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Retour à Elastic Google Cloud Infrastructure: Scaling and Automation

Avis et commentaires pour d'étudiants pour Elastic Google Cloud Infrastructure: Scaling and Automation par Google Cloud

4.7
étoiles
7,535 évaluations
681 avis

À propos du cours

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 New! CERTIFICATE COMPLETION CHALLENGE to unlock benefits from Coursera and Google Cloud Enroll and complete Cloud Engineering with Google Cloud or Cloud Architecture with Google Cloud Professional Certificate or Data Engineering with Google Cloud Professional Certificate before November 8, 2020 to receive the following benefits; => Google Cloud t-shirt, for the first 1,000 eligible learners to complete. While supplies last. > Exclusive access to Big => Interview ($950 value) and career coaching => 30 days free access to Qwiklabs ($50 value) to earn Google Cloud recognized skill badges by completing challenge quests >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

Meilleurs avis

CR
22 mai 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
10 oct. 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.

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601 - 625 sur 676 Avis pour Elastic Google Cloud Infrastructure: Scaling and Automation

par Harrison M A

21 déc. 2019

well delivered

par Rokesh J

2 déc. 2017

Very worth it!

par Kushi A

20 déc. 2019

good practice

par Kishan K P C R

3 août 2019

Good Course !

par JP

14 mai 2020

gc great!!!

par Shailendra W

9 sept. 2019

nice course

par Adluri C P

3 sept. 2019

Informative

par Anand K K

29 juil. 2018

Good course

par Dhanashri N

19 nov. 2019

Great one

par Joseph J C P

9 mars 2019

Loved it.

par Chris M

6 nov. 2018

splendid!

par Leopoldo V M

1 mars 2020

great

par CRUZ O C A

20 janv. 2020

Good.

par Nogara M

21 août 2018

great

par Gautham S M S

4 juil. 2020

good

par Smita K

18 mai 2020

nice

par SUDHIN N

13 févr. 2020

nice

par SAJID M W

12 janv. 2020

good

par Jose F C M

18 sept. 2019

Good

par Jigar C

26 juin 2019

Good

par PATEL M B

7 juin 2019

good

par Anandasubbiah B

11 nov. 2019

ok

par Vedyalud C

29 juil. 2019

.

par Dinesh S

30 mai 2018

Same review as what is there for Core Services

For Core Services course, there could have ben more Demo's instead of just pointing the candidates to do labs on their own. There are no tips and tricks or real world examples topics when explaining something. Course becomes very dry and makes it very difficult to understand considering someone is learning for the first time.

Also these courses are recommened for the new Cloud Engineer beta exam however the test had way more then what was taught here.

par Robert L P

28 oct. 2020

Load Balancing Lab left out a couple of critical steps. It took 5 tries before I figured out the problems. The VMs were being deleted and I had to go back and spin them up. This kept the backend from being created. In the 4th task, you have to keep going to the 5th task and get the frontend up. Once this happens the backend can be connected to the VPC. You will then get credit for Task 4 after you finish Task 5. All previous labs' credits were sequential.