How to reduce the number of arcsoc instances?

How to reduce the number of arcsoc instances?

Once the request is done being handled, that ArcSOC.exe process is free to be used by any other service in the shared pool. This can reduce the number of ArcSOC.exe processes running on the ArcGIS Server machine and is ideal for services that don’t need their own individual ArcSOC.exe processes.

How to reduce the number of ArcGIS instances?

Log in to ArcGIS Server Manager with an administrative account. Under Site (root) > System, click the service to modify. Click Pooling, and select the Shared instance pool radio button. Click Save and Restart. Option 2: Set the minimum number of instances to ‘0’. (Available in all versions of ArcGIS Server.)

What can I do with the ArcGIS Server?

ArcGIS Explorer is a free lightweight desktop client for ArcGIS Server that can display data in two or three dimensions. You can add your ArcGIS Server services as data in ArcGIS Explorer for a rich navigation and viewing experience. For advanced functionality, you can use the ArcGIS Explorer SDK to develop custom tasks that work with the services.

Can you use shared instances in ArcGIS Pro?

Services that have custom server object extensions (SOEs) or server object interceptors (SOIs) cannot use shared instances. Services published from ArcMap cannot use shared instances. Cached map services published from ArcGIS Pro that meet the above requirements can use shared instances.

Why are there so many instances of ArcGIS?

The problem occurs when a number of instances are running on a single host machine, thereby exceeding available memory limits, consuming excessive resources, and leading to an unstable service environment. ArcGIS for Server is tuned for optimal performance without additional configuration.

Why does ArcGIS work when the server is idle?

ArcGIS for Server is tuned for optimal performance without additional configuration. Even when the system is idle, it is set for a large volume of requests. When the system is put under load, the memory usage grows to accommodate the high performance functions being handled.