This architecture was evaluated in January 2023 with:
The system was designed for and tested against the specified workflows, with adjustments to the machine types and sizes as needed based on test results
Download a Microsoft Visio file of this architecture.
Learn more about diagramming resources for ArcGIS systems.
For more information on the software components and key interactions in this architecture, please review the Network Information Management System reference architecture
These are the machine sizes chosen and validated for this test study. It is still highly recommended that you go through a design process yourself to account for your business and technical requirements.
The following represent the machine sizes chosen and validated for the scope and purpose of this test study. However, it is highly recommended to follow a complete design process to account for your business and technical requirements.
Esri offers system architecture design services should you need help determining all of the different factors relating to your organization’s physical design, such as networking, storage, system environments, and sizing. Minimum system requirements for each component are listed in documentation available online.
The following are additional areas of consideration when designing a Network Information Management System and an explanation of some infrastructure choices made for this test study.
At least one third-party load balancer is required in a highly available ArcGIS Enterprise deployment- they handle client traffic to your portal and server sites and internal traffic between the software components. Although the ArcGIS Web Adaptor is considered a load balancer, it is insufficient on its own to serve as a load balancer in a high availability configuration. Therefore, in this test study, an Amazon Web Services (AWS) Application Load Balancer was used.
To successfully implement a highly available ArcGIS Enterprise deployment, the configuration stores must be stored in a highly available, shared location. This ensures this data remains accessible even if one server fails, providing uninterrupted service to end-users. Additionally, shared storage simplifies data management in a multi-machine deployment and improves scalability by centralizing data storage and allowing for expansion as needed.
Note that while antivirus software and AWS networking components are not illustrated in this diagram, they were present in the test study.