DEV/TEST environment
Use the following configuration for the DEV and UAT/TEST environments. If the number of endpoints exceeds one million, refer to the sizing spreadsheet and follow the guidelines for a PROD/SCALE environment.
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.
Approach 1
This approach applies to a single server with Kafka and PostgreSQL but with separate data disks for each.
Note: This approach is recommended as the DEV/TEST environment. It typically supports a smaller load and has been tested for one million endpoints. For larger loads, use a dedicated server for both Kafka and PostgreSQL.
| 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 |
| Kafka Data Storage (GB) | 750 |
|
DB Data Storage (GB) with Hot Reading API |
325 |
|
DB Data Storage (GB) without Hot Reading API |
25 |
| 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 | 1 |
Approach 2
This approach applies to dedicated servers for Kafka and PostgreSQL.
Note: This approach been tested for one million endpoints. For larger loads, use a dedicated server for both Kafka and PostgreSQL, as well as two application servers for IMS services. Multiple IMS instances can be installed to support processing for reading data flow.
|
Kafka Machine |
Specifications |
|---|---|
| OS | Red Hat Enterprise Linux 9.1 |
| Processor Cores | 2.00 |
| Memory RAM (GB) | 8.00 |
| 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 | 4.00 |
| Memory RAM (GB) | 16.00 |
| OS Drive Storage (GB) | 64.00 |
| Service Drive (GB) | 128 |
| Number of Servers | 2 |
The following table lists pre-calculated data disk size requirements for Kafka and PostgreSQL by number of supported endpoints.
|
Endpoints (millions) |
Kafka Disk (GB) |
PostgreSQL Disk (GB) with Hot Reading |
PostgreSQL Disk (GB) w/o Hot Reading |
|---|---|---|---|
| 1 | 750 | 325 | 15 |
| 2 | 1500 | 650 | 30 |
| 3 | 2250 | 960 | 45 |
| 4 | 3000 | 1275 | 60 |
| 5 | 4000 | 1600 | 75 |
Note: If the DEV/TEST environment supports fewer than ~100K endpoints, then you can install services on a single application server (8 core, 32 GB) instead of two servers (this option is not recommended). Kafka and PostgreSQL can run on a single server but must use a different data drive for each (4 core, 16 GB RAM, RHEL 9.1 Linux server). The data disks size for Kafka and PostgreSQL will vary based on endpoint count.