ºÝºÝߣshows by User: GeorgOettl / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: GeorgOettl / Wed, 20 Jan 2021 11:28:10 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: GeorgOettl Lessons learned in distributed agile engineering on a large scale integration solution /slideshow/lessons-learned-in-distributed-agile-engineering-on-a-large-scale-integration-solution/241600415 maribor-ots-georg-210120112810
Speeding up the production of software development is a typical request to software development teams. A naive solution to this problem is to simply double the people working in a team to consequently double the output of the team. However, as experience shows, this typically introduces problems like organizational overhead, more communication effort, poor common understanding of coding style and functional requirements, less people with a good overview, poor ramp up and knowledge transfer capabilities. Therefore, we need different, more feasible approaches. In this paper, we describe such approaches, more specifically, we describe how visualizations, communication tools, team size and team staffing influence software development speed. This paper provides hands-on experience on how to reach the goal of delivering working and well-crafted software in time and in a distributed working environment at Infonova. We identified the following key areas for successful scaling and distributing of agile engineering: (1) team organization, (2) infrastructure for distributed development and (3) automatic visualizations and feedback. ºÝºÝߣs for a talk held in 2012 at the OTS Software Conference in Maribor (http://ots.si/Prejsnje_konference/OTS_2012/Povzetki.html#G_Oettl) ]]>
Speeding up the production of software development is a typical request to software development teams. A naive solution to this problem is to simply double the people working in a team to consequently double the output of the team. However, as experience shows, this typically introduces problems like organizational overhead, more communication effort, poor common understanding of coding style and functional requirements, less people with a good overview, poor ramp up and knowledge transfer capabilities. Therefore, we need different, more feasible approaches. In this paper, we describe such approaches, more specifically, we describe how visualizations, communication tools, team size and team staffing influence software development speed. This paper provides hands-on experience on how to reach the goal of delivering working and well-crafted software in time and in a distributed working environment at Infonova. We identified the following key areas for successful scaling and distributing of agile engineering: (1) team organization, (2) infrastructure for distributed development and (3) automatic visualizations and feedback. ºÝºÝߣs for a talk held in 2012 at the OTS Software Conference in Maribor (http://ots.si/Prejsnje_konference/OTS_2012/Povzetki.html#G_Oettl) ]]> Wed, 20 Jan 2021 11:28:10 GMT /slideshow/lessons-learned-in-distributed-agile-engineering-on-a-large-scale-integration-solution/241600415 GeorgOettl@slideshare.net(GeorgOettl) Lessons learned in distributed agile engineering on a large scale integration solution GeorgOettl Speeding up the production of software development is a typical request to software development teams. A naive solution to this problem is to simply double the people working in a team to consequently double the output of the team. However, as experience shows, this typically introduces problems like organizational overhead, more communication effort, poor common understanding of coding style and functional requirements, less people with a good overview, poor ramp up and knowledge transfer capabilities. Therefore, we need different, more feasible approaches. In this paper, we describe such approaches, more specifically, we describe how visualizations, communication tools, team size and team staffing influence software development speed. This paper provides hands-on experience on how to reach the goal of delivering working and well-crafted software in time and in a distributed working environment at Infonova. We identified the following key areas for successful scaling and distributing of agile engineering: (1) team organization, (2) infrastructure for distributed development and (3) automatic visualizations and feedback. ºÝºÝߣs for a talk held in 2012 at the OTS Software Conference in Maribor (http://ots.si/Prejsnje_konference/OTS_2012/Povzetki.html#G_Oettl) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maribor-ots-georg-210120112810-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Speeding up the production of software development is a typical request to software development teams. A naive solution to this problem is to simply double the people working in a team to consequently double the output of the team. However, as experience shows, this typically introduces problems like organizational overhead, more communication effort, poor common understanding