http://2016.foss4g.org/talks.html#146
Docker is a growing open-source platform for building and shipping applications as cloud services in so called containers. But containers can be more than that! Following the idea of DevOps, Dockerfiles are a complete scripted definition of an application with all it's dependencies, which can be build and published as ready to use images. As each container is only running "one thing" (e.g. one application, one database, a worker instance), multiple containers can be configured with the help of docker-compose.
More and more geospatial open source projects or third parties provide Dockerfiles. In this talk, we try to give an overview of the existing Docker images and docker-compose configurations for FOSS4G projects. We report on test runs that we conducted with them, informing about the evaluation results, target purposes, licenses, commonly used base images, and more. We will also give a short introduction into Docker and present the purposes that Docker images can be used for, such as easy evaluation for new users, education, testing, or common development environments.
This talk integrates and summarizes information from previous talks at FOSS4G and FOSSGIS conferences, so I'd like to thank Sophia Parafina, Jonathan Meyer, and Björn Schilberg for their contributions.
Faster Container Image Distribution on a Variety of Tools with Lazy PullingKohei Tokunaga
Talked at KubeCon + CloudNativeCon North America 2021 Virtual about lazy pulling of container images with eStargz and nydus (October 14, 2021).
https://kccncna2021.sched.com/event/lV2a
Startup Containers in Lightning Speed with Lazy Image DistributionKohei Tokunaga
Talked about lazy container image distribution technologies including containerd + Stargz Snapshotter ( https://github.com/containerd/stargz-snapshotter ) at KubeCon+CloudNativeCon Europe 2020 Virtual.
CloudNative Days Tokyo 2020での、lazypullに関する発表資料です。https://event.cloudnativedays.jp/cndt2020/talks/16
Stargz Snapshotterのリポジトリ:
https://github.com/containerd/stargz-snapshotter
Faster Container Image Distribution on a Variety of Tools with Lazy PullingKohei Tokunaga
Talked at KubeCon + CloudNativeCon North America 2021 Virtual about lazy pulling of container images with eStargz and nydus (October 14, 2021).
https://kccncna2021.sched.com/event/lV2a
Startup Containers in Lightning Speed with Lazy Image DistributionKohei Tokunaga
Talked about lazy container image distribution technologies including containerd + Stargz Snapshotter ( https://github.com/containerd/stargz-snapshotter ) at KubeCon+CloudNativeCon Europe 2020 Virtual.
CloudNative Days Tokyo 2020での、lazypullに関する発表資料です。https://event.cloudnativedays.jp/cndt2020/talks/16
Stargz Snapshotterのリポジトリ:
https://github.com/containerd/stargz-snapshotter
Build and Run Containers With Lazy Pulling - Adoption status of containerd St...Kohei Tokunaga
Talked about lazy pulling of container images with eStargz and Stargz Snapshotter at FOSDEM 2021.
Details: https://fosdem.org/2021/schedule/event/containers_lazy_pull/
Stargz Snapshotter: https://github.com/containerd/stargz-snapshotter
Starting up Containers Super Fast With Lazy Pulling of ImagesKohei Tokunaga
Talked at Container Plumbing Days about speeding up container startup by lazy pulling images on Kubernetes, containerd, BuildKit, Podman and CRI-O with eStargz and zstd:chunked.
eStargz and Stargz Snapshotter: https://github.com/containerd/stargz-snapshotter
zstd:chunked proposal: https://github.com/containers/storage/pull/775
Patch set to enable lazy pulling on Podman and CRI-O (a.k.a. Additional Layer Store): https://github.com/containers/storage/pull/795
https://github.com/containerd/stargz-snapshotter/pull/281
CloudNative Days Spring 2021 ONLINE キーノートでの発表資料です。
https://event.cloudnativedays.jp/cndo2021/talks/1071
本セッションでは、DockerとKubernetesのもつ基本的な機能の概要を、コンテナの仕組みをふまえつつイラストを用いて紹介していきます。一般にあまり焦点をあてて取り上げられることは多くありませんが、コンテナの作成や管理を担う低レベルなソフトウェア「コンテナランタイム」も本セッションの中心的なトピックのひとつです。
本セッションは、拙著「イラストで分かるDockerとKubernetes」(技術評論社)の内容を参考にしています。
https://www.amazon.co.jp/dp/4297118378
JDD2014: Docker.io - versioned linux containers for JVM devops - Dominik DornPROIDEA
This presentation will introduce you to Docker - the new shiny star on the Devops horizon. It will teach you everything you need to know to get started with Docker, why you'd want to use it and which tools to use to get the most out of it. Additionally to showing the basics, it will introduce helpful libraries available for the JVM and how they can be used together with Docker to create secure, scalable and maintainable cloud setups for your applications.
