Logacity

Log analysis for web-mapping services

Logacity is a web-log analysis tool designed to parse the logs that your geospatial server creates. Logacity provides detailed, useful information on how your users are using your geospatial web-services.

Bar Graph

Insights into service usage

Logacity provides you with insights into the usage of your mapping services.

  • What's your most popular WMS layer?
  • How often do users query your WFS data?
  • What level should you pre-generate your TMS and WMTS tiles to?
  • What projection are most of your users using?

All of these questions are more can be answered with Logacity.

Table of layer use

Better direct your resources

By looking at the actual usage of your mapping services, you will be better able to provision your resources.

If you see that lots of your QGIS staff are using your mapping services but none of your ArcGIS staff are, maybe the ArcGIS staff need some pointers?

Is no-one is using one of your WMTS base-maps; maybe you can drop it?

Are a handful of layers on your public facing site receiving 90% of the interest; you can make a business case to redirect more resources into those datasets.

Pie Chart of client software.

Easy-to-use interface

Logacity comes with a modern, easy-to-use front-end that allows you to easily dive into the data without feeling overwhelmed. Simple, attractive, and informative charts are used to represent the data, or you can dig in and browse through it in table format.


Try the demo
Screenshot of Logacity interface

Understand your users

As well as the unique mapping-service insights it offers, Logacity also provides the standard service-usage analysis you get with any good piece of log-analysis software. This allows you to answer question like:

  • Where in the world are my users?
  • What browser\GIS-client do they use?
  • How many users do my services get a day?
  • What day of the week is my service most used?
And all of this in the same easy-to-use interface.
Choropleth map of the world, highlighting number of users per country.

Extensible

Logacity is built on SQLite and has a simple non-relational data structure, there's no vendor lock-in. So if you want to delve deeper into the data to answer very specific questions it's a simple matter of whipping up some SQL.

If that's not enough, the source code is open, so you can edit and modify the program itself (either the Analyser or the Viewer) to suit your needs. Or we can add modify it for you if you want, just drop us an email.

Screenshot of some Python code