of coding style and functional requirements, less people with a good overview, poor ramp up and knowledge transfer capabilities. Therefore, we need different, more feasible approaches. In this paper, we describe such approaches, more specifically, we describe how visualizations, communication tools, team size and team staffing influence software development speed. This paper provides hands-on experience on how to reach the goal of delivering working and well-crafted software in time and in a distributed working environment at Infonova. We identified the following key areas for successful scaling and distributing of agile engineering: (1) team organization, (2) infrastructure for distributed development and (3) automatic visualizations and feedback. ºÝºÝߣs for a talk held in 2012 at the OTS Software Conference in Maribor (http://ots.si/Prejsnje_konference/OTS_2012/Povzetki.html#G_Oettl)
Lessons learned in distributed agile engineering on a large scale integration solution from Georg テ釦tl
]]> 97 0 https://cdn.slidesharecdn.com/ss_thumbnails/maribor-ots-georg-210120112810-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Softwaremonitoring mit prometheus https://de.slideshare.net/slideshow/softwaremonitoring-mit-prometheus/82376937 softwaremonitoringmitprometheus-171120131315
Presentation über Software Monitoring mit Prometheus für Java Entwickler. Vortrag von Jax 2017 in Mainz.]]>
Presentation über Software Monitoring mit Prometheus für Java Entwickler. Vortrag von Jax 2017 in Mainz.]]> Mon, 20 Nov 2017 13:13:15 GMT https://de.slideshare.net/slideshow/softwaremonitoring-mit-prometheus/82376937 GeorgOettl@slideshare.net(GeorgOettl) Softwaremonitoring mit prometheus GeorgOettl Presentation über Software Monitoring mit Prometheus für Java Entwickler. Vortrag von Jax 2017 in Mainz. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/softwaremonitoringmitprometheus-171120131315-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation über Software Monitoring mit Prometheus für Java Entwickler. Vortrag von Jax 2017 in Mainz.
from Georg テ釦tl
]]> 272 0 https://cdn.slidesharecdn.com/ss_thumbnails/softwaremonitoringmitprometheus-171120131315-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Dynamic Infrastructure and Container Monitoring with Prometheus /slideshow/dynamic-infrastructure-and-container-monitoring-with-prometheus/82375687 dynamicinfrastructureandcontainermonitoringwithprometheus-171120124443
Presentation on prometheus and its role in DevOps and how datascience might help in this scenario.]]>
Presentation on prometheus and its role in DevOps and how datascience might help in this scenario.]]> Mon, 20 Nov 2017 12:44:43 GMT /slideshow/dynamic-infrastructure-and-container-monitoring-with-prometheus/82375687 GeorgOettl@slideshare.net(GeorgOettl) Dynamic Infrastructure and Container Monitoring with Prometheus GeorgOettl Presentation on prometheus and its role in DevOps and how datascience might help in this scenario. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dynamicinfrastructureandcontainermonitoringwithprometheus-171120124443-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation on prometheus and its role in DevOps and how datascience might help in this scenario.
Dynamic Infrastructure and Container Monitoring with Prometheus from Georg テ釦tl
]]> 671 2 https://cdn.slidesharecdn.com/ss_thumbnails/dynamicinfrastructureandcontainermonitoringwithprometheus-171120124443-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Infonova Devopscon München 2015 https://de.slideshare.net/slideshow/infonova-devopscon-mnchen-2015/59517715 infonovadevopssdevopscon-final-160314075824
2000 Build-Jobs, 35 aktive Entwicklungsprojekte, 250 Entwickler – um in diesem Setting die Build-Umgebung flexibel und gleichzeitig reproduzierbar zu halten, kommt bei Infonova ein Technologie-Stack bestehend aus Mesos, Docker, CoreOS und OpenStack zum Einsatz.]]>
2000 Build-Jobs, 35 aktive Entwicklungsprojekte, 250 Entwickler – um in diesem Setting die Build-Umgebung flexibel und gleichzeitig reproduzierbar zu halten, kommt bei Infonova ein Technologie-Stack bestehend aus Mesos, Docker, CoreOS und OpenStack zum Einsatz.]]> Mon, 14 Mar 2016 07:58:24 GMT https://de.slideshare.net/slideshow/infonova-devopscon-mnchen-2015/59517715 GeorgOettl@slideshare.net(GeorgOettl) Infonova Devopscon München 2015 GeorgOettl 2000 Build-Jobs, 35 aktive Entwicklungsprojekte, 250 Entwickler – um in diesem Setting die Build-Umgebung flexibel und gleichzeitig reproduzierbar zu halten, kommt bei Infonova ein Technologie-Stack bestehend aus Mesos, Docker, CoreOS und OpenStack zum Einsatz. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/infonovadevopssdevopscon-final-160314075824-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2000 Build-Jobs, 35 aktive Entwicklungsprojekte, 250 Entwickler – um in diesem Setting die Build-Umgebung flexibel und gleichzeitig reproduzierbar zu halten, kommt bei Infonova ein Technologie-Stack bestehend aus Mesos, Docker, CoreOS und OpenStack zum Einsatz.
