News in GRASS GIS7. Plenary talk at FOSS4G-CEE 2013, RomaniaMarkus Neteler
GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is the free Geographic Information System (GIS) software with the longest record of development as FOSS4G community project. The increasing demand for a robust and modern analytical free GIS led to the start of GRASS GIS 7 development in April 2008. Since GRASS 6 more than 10,000 changes have been implemented with a series of new modules for vector network analysis, image processing, voxel analysis, time series management and improved graphical user interface (http://trac.osgeo.org/grass/wiki/Grass7/NewFeatures). The core system offers a new Python API and large file support for massive data analysis. Many modules have been undergone major optimization also in terms of speed. The presentation will highlight the advantages for users to migrate to the upcoming GRASS GIS 7 release.
GRASS GIS 7: your reliable geospatial number cruncherMarkus Neteler
GRASS GIS (Geographic Resources Analysis Support System) looks back to the longest development history in the FOSS4G community. Having been available for 30 years, a lot of innovation has been put into the new GRASS GIS 7 release. After six years of development it offers a lot of new functionality, e.g. enhanced vector network analysis, voxel processing, a completely new engine for massive time series management, an animation tool for raster and vector map time series, a new graphic image classification tool, a "map swiper" for interactive maps comparison, and major improvements for massive data analysis (see also http://grass.osgeo.org/grass7/). The development was driven by the rapidly increasing demand for robust and modern free analysis tools, especially in terms of massive spatial data processing and processing on high-performance computing systems. With respect to GRASS GIS 6.4 more than 10,000 source code changes have since been made.
GRASS GIS 7 capabilities: a graphical overviewMarkus Neteler
The Geographic Resources Analysis Support System (http://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
Vom Laptop zum Großrechner: Neues in GRASS GIS 7Markus Neteler
GRASS GIS 7 bietet neue Module zur Vektornetzwerk-, Voxelanalyse, Zeitreihenspeicherung und -management, dazu ein Animationstool für Raster-und Vektorkartenzeitreihen, ein graphisches Bildklassifikationtool, "Map Swiper" zum interaktiven Kartenvergleich nebst verbesserter massiver Datenanalyse.
GRASS GIS (Geographic Ressourcen Analysis Support System) blickt mit nun 30 Jahren auf die längste Entwicklungsgeschichte in der FOSSGIS Community zurück. Die stark ansteigende Nachfrage nach robusten und modernen freien Analysewerkzeugen, v.a. im Hinblick auf die heutzutage enormen räumlichen Datenmengen führte 2008 zum Beginn der GRASS GIS 7 Entwicklung. In Bezug auf GRASS GIS 6.4 wurden inzwischen mehr als 10.000 Verbesserungen vorgenommen.
Die Entwicklercommunity hat eine Reihe von neuen Modulen für Vektornetzwerkanalyse, Bildverarbeitung, Voxelanalyse, Zeitreihenspeicherung (Raster, Vektor, Voxel) und eine verbesserte grafische Benutzeroberfläche integriert (http://trac.osgeo.org/grass/wiki/Grass7/NewFeatures). GRASS GIS 7 bietet eine neue Python Schnittstelle, die auf einfache Weise ermöglicht, neue Anwendungen zu erstellen, die leistungsfähig und effizient sind. In der Benutzeroberfläche gibt es nun ein neues Werkzeug für die Animation von Raster-und Vektorkartenzeitreihen, einen verbesserten Georektifier, ein neues Werkzeug zur überwachten Bildklassifikation, einen "map swiper" zum interaktiven Vergleich zweier Karten (z.B. für Katastrophen) und ein visuelles Zeitreihenmanagement.
Darüber hinaus wurde insbesondere die topologische Vektorbibliothek in Bezug auf die Unterstützung von großen Dateien verbessert. Des weiteren gibt es eine Reihe von neuen Analysefunktionen und auch im Raster-/Bildbereich die Unterstützung für massive Datenanalyse. Auch werden nun Projektionen andere Planeten unterstützt. Viele Module wurden in Bezug auf Geschwindigkeit signifikant optimiert. Der Vortrag illustriert die interessantesten Neuerungen und zeigt, wie Benutzer auf einfache Weise auf die kommende GRASS GIS 7 Version migrieren können. Testversionen stehen für alle üblichen Betriebssysteme zur Verfügung (http://grass.osgeo.org/download/software/).
