How can organizations effectively scale their ArcGIS Enterprise systems?

The effective scaling of ArcGIS Enterprise systems is primarily achieved by adding more instances of ArcGIS Server and optimizing load balancers. This approach allows organizations to handle increased loads and improve performance by distributing incoming requests across multiple server instances.

When you scale out by adding more server instances, you can manage more concurrent users and more complex queries, which is essential for maintaining responsiveness in high-demand scenarios. Load balancers play a critical role in this configuration, as they intelligently distribute client requests to the available servers, ensuring even usage and maximizing resource efficiency. This setup not only enhances performance but also provides redundancy; if one server fails, others can continue processing requests, thus increasing system resilience.

In contrast, relying on a single instance of ArcGIS Server does not provide the same scalability, as it limits the system's ability to manage concurrent processes and heavy loads. Decreasing the number of services or eliminating cloud deployments can further restrict the ability to scale effectively, making them less viable options for organizations that need to expand their capabilities.