SSJun 29th 2019

Loved the course. It helped me put a lot of features together. One feedback for Coursera is to include all PDFs in a resource area like they did for the first course.

创建者 RCMay 9th 2019

Another excellent course. The only issue is that volume on some videos are significantly lower than others. I was startled several times haha

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 managed services from the Google Cloud Platform. 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. earners can choose to complete labs in their favorite language: Node.js, Java, or Python. 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 Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment....
Developing Applications with Google Cloud Platform

常见问题

  • 是的,您可以在注册之前预览第一个视频和查看授课大纲。您必须购买课程,才能访问预览不包括的内容。

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