from Georg テ釦tl
]]> 256 8 https://cdn.slidesharecdn.com/ss_thumbnails/infonovadevopssdevopscon-final-160314075824-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Authoring System in TARGET /slideshow/main-3946597/3946597 main-100503044841-phpapp01
Workshop zu „Authoring Systems" Organisation: Dietrich Albert (KFU und TU Graz) und Hermann Körndle (TU Dresden)]]>
Workshop zu „Authoring Systems" Organisation: Dietrich Albert (KFU und TU Graz) und Hermann Körndle (TU Dresden)]]> Mon, 03 May 2010 04:48:38 GMT /slideshow/main-3946597/3946597 GeorgOettl@slideshare.net(GeorgOettl) Authoring System in TARGET GeorgOettl Workshop zu „Authoring Systems" Organisation: Dietrich Albert (KFU und TU Graz) und Hermann Körndle (TU Dresden) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/main-100503044841-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Workshop zu „Authoring Systems&quot; Organisation: Dietrich Albert (KFU und TU Graz) und Hermann Körndle (TU Dresden)
Authoring System in TARGET from Georg テ釦tl
]]> 373 4 https://cdn.slidesharecdn.com/ss_thumbnails/main-100503044841-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Non-invasive data tracking in educational games /slideshow/inted-praesentation/3395394 slgointedpraesentationfinal-12683023363602-phpapp01
Combination of logfiles and Natural Language Processing Presentation from 2010 in Valencia.]]>
Combination of logfiles and Natural Language Processing Presentation from 2010 in Valencia.]]> Thu, 11 Mar 2010 04:12:36 GMT /slideshow/inted-praesentation/3395394 GeorgOettl@slideshare.net(GeorgOettl) Non-invasive data tracking in educational games GeorgOettl Combination of logfiles and Natural Language Processing Presentation from 2010 in Valencia. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slgointedpraesentationfinal-12683023363602-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Combination of logfiles and Natural Language Processing Presentation from 2010 in Valencia.
Non-invasive data tracking in educational games from Georg テ釦tl
]]> 295 2 https://cdn.slidesharecdn.com/ss_thumbnails/slgointedpraesentationfinal-12683023363602-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-GeorgOettl-48x48.jpg?cb=1637874112 Informationstechnologie-Profi mit agilem Softwareentwicklungs-Portfolio. github.com/goettl79 https://cdn.slidesharecdn.com/ss_thumbnails/maribor-ots-georg-210120112810-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/lessons-learned-in-distributed-agile-engineering-on-a-large-scale-integration-solution/241600415 Lessons learned in dis... https://cdn.slidesharecdn.com/ss_thumbnails/softwaremonitoringmitprometheus-171120131315-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/softwaremonitoring-mit-prometheus/82376937 Softwaremonitoring mit... https://cdn.slidesharecdn.com/ss_thumbnails/dynamicinfrastructureandcontainermonitoringwithprometheus-171120124443-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dynamic-infrastructure-and-container-monitoring-with-prometheus/82375687 Dynamic Infrastructure...