News in GRASS GIS7. Plenary talk at FOSS4G-CEE 2013, RomaniaMarkus Neteler
GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is the free Geographic Information System (GIS) software with the longest record of development as FOSS4G community project. The increasing demand for a robust and modern analytical free GIS led to the start of GRASS GIS 7 development in April 2008. Since GRASS 6 more than 10,000 changes have been implemented with a series of new modules for vector network analysis, image processing, voxel analysis, time series management and improved graphical user interface (http://trac.osgeo.org/grass/wiki/Grass7/NewFeatures). The core system offers a new Python API and large file support for massive data analysis. Many modules have been undergone major optimization also in terms of speed. The presentation will highlight the advantages for users to migrate to the upcoming GRASS GIS 7 release.
GRASS GIS 7: your reliable geospatial number cruncherMarkus Neteler
GRASS GIS (Geographic Resources Analysis Support System) looks back to the longest development history in the FOSS4G community. Having been available for 30 years, a lot of innovation has been put into the new GRASS GIS 7 release. After six years of development it offers a lot of new functionality, e.g. enhanced vector network analysis, voxel processing, a completely new engine for massive time series management, an animation tool for raster and vector map time series, a new graphic image classification tool, a "map swiper" for interactive maps comparison, and major improvements for massive data analysis (see also http://grass.osgeo.org/grass7/). The development was driven by the rapidly increasing demand for robust and modern free analysis tools, especially in terms of massive spatial data processing and processing on high-performance computing systems. With respect to GRASS GIS 6.4 more than 10,000 source code changes have since been made.
GRASS GIS 7 capabilities: a graphical overviewMarkus Neteler
The Geographic Resources Analysis Support System (http://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
Vom Laptop zum Großrechner: Neues in GRASS GIS 7Markus Neteler
GRASS GIS 7 bietet neue Module zur Vektornetzwerk-, Voxelanalyse, Zeitreihenspeicherung und -management, dazu ein Animationstool für Raster-und Vektorkartenzeitreihen, ein graphisches Bildklassifikationtool, "Map Swiper" zum interaktiven Kartenvergleich nebst verbesserter massiver Datenanalyse.
GRASS GIS (Geographic Ressourcen Analysis Support System) blickt mit nun 30 Jahren auf die längste Entwicklungsgeschichte in der FOSSGIS Community zurück. Die stark ansteigende Nachfrage nach robusten und modernen freien Analysewerkzeugen, v.a. im Hinblick auf die heutzutage enormen räumlichen Datenmengen führte 2008 zum Beginn der GRASS GIS 7 Entwicklung. In Bezug auf GRASS GIS 6.4 wurden inzwischen mehr als 10.000 Verbesserungen vorgenommen.
Die Entwicklercommunity hat eine Reihe von neuen Modulen für Vektornetzwerkanalyse, Bildverarbeitung, Voxelanalyse, Zeitreihenspeicherung (Raster, Vektor, Voxel) und eine verbesserte grafische Benutzeroberfläche integriert (http://trac.osgeo.org/grass/wiki/Grass7/NewFeatures). GRASS GIS 7 bietet eine neue Python Schnittstelle, die auf einfache Weise ermöglicht, neue Anwendungen zu erstellen, die leistungsfähig und effizient sind. In der Benutzeroberfläche gibt es nun ein neues Werkzeug für die Animation von Raster-und Vektorkartenzeitreihen, einen verbesserten Georektifier, ein neues Werkzeug zur überwachten Bildklassifikation, einen "map swiper" zum interaktiven Vergleich zweier Karten (z.B. für Katastrophen) und ein visuelles Zeitreihenmanagement.
