Powerful analytics and insights can be shared organization-wide with GSF, which scales up or down to meet demands and is Cloud and data agnostic, easily installed within existing infrastructure to take advantage of current asset investments.
Geospatial Services Framework
GSF is deployed in the enterprise and allows powerful analytics and insights to be shared organization-wide.
Data Support
GSF analytic routine results are easily pushed to the web. Web clients can be tailored according to organizational need and can provide detail specific to end users.
Analytics at scale
Using the full power of Cloud and enterprise architecture, GSF can quickly run automated analytics on existing or new and incoming data.
Access to results
GSF analytic routine results are easily pushed to the web. Web clients can be tailored according to organizational need and can provide detail specific to end users.
Tools to get started
GSF provides the fundamental tools to get up and running, plus the capability to replace components or extend functionality.
Request handler
Implements REST-based API which provides HTTP endpoints for initiating jobs, retrieving status and accessing resources.
Parameter mapper
Maps resources and translates input and output values to appropriate representations such as Amazon S3, GeoServer WCS and ENVI data sources.
Engines
Wrap whatever API the engine provides by implementing a JavaScript module that defines tasks and maps them to engine execution.
Route mapper
Allows queues to be defined for specific tasks, jobs and workflows like a high performance route for GPU enabled processing.
Workspace manager
Creates and maintains all workspace files for each job which can be distributed across local, shared and Cloud-enabled workspaces.
Job manager
Each job references task(s) with required parameters; job manager submits jobs for processing. Can be updated to use your job manager.