Migrated an image from AWS to GCP and now my slow is very,very slow...

[Goncalo Silva]

Hello,

I had an image running ubuntu under free tier and I was happy with the service but I hate the AWS management console do I decided to give Google a try and use the 300$ to try if it was better.

After a long a day I was able to migrate it using the GCP migration service but now I completely unhappy since my website load increased from 6s to 60s...

Two questions:

- where can I fix this?

- plan b, how can I revert or where can I change to point to my AWS servers?

Thank you

GP

[Goncalo Silva]

by the way, the website is 99dances.com

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[Justin Reiners]

For now, until you figure out the slowdown, change your DNS A record to point to the old AWS instance.

you can TEST the server without changing your DNS again, by changing your hosts file in windows.

I host 100+ instances on GCP, from the tiny shared cores to 16/32 core machines hosting websites and API's. This has to be some type of misconfiguration within the instance.

What do you site logs say? Also, where is the instance compared to your location? Although it could be on the moon and still have lower latency than what you are seeing.

On Fri, May 25, 2018 at 8:39 AM, Goncalo Silva <gonca...@gmail.com> wrote:

by the way, the website is 99dances.com

On Fri, May 25, 2018 at 3:30 PM Goncalo Silva <gonca...@gmail.com> wrote:

Hello,

I had an image running ubuntu under free tier and I was happy with the service but I hate the AWS management console do I decided to give Google a try and use the 300$ to try if it was better.

After a long a day I was able to migrate it using the GCP migration service but now I completely unhappy since my website load increased from 6s to 60s...

Two questions:

- where can I fix this?

- plan b, how can I revert or where can I change to point to my AWS servers?

Thank you

GP

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[Digil (Google Cloud Platform Support)]

I would also recommend you to check the performance logs of the cloud-powered resources(ex:- CPU usage of the virtual machine instance) along with your website logs. See if there any unusual utilization of CPU, network traffic etc..You can use Google Cloud monitoring to see these usage metrics on your resource.