Darüber hinaus wurde insbesondere die topologische Vektorbibliothek in Bezug auf die Unterstützung von großen Dateien verbessert. Des weiteren gibt es eine Reihe von neuen Analysefunktionen und auch im Raster-/Bildbereich die Unterstützung für massive Datenanalyse. Auch werden nun Projektionen andere Planeten unterstützt. Viele Module wurden in Bezug auf Geschwindigkeit signifikant optimiert. Der Vortrag illustriert die interessantesten Neuerungen und zeigt, wie Benutzer auf einfache Weise auf die kommende GRASS GIS 7 Version migrieren können. Testversionen stehen für alle üblichen Betriebssysteme zur Verfügung (http://grass.osgeo.org/download/software/).
After that many years of development of mobile applications for working in the field, HydroloGIS recently release the new app to support all kind of outdoor activities, SMASH – Smart Mobile Application for Surveyor’s Happiness. SMASH (https://www.geopaparazzi.org/smash/index.html). SMASH is a user-friendly, modern, faster to develop and cross platform app for the eyes of IOS, Android, but also Macos and Linux users. The main functionalities are the possibility to collect georeferenced pictures, notes and GPS tracks logs.
It opens directly on the map view where it is possible to navigate local or online raster and vector data in different formats: Geopackage, shapefile, tiff+png+jpg with wtf, MBTiles, Mapsforge and GPX, all with a custom CRS and the support for standard SLD style definition. Online supported formats are WMS and TMS and there is a nice service catalog and wizard for adding most common WMS/TMS. Geopackage and PostGIS layers also have editing support.
SMASH simplifies the data collection and the export of the survey into easy processable data files (GPX, PDF) or through a direct synchronization with the GSS (Geopaparazzi Survey Server). The Survey Server has been redesigned with the same technology used by SMASH and has now the ability to visualize data in the same look and feel as the mobile app.
Notes serverside-versioning has been introduced to enhance synchronization of data by teams. A redmine plugin is being developed by community members to create a geo-ticketing system.
This presentation gives an insight about the state of the art of the SMASH focusing on the possible applications and customization.
Visualisation of Complex 3D City Models on Mobile Webbrowsers Using Cloud-bas...Martin Christen
Talk at Geospatial Week 2015 in La Grande Motte (near Montpellier), France. The paper is available at: http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/517/2015/isprsannals-II-3-W5-517-2015.pdf
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
Presentation of the article An Overview on Current Free and Open Source Desktop GIS Developments by Steininger & Bocher for the GISc Module at NTNU, Norway
After that many years of development of mobile applications for working in the field, HydroloGIS recently release the new app to support all kind of outdoor activities, SMASH – Smart Mobile Application for Surveyor’s Happiness. SMASH (https://www.geopaparazzi.org/smash/index.html). SMASH is a user-friendly, modern, faster to develop and cross platform app for the eyes of IOS, Android, but also Macos and Linux users. The main functionalities are the possibility to collect georeferenced pictures, notes and GPS tracks logs.
It opens directly on the map view where it is possible to navigate local or online raster and vector data in different formats: Geopackage, shapefile, tiff+png+jpg with wtf, MBTiles, Mapsforge and GPX, all with a custom CRS and the support for standard SLD style definition. Online supported formats are WMS and TMS and there is a nice service catalog and wizard for adding most common WMS/TMS. Geopackage and PostGIS layers also have editing support.
SMASH simplifies the data collection and the export of the survey into easy processable data files (GPX, PDF) or through a direct synchronization with the GSS (Geopaparazzi Survey Server). The Survey Server has been redesigned with the same technology used by SMASH and has now the ability to visualize data in the same look and feel as the mobile app.
Notes serverside-versioning has been introduced to enhance synchronization of data by teams. A redmine plugin is being developed by community members to create a geo-ticketing system.
This presentation gives an insight about the state of the art of the SMASH focusing on the possible applications and customization.
