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Hardware requirements for 1,000 ONVIF 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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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

Object storage

One camera with 1Mbps and 30 days

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of retention will use apporximately 350 GB of object storage.

https://min.io/ is a one of the recommended options for object storage and the hardware requirements can be found here https://min.io/product/reference-hardware

Total resources for 1,000 cameras

The estimate includes a 30% overhead on virtualization:

  • 51 VCPU

  • 232 GB RAM

  • 1282 GB HDD

Example of a server: Xeon with 28 cores and 256 GB

Object storage for 30 days continuous recording - 350TB.