alta4performance Tool

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alta4performanceTool for ArcGIS Server

The performance of your GIS-Server is a key element to your success.
As long as ArcGIS supplies you with maps quickly everybody is happy. But if you are dealing with a slow server, it can turn into a more than unpleasant experience for the user. Slow servers can process less requests and the hardware resources being used have to be upgraded, which implies additional licensing of the GIS-Server-Software, racking up tremendous costs.

 

Unsatisfied with your Server Performance?

The feedback from your users is mostly general ("the server is too slow") and does not really get you anywhere. If the performance is lacking, there is number of possible reasons for it:

- Is a certain scale slowing the maps down?

- What layers are slow?

- Is the database slowing the task down?

- Is the cartography too complex?

- What about labelling?

Prevent this from happening by analyzing and optimizing the performance of your mapping services before questions from customers, co-workers or superiors come up.

 

Solution: Professional Perfomance Analysis

The alta4performanceTool is an efficient tool to determine the performance of mapping services, running under ArcGIS Server Java Edition (ESRI).
Besides the hardware components, the performance is essentially depending on the ArcMap-MXD-File, defining among others the single layers of the cartography. The combination of layer selections and their visibility settings for various map scales, as well as the choice of labelling and symbolic options, have a significant impact on the performance of the task.
For that reason the awareness of the single layer's rendering speed is ever so important to administrators so they can optimize them if needed to. Assisted by the alta4performanceTool the user can be connected to a mapping service and measure the representation time of the single card elements. He can select various scales and choose particular layers to be included in the performance measuring.
As a result the user gets a detailed report in a PDF-Format, listing the single results: How fast was each layer working in a certain scale? In the process, the minimum-, maximum- and average figure of the rendering time are being measured.
Using the available data the user is now able to focus on the identified flaws to improve and quantify them: By how much is the service working faster after being optimized? How many more requests per hour can my servers process now?
Do you need support to tune your ArcGIS Server? Ask for our Consulting-Services. We would like to show optimization potential and guide you through the necessary steps.

 

Example: Performance comparison between three maps

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