关于“Configure an Application Load Balancer with Autoscaling (AWS)”的评价
评论
Andrew P. · 评论about 2 years之前
Mahmoud B. · 评论about 2 years之前
Alejandro H. · 评论about 2 years之前
Jaime S. · 评论about 2 years之前
Shreyas R. · 评论about 2 years之前
Cassio B. · 评论about 2 years之前
Kyaw (Steve) T. · 评论about 2 years之前
Anrie S. · 评论about 2 years之前
Eric P. · 评论about 2 years之前
Multiple attempts to run f1 instances as directed, then tried n1 instances but none available in us-west-1 Instead I chose an E instance and I think this is why I got the popup "We are ending this lab because we have detected you are not following the lab instructions..." I mean what else am I supposed to do with the lab half completed and the clock ticking down for when the lab will be closed? I think a little more lenience would be good. Also multiple Chrome browser tab crashes... I closed down other tabs and other apps but it continued to happen. This may be an issue on my side but nonetheless it only added to the frustration.
Toby R. · 评论about 2 years之前
Though configured correctly, the progress check is failing
Venkata K. · 评论about 2 years之前
Dr. Kondala Kameswara Rao N. · 评论about 2 years之前
Console is so piggish, my browser and entire machine locked up multiple times. I ran out of time on the first attempt - you need at least 4 hours for this. Also, instructions are so outdated, there is no f1-micro in N1 anymore, and IPV4 wasn't an option for multiple steps, and labels are all wrong (http-backend on monitoring LB). If you decide to actually QA your labs, reach out to me, I am available for work.
Phillip B. · 评论about 2 years之前
Deyana N. · 评论about 2 years之前
Aryan P. · 评论about 2 years之前
Steven Q. · 评论about 2 years之前
Lismar O. · 评论about 2 years之前
Isaac M. · 评论about 2 years之前
Steven S. · 评论about 2 years之前
James C. · 评论about 2 years之前
Was fine until the end when I couldn't launch the stress-test VM because GCP is too busy
Chris B. · 评论about 2 years之前
Alexey P. · 评论about 2 years之前
Duc N. · 评论about 2 years之前
mohammaderfan k. · 评论about 2 years之前
Ankit G. · 评论about 2 years之前
我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。