Data Center Locations

When you create a new site, application, or database, you can choose from a list of data centers. We recommend choosing the location closest to your target audience. GCPing identifies the ideal data center from the location you test from. You can use this with a VPN to test from your target audience location to determine which data center best suits your site or application.

Boosted regions

In the boosted regions, the PHP execution and database requests are faster and can handle significantly more demanding workloads, meaning websites’ response time is faster, even at peak times. The boosted regions show significant performance improvements with non-cached responses, such as e-commerce, membership, forum, community, and learning websites. Our testing has shown that the boosted regions’ website’s response time is 20% to 50% faster than the average response time of the regular regions.

Kinsta’s boosted regions run on GCP’s next-generation virtual machines (C3D); they provide consistently improved performance over the compute-optimized virtual machines (C2) running on the regular regions. C3D machines have a newer CPU coupled with a custom IPU (which offloads infrastructure chores); this results in the ability to execute significantly more instructions per second, making C3Ds a faster processor. They also have improved IO throughput, optimizing the system performance and making them more reliable.

Boosted regions are available for the following data centers:

1. Changhua County, Taiwan (asia-east1)
2. Mumbai, India (asia-south1)
3. Jurong West, Singapore (asia-southeast1)
4. Sydney, Australia (australia-southeast1)
5. St. Ghislain, Belgium (europe-west1)
6. Frankfurt, Germany (europe-west3)
7. Eemshaven, Netherlands (europe-west4)
8. Council Bluffs, Iowa, USA (us-central1)
9. Moncks Corner, South Carolina, USA (us-east1)
10. Ashburn, Virginia, USA (us-east4)
11. Las Vegas, Nevada, USA (us-west4)

We will adopt C3D machines in more regions as soon as possible. If you have a site running on a region that we plan to upgrade, you will be notified in advance of the upgrade. If you have a dedicated server, all customizations will be retained.

Managed WordPress data centers

When creating your site, you can choose from 37 data centers:

1. Johannesburg, Africa (africa-south1)
2. Changhua County, Taiwan (asia-east1)
3. Hong Kong (asia-east2)
4. Tokyo, Japan (asia-northeast1)
5. Osaka, Japan (asia-northeast2)
6. Seoul, South Korea (asia-northeast3)
7. Mumbai, India (asia-south1)
8. Delhi, India (asia-south2)
9. Jurong West, Singapore (asia-southeast1)
10. Jakarta, Indonesia (asia-southeast2)
11. Sydney, Australia (australia-southeast1)
12. Melbourne, Australia (australia-southeast2)
13. Warsaw, Poland (europe-central2)
14. Hamina, Finland (europe-north1)
15. Madrid, Spain (europe-southwest1)
16. St. Ghislain, Belgium (europe-west1)
17. London, United Kingdom (europe-west2)
18. Frankfurt, Germany (europe-west3)
19. Eemshaven, Netherlands (europe-west4)
20. Zurich, Switzerland (europe-west6)
21. Milan, Italy (europe-west8)
22. Paris, France (europe-west9)
23. Dammam, Saudi Arabia (me-central2)
24. Tel Aviv, Israel (me-west1)
25. Montréal, Canada (northamerica-northeast1)
26. Toronto, Canada (northamerica-northeast2)
27. São Paulo, Brazil (southamerica-east1)
28. Santiago, Chile (southamerica-west1)
29. Council Bluffs, Iowa, USA (us-central1)
30. Moncks Corner, South Carolina, USA (us-east1)
31. Ashburn, Virginia, USA (us-east4)
32. Columbus, Ohio, USA (us-east5)
33. Dallas, Texas, USA (us-south1)
34. The Dalles, Oregon, USA (us-west1)
35. Los Angeles, California, USA (us-west2)
36. Salt Lake City, Utah, USA (us-west3)
37. Las Vegas, Nevada, USA (us-west4)

Note: Google’s compute-optimized C2 machines are available in 21 regions.

Application and Database Hosting data centers

When adding an application or a database, you can choose from 25 data centers:

1. Changhua County, Taiwan (asia-east1)
2. Hong Kong (asia-east2)
3. Tokyo, Japan (asia-northeast1)
4. Osaka, Japan (asia-northeast2)
5. Seoul, South Korea (asia-northeast3)
6. Mumbai, India (asia-south1)
7. Delhi, India (asia-south2)
8. Jurong West, Singapore (asia-southeast1)
9. Sydney, Australia (australia-southeast1)
10. Hamina, Finland (europe-north1)
11. St. Ghislain, Belgium (europe-west1)
12. London, United Kingdom (europe-west2)
13. Frankfurt, Germany (europe-west3)
14. Eemshaven, Netherlands (europe-west4)
15. Zurich, Switzerland (europe-west6)
16. Montréal, Canada (northamerica-northeast1)
17. São Paulo, Brazil (southamerica-east1)
18. Santiago, Chile (southamerica-west1)
19. Council Bluffs, Iowa, USA (us-central1)
20. Moncks Corner, South Carolina, USA (us-east1)
21. Ashburn, Virginia, USA (us-east4)
22. The Dalles, Oregon, USA (us-west1)
23. Los Angeles, California, USA (us-west2)
24. Salt Lake City, Utah, USA (us-west3)
25. Las Vegas, Nevada, USA (us-west4)

Best data center tips

To find the most suitable data center for your site or application, we recommend using GCPPing along with a VPN to ping the data centers from your target audience’s location. This will help you measure the latency of the data centers and the different locations. By assessing the latency, you can determine which data center is the optimal choice for your site or application.

It’s important to determine where your customers are located. The example below shows that Oregon, USA (us-west1) is the fastest from where we are located. However, if you serve customers across the United States, choosing Iowa, USA (us-central1) might be better to ensure low latency for visitors from both the west and east coast.

You can also look at the geographical location of your visitors in Google Analytics. In the following example, you can see that over 90% of the traffic is coming from the United States. So, choosing a US Central data center would be recommended as that will have the lowest latency for visitors coming from within the United States.

If you have any doubts about which data center to choose, feel free to send us a screenshot or a list of the ping results, and we’ll help you choose the most suitable location.