Visualisation of Complex 3D City Models on Mobile Webbrowsers Using Cloud-bas...Martin Christen
Talk at Geospatial Week 2015 in La Grande Motte (near Montpellier), France. The paper is available at: http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/517/2015/isprsannals-II-3-W5-517-2015.pdf
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
Presentation of the article An Overview on Current Free and Open Source Desktop GIS Developments by Steininger & Bocher for the GISc Module at NTNU, Norway
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
Dati satellitari e prodotti derivati in modalità open and free del programma ...giovannibiallo
Dati satellitari e prodotti derivati in modalità open and free del programma Copernicus - Marcello Maranesi (e-GEOS) - Conferenza OpenGeoData Italia 2015
Tracking emerging diseases from space: Geoinformatics for human healthMarkus Neteler
European and other countries are at increasing risk for new or re-emerging vector-borne diseases. Among the top ten vector-borne diseases with greatest potential to affect European citizens are Dengue fever, Chikungunya, Hantavirus, and Crimean-Congo hemorrhagic fever. Despite the risk of disease transmission, many vectors like the Asian tiger mosquito or ticks are also a nuisance in daily life. The examination of disease vector spread and a better understanding of spatio-temporal patterns in disease transmission and diffusion is greatly facilitated by Geoinformatics. New methods including the use of high resolution time series from space in spatial models enable us to predict species invasion and survival, and to assess potential health risks. Geoinformatics is able to address the increasing challenge for human and veterinary public health not only in Europe, but across the globe, assisting decision makers and public health authorities to develop surveillance plans and vector control.
Deriving environmental indicators from massive spatial time series using open...Markus Neteler
Geospatial Analytics Forum at North Carolina State University, 4 Sept 2014 - http://geospatial.ncsu.edu/about/geoforum/
See also: http://opensource.com/education/14/9/back-school-grass-gis
From a niche to a global user community: Open Source GIS and OSGeoMarkus Neteler
OGRS 2009: International Opensource Geospatial Research Symposium
www.ogrs2009.org
From a niche to a global user community: Open Source GIS and OSGeo
Markus Neteler
IASMA Research and Innovation Centre
Fondazione Edmund Mach
Environment and Natural Resources Area
GIS and Remote Sensing Unit, Trento, Italy
Web: http://gis.fem-environment.eu/
Email: markus.neteler . iasma.it
Geographical Information Systems (GIS) have evolved from a highly specialized niche to a technology that affects nearly every aspect of our lives, from finding driving directions to managing natural disasters. The masses have discovered geospatial data and technologies through the availability of popular globes; wiki-fied street mapping which was started by a few individuals has grown to weekly mapping parties around the globe. Today almost everybody can create customized maps or overlay GIS data. Current GIS technology covers viewing maps and images on the web, simple and complex spatial analysis, modeling and simulations.
In our presentation we'll present highlights of the last 20 years of Open Source GIS developments. Many projects are born as initiative of individuals when the lack of available software for a specific application is solved by own development and the result is then made available to the public on the Internet for further collaborative development. In the early 80's, the first Open Source GIS (MOSS and GRASS GIS) reached production status followed by the PROJ4 library project, a first crucial library for many Open Source GIS applications. In 1995 the UMN MapServer project was started to implement OGC standard. The second cross-project library GDAL/OGR was born in 1998. While these projects became mature, new applications were started with partially extraordinary success (OpenEV, OSSIM, MapBuilder, PostGIS, Geoserver, Quantum GIS, uDIG, MapGuide Open Source, MapBender, gvSIG, Geonetwork and OpenLayers).
The wealth of available but partially unconnected projects suggested to establish an umbrella foundation to foster source code and knowledge sharing. Hence, in February 2006, the Open Source Geospatial Foundation (OSGeo, www.osgeo.org) has been created to support and promote worldwide use and collaborative development of Open Source geospatial technologies and data. The foundation supports outreach and advocacy activities to promote Open Source concepts. It also builds shared infrastructure for improved cross-project collaboration. OSGeo has been a stimulating force for cooperative developments of sister projects, leveraging each other efforts by developing shared architecture components and expanding interoperability.
