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返回到 Elastic Google Cloud Infrastructure: Scaling and Automation

学生对 Google 云端平台 提供的 Elastic Google Cloud Infrastructure: Scaling and Automation 的评价和反馈

4.7
7,963 个评分
717 条评论

课程概述

This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services. Prerequisites: To get the most out of this course, participants should have: • Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience • Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience • Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience • Basic proficiency with command-line tools and Linux operating system environments • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment...

热门审阅

CR
May 22, 2018

This was a great course. It moved a little fast but the labs were very detailed. The course helped me learn to navigate a number concepts and also made me aware of other areas where I will dig deeper.

SB
Oct 10, 2019

The labs in this course were a lot of fun. Deployment Manager and Terraform are two systems that I have been interested in for awhile and it was great actually building (small) things out with them.

筛选依据:

151 - Elastic Google Cloud Infrastructure: Scaling and Automation 的 175 个评论(共 709 个)

创建者 Ajay K L

Oct 8, 2018

Labs are very good. Along with the theory, practising the labs helps a lot

创建者 Akshay S

Dec 10, 2019

Very Correct Difficulty on Course the Instructors Are Really Very Helpful

创建者 Sachin S

Oct 26, 2020

Very nice experience again with Google, Coursera & Quicklabs. Thank you.

创建者 Satyaban P

Apr 30, 2019

In this tutorial I learn about scaling,automation and managed services.

创建者 Lalet S

Mar 7, 2019

Great insight into load balancing, auto-scaling and deployment scripts!

创建者 Timothy K

May 19, 2018

Excellent course on scaling and automation within Google Cloud Platform

创建者 Sandip G

Mar 29, 2020

Great Experience by means of contents and the lab practices and demo .

创建者 vinod t

Sep 17, 2020

It was amazing experience and well explained to learn any technology.

创建者 Rohan S J

Jul 26, 2020

This course is increasing My cloud computing Knowledge day by day.

创建者 Vivek M

Jan 7, 2019

very interesting. Course coordinator can be more enthusiastic though.

创建者 Jeetender S

Mar 5, 2020

Good course and learn automation and scaling of the google instance.

创建者 Brian N

Apr 20, 2018

This course was exactly what I needed for setting up load balancing.

创建者 Nelson E G A

Mar 30, 2019

El curso con mayor exigencia de concentracion hasta ahora, gracias.

创建者 Elisabeth A

Nov 9, 2017

Loved doing this course and appreciated the breadth of information!

创建者 Abdul S

May 21, 2020

Excellent Course. I suggest all GCP aspirants to take this course.

创建者 Osei A B

Dec 4, 2019

Was great but challenging but I never gave up. Thank you Coursera.

创建者 Carlos L

May 27, 2018

Very useful and gave me a complete overview to the topics covered

创建者 Mark B

Mar 22, 2021

Tons of content, presented well with lots of great labs- thanks!

创建者 Ejiro O

Sep 3, 2020

I totally recommed going through this course, the labs are good.

创建者 Antonio S d S J

Jul 22, 2019

Perfeito, so elogios para os cursos GCP da coursera e do Google.

创建者 Karyn C

Aug 14, 2020

Love that there are hands on code opportunities in this course.

创建者 Jorge M

Apr 20, 2020

It's a great course to get knowledge about some features in GCP

创建者 samson R S

May 19, 2020

Fantabulous Course. Indeed had a great time doing this course.

创建者 Faruque A

Apr 16, 2020

It was a great learning and the whole session was interactive!

创建者 Shreyas P

Apr 10, 2020

Nice course. Learnt a lot about scaling and automation in GCP.