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This topic is for a deployment in a Data Center, not on a rented Cloud infrastructure, like AWS. |
There are 2 main components:
VMS
Storage
VMS
Main micro-services and resources
Service | Cameras | VCPU | Memory | HDD (Gb) |
Hosting | 160 | 2 | 12 | 10 |
Web | 2000 | 2 | 6 | 10 |
Control | 4000 | 2 | 8 | 10 |
Media | 300 | 2 | 8 | 24 |
CM | 500 | 2 | 4 | 10 |
WebRTC | 2000 | 2 | 8 | 10 |
Vertically scaling services
Service | Cameras | VCPU | Memory | HDD (Gb) |
SQL DB Cluster | 2500 | 2 | 8 | 250 |
ELK Cluster | 2500 | 1 | 8 | 500 |
Turn Server | 5000 | 2 | 8 | 10 |
Backend/Postgres DB | 10000 | 2 | 8 | 10 |
Resources for 1,000
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cameras
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Computing and virtualization - 20 instances with 2 vCPU, 8GB each. It means we need a minimum of 40 threads = 20 cores with 160 GB of memory. It could be, for example, 1 Xeon with 28 cores (56 threads) and 256 GB. The overhead is for running Kubernetes.
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The estimate includes a 30% overhead on virtualization:
51 VCPU
232 GB RAM
1282 GB HDD
Example of a server: Xeon Skylake with 28 cores, 56 threads, and 256 GB RAM
Storage
Object storage
There are 2 options for the object storage:
Object storage server, like DELL ECS EX500 series.
General-purpose storage servers like Supermicro, Dell, or HP with object storage software such as minio, Ceph, or others.
Another source of hardware examples https://www.45drives.com/products/storinator-model-details.php
Resources for 1,000 cameras
One camera with 1Mbps and 30 days
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of retention will use approximately 350 GB of object storage. An example of a server for object storage is Xeon Silver with 20 threads and 32 GB RAM.