To become an OSGeo member, the software project needs to undergo a rigorous review of its source code, development structure and community health. In these community-developed projects a whole “ecosystem” of users, translators, developers, and provides quick support and tested solutions, both for beginners and professionals.
In our opinion, Open Source GIS is an appropriate choice for scientific computing as it is developed in a peer review process. We will show some case studies for GRASS GIS usage in research which illustrates its academic roots especially in environmental applications. This covers analysis of spatio-temporal data sets such as multi-temporal Lidar and remote sensing data including processing of large amounts of geospatial data on a cluster.
GRASS and OSGeo: a framework for archeologyMarkus Neteler
Use of GIS and geospatial data in archeology. Contribution to:
Quarto Workshop Italiano "Open Source, Free Software e Open Format nei processi di ricerca archeologica", Roma, 27 e 28 aprile 2009. Sede centrale del Consiglio Nazionale delle Ricerche (CNR)
http://www.archeo-foss.org/
Abstract:
With the widespread availability of desktop GIS, archaeologists have gained the tools to comprehensively analyze the important spatial component of their data. Initial archaeological use of GIS was (and still is in many instances) for making maps of archaeological sites. Rather quickly GIS became used for predictive modeling of site locations. More recently, viewshed analysis has seen increasing use, in efforts to understand prehistoric perceptions of the landscape.
In the last years, Open Source GIS software evolved to a powerful set of software products which support both scientific as well as common GIS users. In particular, the integration of GIS with image processing capabilities, geospatial data analysis, database management system and Web mapping software enables archaeologists to perform their tasks in a completely free environment. Since 2006, the Open Source Geospatial Foundation (OSGeo) operates as umbrella foundation for Web Mapping, Desktop GIS Applications, Geospatial Libraries, Metadata Catalog as well as the Public Geospatial Data project and the Education and Curriculum project.
In our presentation, we focus on GRASS GIS (http://grass.osgeo.org/) for spatial data analysis and visualization. GRASS is the largest Open Source GIS program currently available. The new version GRASS 6.4.0 is interoperable as it supports all common vector and raster GIS formats. Its capabilities cover raster and volume spatial analysis and modeling, time-series and landscape analysis, image processing, and visualization of 2D and 3D (voxel) raster data. Vector data can be digitized, extracted, extruded to 3D, and vector networks analyzed. Vector data are handled topologically. Vector attributes are stored in internal or externally connected databases. All general GIS tasks like map reprojection, georeferencing, and transformations are available for raster and vector data. The data storage concept of GRASS permits for single as well as multi-user access set up via network file system.
GRASS 6.4.0, the new stable release after more than one year of development and testing, brings a number of exciting enhancements to the GIS. Besides the hundreds of new module features, supported data formats, and language translations. The 6.4.0 release also runs in MS-Windows, a new installer is provided. A new graphical user interface with integrated location wizard and new vector digitizer is also included.
The presentation concludes with a series of applications relevant to archaeology including image processing, Lidar data analysis, fast viewshed analysis and more.
The need of Interoperability in Office and GIS formatsMarkus Neteler
Free GIS and Interoperability: The need of Interoperability in Office and GIS formats
GIS Open Source, interoperabilità e cultura del dato nei SIAT della Pubblica Amministrazione
[GIS Open Source, interoperability and the 'culture of data' in the spatial data warehouses of the Public Administration]
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Good afternoon and welcome to my talk with the bold title „ Scaling up globally: 30 years of FOSS4G development“ I am very happy to be here, and would like to thank the organizers for the kind invitation. In my presentation I'll briefly review 3 decades of Open Source GIS development, compressed to 30 minutes! Hence, omissions are unavoidable. BTW: The term FOSS4G was coined only in 2004 but I use it in the title as an hommage to the community and its ideals. So, let's now look back 30 years – back to the 80 th ...
Well... what's this? Do you recognise it?
