PROD/SCALE environment
Use the following configuration for the PROD/SCALE environment with one million to two million endpoints. For other endpoint quantities, refer to the sizing table at the bottom of this page.
Note: The data storage size varies based on the number of endpoints. Refer to the IMS sizing spreadsheet for disk size. Click here to download the IMS sizing spreadsheet.
|
Kafka Machine |
Specifications |
|---|---|
| OS | Red Hat Enterprise Linux 9.1 |
| Processor Cores | 4.00 |
| Memory RAM (GB) | 16.00 |
| OS Drive Storage (GB) | 64.00 |
| Data Storage (GB) | 750 |
|
PostgreSQL Machine |
Specifications |
|---|---|
| OS | Red Hat Enterprise Linux 9.1 |
| Processor Cores | 4.00 |
| Memory RAM (GB) | 16.00 |
| OS Drive Storage (GB) | 64.00 |
|
Data Storage (GB) with Hot Reading API |
325 |
|
Data Storage (GB) without Hot Reading API |
15 |
|
Application Machine |
Specifications |
|---|---|
| OS | Windows Server 2019 or 2022 |
| Processor Cores | 8.00 |
| Memory RAM (GB) | 32.00 |
| OS Drive Storage (GB) | 64.00 |
| Service Drive (GB) | 128 |
| Number of Servers | 2 |
If supporting more than two million endpoints, increase the PostgreSQL CPU to 8 cores with 32 GB RAM. The application server number should be based on the endpoint count shown in the following table.
|
Endpoint Range (million) |
Number of Application Servers |
|---|---|
| ≤ 1 | 2 |
| >1 and ≤ 3 | 3 |
| >3 and ≤ 5 | 4 |
| >5 and ≤ 7 | 5 |
Note: Add one server for every two million endpoints after exceeding five million endpoints. For high-speed message processing, add one server for every one million endpoints. These server configurations assume an interval length of five minutes with an export every 15 minutes.