It's 2021 and containerization has been happening for 7 years already.
In the Java space, there are several ways to package a Java application as a Docker image.
Let's discover them from the Dockerfile to the CNCF Buildpacks, mentioning the Jib way too!
Il s’agit dans un premier temps de présenter Docker, ses cas d’usage et quelques bonnes pratiques d’utilisation.
Le but est de présenter Docker, son mode de fonctionnement et son écosystème.
Ce qu’il peut apporter et les pièges à éviter
https://github.com/kanedafromparis/prez-fabric8-dmp
Be a happier developer with Docker: Tricks of the tradeNicola Paolucci
The talk will teach developers to automate and streamline their development environment setups using Docker, covering awesome tricks to make the experience smooth, fast, powerful and repeatable.The topics covered will be a selection amongst:
- Sharing folders into containers
- Transparent tunnels, dynamic ports for your apps
- Tiny Core Linux - the secret horse to super fast container automation
- Dockerfile caching tricks
- Cheap orchestration tricks
Build and Run Containers With Lazy Pulling - Adoption status of containerd St...Kohei Tokunaga
Talked about lazy pulling of container images with eStargz and Stargz Snapshotter at FOSDEM 2021.
Details: https://fosdem.org/2021/schedule/event/containers_lazy_pull/
Stargz Snapshotter: https://github.com/containerd/stargz-snapshotter
Starting up Containers Super Fast With Lazy Pulling of ImagesKohei Tokunaga
Talked at Container Plumbing Days about speeding up container startup by lazy pulling images on Kubernetes, containerd, BuildKit, Podman and CRI-O with eStargz and zstd:chunked.
eStargz and Stargz Snapshotter: https://github.com/containerd/stargz-snapshotter
zstd:chunked proposal: https://github.com/containers/storage/pull/775
Patch set to enable lazy pulling on Podman and CRI-O (a.k.a. Additional Layer Store): https://github.com/containers/storage/pull/795
https://github.com/containerd/stargz-snapshotter/pull/281
CloudNative Days Spring 2021 ONLINE キーノートでの発表資料です。
https://event.cloudnativedays.jp/cndo2021/talks/1071
本セッションでは、DockerとKubernetesのもつ基本的な機能の概要を、コンテナの仕組みをふまえつつイラストを用いて紹介していきます。一般にあまり焦点をあてて取り上げられることは多くありませんが、コンテナの作成や管理を担う低レベルなソフトウェア「コンテナランタイム」も本セッションの中心的なトピックのひとつです。
本セッションは、拙著「イラストで分かるDockerとKubernetes」(技術評論社)の内容を参考にしています。
https://www.amazon.co.jp/dp/4297118378
JDD2014: Docker.io - versioned linux containers for JVM devops - Dominik DornPROIDEA
This presentation will introduce you to Docker - the new shiny star on the Devops horizon. It will teach you everything you need to know to get started with Docker, why you'd want to use it and which tools to use to get the most out of it. Additionally to showing the basics, it will introduce helpful libraries available for the JVM and how they can be used together with Docker to create secure, scalable and maintainable cloud setups for your applications.
It's 2021 and containerization has been happening for 7 years already.
In the Java space, there are several ways to package a Java application as a Docker image.
Let's discover them from the Dockerfile to the CNCF Buildpacks, mentioning the Jib way too!
Il s’agit dans un premier temps de présenter Docker, ses cas d’usage et quelques bonnes pratiques d’utilisation.
Le but est de présenter Docker, son mode de fonctionnement et son écosystème.
Ce qu’il peut apporter et les pièges à éviter
https://github.com/kanedafromparis/prez-fabric8-dmp
Be a happier developer with Docker: Tricks of the tradeNicola Paolucci
The talk will teach developers to automate and streamline their development environment setups using Docker, covering awesome tricks to make the experience smooth, fast, powerful and repeatable.The topics covered will be a selection amongst:
- Sharing folders into containers
- Transparent tunnels, dynamic ports for your apps
- Tiny Core Linux - the secret horse to super fast container automation
- Dockerfile caching tricks
- Cheap orchestration tricks
Docker is in all the news and this talk presents you the technology and shows you how to leverage it to build your applications according to the 12 factor application model.
