This is an AI translated post.
Durumis Development - Part 2: Infrastructure
- Writing language: Korean
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Base country: All countries
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- Information Technology
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Summarized by durumis AI
- Durumis uses GCP for global service, and uses 7 regions across Asia, Europe, North America, and South America out of 39 regions worldwide.
- When users write an article, data is replicated to each region in real time through Google's private network, and readers can view articles from the nearest region.
- We provide fast and stable services through various technologies such as Cloud SQL, BigQuery, Global CDN, Cloud Run, and Google Kubernetes Engine.
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durumis was designed and developed with a multi-region approach from the beginning, as it was intended to be a global service.
GCP Location
durumis uses GCP.
Google provides a powerful network service called SDN (Software Defined Network) as part of its GCP service.
Google uses SDN to connect all of its regions through a dedicated network, providing stable network services.
There are 39 regions in GCP around the world. durumis uses 3 regions in Asia, 1 in Europe, 2 in North America, and 1 in South America.
Here are the details:
- Seoul
- Singapore
- Mumbai
- Belgium
- South Carolina
- Sao Paulo
- Los Angeles
When a user creates a post, the data is replicated in real-time to each region through Google's dedicated network. When a reader accesses the post, they are presented with the post and images from the closest region.
There are many complex technologies hidden behind this.
These include Cloud SQL's real-time replication technology, BigQuery for data processing, Global CDN technology for fast data delivery to users, and Serverless environments like Cloud Run and Google Kubernetes Engine - Autopilot Cluster, which enable optimal server operation with only the necessary resources.
Of course, there are many other technologies behind the scenes, but we'll stop here for today.
In the next post, I'll be talking about Gemini, Google's latest AI.
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