Initially called GRaaS (GRASS as a Service), actinia has been developed to exploit GRASS GIS functionality via HTTPS REST API. GRASS locations, mapsets, vector and raster data as well as spatio-temporal data are available as resources to allow their management and visualization. With the existing (e.g. Landsat) and also recently emerging (Copernicus Sentinel) big geodata pools which are growing day by day, it is designed to follow the purpose of bringing algorithm to cloud geodata. It helps to prepare, analyse and provide a large amount of geoinformation without the need to have know-how of the data, of analysis, appropriate software (for automatisation) or scalable hardware resources.
Some of the features are persistent and ephemeral processing, user management to limit e.g. pixels, processes and duration of calculations as well as logging of API calls and used resources by each user. Another advantage is its easy deployment with docker. When deployed in a cloud based environment with OpenShift or docker-swarm, the integrated load balancer handles a cluster automatically.

Following the spirit of free and open software, we are proud to have emerged as an OSGeo community project and look forward to enlarge the actinia community.

Deutsche Telekom AG (DTAG) revolutionises the planning process of fibre networks (FTTH) to
* increase number of connected households and industries dramatically, and
* shorten the time to market in general.

For this goal DTAG, advanced geoprocessing algorithms including artificial intelligence (AI) automate the conversion of surface information into cost optimised potential trenches used in the fibre build process. The surface information is gathered by terrestrial laser scanners and photos as well as extracted through a complex analysis from aerial orthophotos. This surface information then is used in conjunction with other (open) data as an input for the provisioning of potential trenches needed for FTTH. The processing of these orthophotos as well as the calculation of trenches are handled by the open source actinia cloud geoprocessing engine. Actinia is a new OSGeo community project, offering a REST API to GRASS GIS. The actinia processes are scaled and implemented as a service in the Open Telekom Cloud.

In this talk, we present the handling of large and complex input data in the FTTH-process. Focus is on the usage of actinia, and how actinia supports a core process of the largest German telecommunication provider.

Deutsche Telekom AG (DTAG) revolutionises the planning process of fibre networks in order to increase the number of connected households and industries dramatically as well as to shorten the time to market in general. A brand-new world comprising the build up of a major SDI, lots of geodata and heavy geoprocessing is needed to substitute previous manual tasks and to sustain the goals.

Think about a project, that will be developed by +10 companies, each with its own frameworks, procedures and deployment workflows. To succeed, you'll need more than confidence in the team. This is also because of other complicating factors like IT security, large data pipelines or ever-changing IT infrastructure.

This is where DevOps and AGILE practices came to the rescue. It gave a structure and a common understanding of the workflows to every project member, as well provided enough automation and flexibility to adjust to the constant changes the project undergone.

In this talk, we’ll present the key challenges and how DTAG and the team of the FTTH-Factory successfully implements agile and DevOps workflows for the project. If we’re brave, we’ll do DevOps on stage.