Hence we start in 1980: A student named Jim Westervelt was completing his Master thesis. He wrote the LAGRID software which became the core of the later GRASS GIS software. In the early 1980s the U.S. Army Corps of Engineers' Construction Engineering Research Laboratory (USA/CERL) in Champaign, Illinois, began to explore the possibilities of using GIS to conduct environmental research, assessments, monitoring and management of lands under the stewardship of the U.S. Department of Defense. Bill Goran of CERL conducted a survey and discovered that no existing GIS satisfied their needs. Hence CERL hired several programmers, and began to develop a hybrid raster-vector GIS for the VAX UNIX minicomputers (photo) . Lynn Van Warren was the founding software architect of GRASS. Very important: PROJ (today PROJ.4) – the Cartographic Projections Library essential for many projects, was started in 1983 by Gerald Evenden
CERL then upgraded their machines to the latest technology, see what you could get for 33,000 USD.... e.g. including a 80MB disks for 6500 USD. Around 1984 new analytical functionality was available, some command names at least the GRASS users in this room will be familiar with :-) Please note that it took still another almost 10 years to have the World Wide Web being invented...
In the corner photo you see what data exchange meant in those days. Landsat 5 was launched in 1984, GRASS 1.0 was released a year later. Of huge importance for the Free Software development was the publication of the GNU manifesto by Richard Stallman (the “four freedoms” were defined). In 1987 a GRASS video was produced with William Shatner, known as Captain Kirk of Star Trek, being the speaker. And 5.25 inch floppies were becoming fashion in these days for tiny data sets!
And then finally an initial internet release of Open Source GIS software! Still there was almost nobody online in those days, at least not able to download 100 MB of source code... The big spread of internet happened due to the acceptance of TCP/IP as protocol. Information exchange happened via FTP. Today all geeks are sharing code via SVN or git or other online code sharing repositories. But back in the 80th there was no online system like this. Either manual management or at most RCS which is file based.
So, the first decade of Open Source GIS concluded with the online publication of software (yet with a tiny user group being also online). Consider to think back when you went online the first time! Anyway, let us hop into the next decade: the 90th! A lot happened here, new hardware, new software, and way more data! And especially the advent of the internet society was a social revolution.
In 1990 GRASS 4.0 came out, a key release which was the foundation for the GRASS' architecture. On the “social” side, two mailing lists were started, the grass-user and the grass-dev lists. Those are probably the longest, active mailing lists of the internet with more than 2 decades of archive! Still no WWW, but information exchange happened FTP and Gopher. The photo shows core developers: - Michael Shapiro - Jim Westervelt - Bill Goran (the coordinator)
With the availability of new graphics CPUs a completely new way of rendering became possible. OpenGL was designed with hardware acceleration. Like this, fly-thoughs as seen in the left figure as well as 3D and even 4D animations came to life (here, water contamination modeled as voxels which are changing in time). I remember from working as a student at the Hannover CeBIT computer fair, to enjoy the demos of the SGI machines while carrying around newspapers across the fair area.
At the level of organizations many changes occurred: the GIS world became more professional and organized. In 1992 the GRASS Interagency Coordinating Commitee was founded, it was turned into the Open GRASS Foundation which then became the OpenGIS Consortium. The timeline shows the evolution. While Tim Berners-Lee constituted the World Wide Web Consortium, the today's OGC was established.
The rationale behind the establishing of the OGC you find described in an article written by Kenn Gardels. It got published in the “GRASSCLIPPINGS” issue of Fall 1993. Here the fact that interoperability is a core issue is pointed out. BTW: If you are interested, the scan is online, all links in my presentation which I'll upload later, are pointing to the respective documents.
This map shows the internet accessibility in the year 1998 – people being online in percent. As you see, in those days internet was yet restricted to a few countries in terms of accessibility. And, obviously: without internet no distributed source code development nor easy geodata exchange.
In the year 1993 the first Web application came up, the Xerox PARC map viewer [refer to the previous talk of Maria Brovelli] In 1994 the 1.0 version of Linux was released and shortly after GRASS GIS ported to it. This was still a tough job since the compiler tools where not as mature as nowadays. The year 1995 was a key year for the WebGIS community with the start of the Mapserver project. And... wow, a first spam email reached the ML
What happened in the WebGIS sector: Probably less known is the this first “Web Processing“ style service which was published back in 1994. It was an interactive GIS controllable through the WWW, developed by Susan Huse based on her PhD thesis. This system was able to ...
