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

A good understanding of networking on GCP. Also elaborate knowledge on infrastructure auto scaling. Got some idea about deployment manager and infrastructure as a code concepts.

Definitely learned a lot in this lab! The only change I would suggest is to add a lab for the cloud applications discussed at the end, BigQuery, BigData, DataFlow, and PUB/SUB.

This course is an eye-opener to automation and scaling in GCP. I learned to use Terraform an the Deployment manager even though I had a little challenge with the latter. Thank

Solid course, once again gets a bit deeper into the interesting parts about working at scale (automation, auto-scaling) and touches on some of the data based manages services.

This is amazing if you want to do a cloud devops, this is a good start point, you will lear about lb, manage servies, deploy management, terraform and al lot of other staff

The course content, demo and lab give inside of subject, However I am not able to figure out the link section of video, which was referred multiple time durisn sessions.

This course gives hands on knowledge about various method of automations,managed services and scaling methods available in GCP and easier way to learn and pass through.

I really enjoyed learning how to use languages like yaml and jinja2 to build clusters. The http(s) load balancer tutorial was neat too. Thank you Phillip and Priyanka!

Lots of content on scaling and automating the deployment of cloud infrastructure on GCP. Also covers some of the managed service offerings on GCP such as Hadoop.

Excellent Content! I took from ACE Online/Remote test yesterday and passed in my first attempt. Waiting for Google to confirm the certification and credentials.

I really like the course content it was very helpful to get hands on load balancers and infrastructure automation using Terraform and google deployment manager

Learned networking and load balancing, along with VPC networking,=: allowing access to various VM's using firewall rules and bastion hosting. Very intriguing!

Hands-on labs to illustrate the flexibility, scalability, and elasticity of Google infrastractures were just marvellous. Thanks for the learning experience.

from my perspective, this course is very useful for me. Main contents include advanced network, tunnel encryption, autoscaling, managed services, and so on.

Yet again an outstanding walk through of GCP Scaling and Automation capabilities. Lectures and labs were perfectly mixed to fortify learning. Well done!

This course was really useful and more practical sessions were there to provide hands on experience especially with load balancing and network creation

Instructions are clear and rigorous. Labs and assignments are engaging. The course is well-structured and provides a lot of useful content about GCP.

I think the volume of the videos is too low, so it is difficult to hear when you are in the public transport that is my main space to whatch them

This course made me understand how to make use of deployment management and most especially I enjoyed the Virtual Private Networking or VPN course.

I recommend anyone who want to know Infrastructure Automation in GCP, take this course. It has very clear outline, and well-designed labs. Enjoy!

Una mirada completa a las capacidades de automatizacion en GCP en un curso muy escueto. Buen punto de partida para despues profundizar mucho mas.

The course had very good lab sessions to clarify the solution explained in the class room, providing the good hands on to gain the confidence.

I had fun doing this lab assignment, even though it was tedious and many steps, and with precise instructions I managed to to get it through.

I recommend to anyone who wants to scale their cloud practices should take Google hands labs along with video lectures. More Power to Google!

Able to explain and get the knowledge fro scaling and automation for the Cloud Deployment. This is important for Agile development with Cloud