In this course, application developers learn how to design and develop cloud-native 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 create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and debug/monitor application performance. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.
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
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课程信息
21,622 次近期查看
学生职业成果
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
您将获得的技能
Google Container EngineDebuggingGoogle Cloud PlatformCloud Computing
学生职业成果
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
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 4 门课程（共 4 门）
可灵活调整截止日期
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中级
完成时间大约为6 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
完成时间为 5 小时
Deploying Applications
This module covers deploying your applications in GCP.
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
This module covers the various execution environments available for your application in GCP.
完成时间为 5 小时
9 个视频 （总计 31 分钟）
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
This module covers debugging, monitoring, and tracing performance in your applications using Stackdriver.
完成时间为 4 小时
10 个视频 （总计 33 分钟）
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
审阅
4.6
来自APP DEPLOYMENT, DEBUGGING, AND PERFORMANCE的热门评论
由 MS 提供Jul 21, 2019
The Course was really helpful in understanding statck driver monitoring and different types of applications . The labs were really helpful in understanding the debugging applications etc
由 SS 提供Jun 28, 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.
由 PA 提供Feb 3, 2020
The Course slides are not readily downloadable from the Course overview. This is something very useful when studying for a certification exam for instance.
由 JP 提供Feb 14, 2019
Very good coverage overall. A few of the labs were a little buggy and one did not work, but the tech support was responsive. I would recommend this class.
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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 (GCP). 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. Learners 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.
常见问题
我能否在注册前预览课程？
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。
我什么时候能够访问课程视频和作业？
如果您决定在班次开始日期之前注册课程，那么您将可以访问课程的所有课程视频和阅读材料。班次开始之后，您便可以提交作业。
我注册之后会得到什么？
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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