… perform true analysis in a user controllable way using CGI scripts. Of course it is not comparable with anything you can do today but remember the internet accessibility map of 1998 which I have shown earlier. We are still in the “prototype” years and draft WPS specifications were published only almost a decade later.
With the advent of the collaborative internet based development tools , a series of new projects like GeoTools, deegree, GDAL/OGR were started. In 1998 I started the European GRASS GIS server, completely non-authorized of course (except for the ILN landscape architecture institute at the university)... it turned out to be a good idea to take control. BTW: Anyone here remembering the year 2000 bug? It stimulated us to move the GRASS code from manual code management via email to something more sophisticated called CVS. This was a server based code repository and checkins became independent of a single person who had to read emails and act upon.
Well, we happily survived the Year 2000 bug and reached the next decade... Now Communities growing together! This drawing has been done by the older daugther of Venka (Venkatesh Raghavan in Osaka) for the initial 2004 FOSS4G conference in Bangkok which I'll mention shortly
In just a few years a lot of new software projects were started, I don't have the time to illustrate them in details. You see that all adopted the collaborative tools for development. From the demand to get coordination among these projects the idea arose to create an umbrella foundation , OSGeo, as illustrated by Jeff McKenna earlier today.
For the term “FOSS4G” we have to thank Venka once more. He proposed the conference title in 2004 for the conference at Chulalongkorn University. Also Jim Westervelt came to give us an authentic lecture about the early days at this meeting.
The next slides will be much more familiar for you... code sprint photos Here the mapbender team in 2007 and the QGIS hackfest in Pisa in 2010.
For those not familiar with it: - it is a gathering of likeminded people - no need to be a developer - newcomers are there up to core developers Instead of writing 10 emails to discuss an issue, we just discuss it directly, rarely long with some beer And: The outcome of such a week is often impressive. Next chance for you: on Thursday this week!
After these years of community based software development, the emerge of Wikipedia also crowd mapping came up. No need to explain OpenStreetMap here but for sure the Haiti earthquake example is to be mentioned. It is illustrating an outstanding effort of people around the globe gathering virtually together and helping in an emergency situation. The map shows the geodata situation in January 2010 when a magnitude 7 earthquake occurred – almost no geodata available which were urgently needed.
This is the situation a few days later. Based on high resolution satellite data which were made available by the big data providers, the OSM community was able to generate in an extremely short time a detailed coverage of digital data. A similar effort was done after the Great East Japan Earthquake 2011, you will remember it.
The increasing demand for geospatial data in the Web browser and increasing interactivity naturally requires the adoption of new emerging technologies. An interesting new method of fundraining, instead of direct sponsoring by a few is after crowd knowledge (Wikipedia) and crowd mapping (OSM) now crowd funding where till a deadline a certain funding goal should be achieved. Example: OpenLayers 3 funding, aiming at more than 300,000 USD – and they are almost there!
There are also new possibilities for plotting maps: from 2D to 3D using rapid prototyping technologies which have been directly connected to Open Source GIS. Here an example of the polar ice cap of Mars (so, no need to restrict yourself to mother Earth): The processing chain was: from Radar remote sensing data to voxels to 3D plots
Since we like to think big, why to getting our tools on Supercomputers running... Indeed, we are already there: PROJ4, GDAL and GRASS GIS are available even on TOP500 systems. The harder part was to get it compiled on Non-Linux Supercomputers :-) For massive data processing currently job managers are supported. Work is underway for GPU based clusters which require a major source code restructuring.
Since not everybody has a supercomputer reachable, a lot of efforts have been done on processing massive data on even consumer hardware. Here an example from a power user who managed to process 8.5 billion lidar points on his home computer. With this touching base I would like to conclude my quick ride through 30 years of Open Source GIS development and conclude with...
Happy birthday, GRASS GIS And Thanks to all FOSS4G contributors all over the world. Thank you for listening