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Вернуться к Reliable Google Cloud Infrastructure: Design and Process

Отзывы учащихся о курсе Reliable Google Cloud Infrastructure: Design and Process от партнера Google Cloud

Оценки: 6,859
Рецензии: 681

О курсе

This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective....

Лучшие рецензии


10 сент. 2020 г.

Thanks Phillip! Excellent feed back after practice, always show new way how!\n\nReally good material, is a real open door for a Google concepts! Is a way to start to thinking in Google Cloud Architect


27 авг. 2019 г.

It was a wonderful course were I got to understand principles involved in business logic, determining youreaSLA, SLI and SLO and so many other design principles relevant for an end product scale.

Фильтр по:

651–675 из 684 отзывов о курсе Reliable Google Cloud Infrastructure: Design and Process

автор: Dilip K

17 мая 2021 г.

When I initiated this session, it started with wrong module somewhere in between. It is not a good sign for google. Connect with me if you need any details.

автор: John E

12 июля 2018 г.

If you went through the other five courses, the lectures and lab here are overlap.Also the labs are harder to follow in this module that the prior 5.

автор: Vinicius O

22 июля 2020 г.

The premise is good, but the course and activities are kinda boring. Maybe it would be good to have practical exercises in each module.

автор: Qingsheng L

1 окт. 2019 г.

It's too fast... I know you guys want to zip in as much information as possible but this course is really too hard to catch up with.

автор: Marco M

29 апр. 2019 г.

Some labs were not working at the time I tried... issue seemed resolved by the time I reached the end of the course.

автор: Aakash K

22 окт. 2019 г.

This course is not good as other than in which we are not able to under stand quick lab what he is want in his lab

автор: Nishant

6 июня 2018 г.

Lab3 deployment didn't work. Followed the lab. Gives me something to troubleshoot later if I use that template.

автор: Giovanni V

22 мар. 2020 г.

Useful because it's a summary of the first four courses.

The LAB activities are very trivial, not so interesting.

автор: Weikang S

21 февр. 2019 г.

course content could be refined and edited; currently it is more of a presentation.

автор: Dhruv S

29 авг. 2019 г.

This course is cool but labs and practical learnings could have been more better!!

автор: Simon

22 авг. 2021 г.

Too much repeated information from the last 3 courses in the specialization

автор: Davit B

8 дек. 2019 г.

It should have more practice, but turned out to be more theory.

автор: A B

25 февр. 2019 г.

instructor seems knowledgeable and fun, but he'd speak slower .

автор: Denis Z

6 янв. 2020 г.

not that comprehensive and structured as I expected

автор: Filipe G

3 дек. 2019 г.

not as good as the others in the series

автор: Anjang P

31 окт. 2019 г.

too many video, less lab

автор: Shaiju P

31 мар. 2019 г.

little bit boring

автор: Vinothkumar D

25 нояб. 2018 г.


автор: Mathieu M

5 апр. 2020 г.


Second time for a coffee :)

Please review all the labs of the present course to fit with the specialization labs format. Simplify, go toward essential. I find there is a kinda repetition during the specialization, it's the second time I implement a logbook application. Missing a global specialization timeline. A lack of coherence between theoretical course and practical.

The labs could be so much more practicals, you discussed during all the theoretical course about an application which we never had the possibility to exploit/deploy, how frustrating.

In my opinion, the first lab could be:

OK we don't have the application from the dev, but we they gave us the format of data we can expect + a dataset, first guide the student to generate a

simple mockup of frontend based on Google functions+pub-sub to simulate the calls (Via G console). With templates & provided really deploy the dev part of the application that was described with the first limitation.

Then each labs would start by getting the last iteration corrected of the previous lab from a bucket you provide, first application delivered will have a a poor design which will be modified at each iteration.

Introduce the log management proposed each time and show the student where to find lead to point at the current solution problem (ex: generating fake logs during the first steps), then show how to modify the current deployment template to circumvent the limitation.

Each time add verification steps with pre-named resources like in other courses labs which ensure the progression of the student and do not generate frustration over deployment failure.

We do not need to have a high consuming application, but it should be a lite version of what was discussed.

I hope my reviews won't be too much a bother, I just hope to be able to help you to improve the quality of your course ;) Have a good day.


автор: Alvin P E

30 окт. 2018 г.

repeated labs and material more of deployment manager labs and notes which was already covered. very less of solution discussion. the whole course felt unnesccesary. mostly all covered direcly or indirecly in other course in the series. It would be great if the course had most common solutions like java jee spring/python djaogo production scale or serverles ETL end to end or datawarehouse analytics solution covering all design concpets of resilient high availaility etcc on such projects and covering labs for the same.

автор: Roman S

13 нояб. 2019 г.

I have done a number of courses now and can tell that I do not enjoy the recordings with Jason Baker specifically.

The speaker rambles over slides, reading what the audience is reading anyway, examples are vague and not helpful, it is hard to get relevant knowledge from the lectures.

I like the other speaker Tom Terne, but he merely introduces to the lectures in a very nice and structured way.

In the long term, please consider rerecording the lectures on design process.


автор: Rafael C

6 мар. 2019 г.

There are multiple trainings that are absolutely useless for this level of individual. One is literally just signing in to Quiklabs and closing the project. How is that not just a waste of everyone's time. All the other labs include that step. Why even make that a lab. That is utterly stupid.

автор: fethi o

6 янв. 2019 г.

Although this course focuses on a deeper understanding of cloud architecting, the labs are repetitive in content and their coverage of the course contents are very low - Its pre-requisites (Architecting GCP courses) have been much better.

автор: LAGS

23 мар. 2020 г.

The instructor has a lot of knowledge about the subject but lacks about how to teach. It explains too fast, does not make any pause and makes hard to follow the slides.

автор: Jorge T

27 апр. 2020 г.

A repetition of other courses in the track, good for reinforcement however no new information is provided