Accelerate your software development with DockerAndrey Hristov
Docker is in all the news and this talk presents you the technology and shows you how to leverage it to build your applications according to the 12 factor application model.
Why everyone is excited about Docker (and you should too...) - Carlo Bonamic...Codemotion
In less than two years Docker went from first line of code to major Open Source project with contributions from all the big names in IT. Everyone is excited, but what's in for me - as a Dev or Ops? In short, Docker makes creating Development, Test and even Production environments an order of magnitude simpler, faster and completely portable across both local and cloud infrastructure. We will start from Docker main concepts: how to create a Linux Container from base images, run your application in it, and version your runtimes as you would with source code, and finish with a concrete example.
Dockerizing Symfony2 application. Why Docker is so cool And what is Docker? And what are Containers? How they works? What are the ecosystem of Docker? And how to dockerize your web application (can be based on Symfony2 framework)?
Docker helped to bring container technologies to the masses. Already, giants joined the movement, either claiming long time usage (like Google) or trying to catch up momentum (like Microsoft). This talk was about discovering docker and its ecosystem, from a devops and practical point of view. My slides presented at Anchor Coworking on December 27th, 2014.
Docker "Global Mentor Week" is your opportunity to #learndocker. to learn how to build, ship, and run modern distributed applications with ease. thanks to the Docker platform.
Right now, Docker has developed out a series of self-paced online labs that will be available during the meetup. Docker’s meetup groups worldwide are hosting a series of complimentary events to help newcomers and intermediate users learn Docker.
We'll have hands-on labs for both beginners and intermediate users, labs targeting both developers and operations. There is something for everyone. Docker mentor will be on hand at this event to help you prepare. and work through the self-paced materials. Bring your laptop, have fun and learn Docker!
A short introduction to reproducible research, reproducibility with R, Docker, and all together for reproducible research using R and Docker containers. Includes demos of Rocker and containerit.
containerit at useR!2017 conference, BrusselsDaniel Nüst
**Webpage**
https://github.com/o2r-project/containerit/
**Abstract**
Reproducibility of computations is crucial in an era where data is born digital and analysed algorithmically. Most studies however only publish the results, often with figures as important interpreted outputs. But where do these figures come from? Scholarly articles must provide not only a description of the work but be accompanied by data and software. R offers excellent tools to create reproducible works, i.e. Sweave and RMarkdown. Several approaches to capture the workspace environment in R have been made, working around CRAN’s deliberate choice not to provide explicit versioning of packages and their dependencies. They preserve a collection of packages locally (packrat, pkgsnap, switchr/GRANBase) or remotely (MRAN timemachine/checkpoint), or install specific versions from CRAN or source (requireGitHub, devtools). Installers for old versions of R are archived on CRAN. A user can manually re-create a specific environment, but this is a cumbersome task.
We introduce a new possibility to preserve a runtime environment including both, packages and R, by adding an abstraction layer in the form of a container, which can execute a script or run an interactive session. The package containeRit automatically creates such containers based on Docker. Docker is a solution for packaging an application and its dependencies, but shows to be useful in the context of reproducible research (Boettiger 2015). The package creates a container manifest, the Dockerfile, which is usually written by hand, from sessionInfo(), R scripts, or RMarkdown documents. The Dockerfiles use the Rocker community images as base images. Docker can build an executable image from a Dockerfile. The image is executable anywhere a Docker runtime is present. containeRit uses harbor for building images and running containers, and sysreqs for installing system dependencies of R packages. Before the planned CRAN release we want to share our work, discuss open challenges such as handling linked libraries (see discussion on geospatial libraries in Rocker), and welcome community feedback.
containeRit is developed within the DFG-funded project Opening Reproducible Research to support the creation of Executable Research Compendia (ERC) (Nüst et al. 2017).
**References**
Boettiger, Carl. 2015. “An Introduction to Docker for Reproducible Research, with Examples from the R Environment.” ACM SIGOPS Operating Systems Review 49 (January): 71–79. doi:10.1145/2723872.2723882.
Nüst, Daniel, Markus Konkol, Edzer Pebesma, Christian Kray, Marc Schutzeichel, Holger Przibytzin, and Jörg Lorenz. 2017. “Opening the Publication Process with Executable Research Compendia.” D-Lib Magazine 23 (January). doi:10.1045/january2017-nuest.
Docker is a very useful tool in every data scientists toolbox. In this talk I present motivations to use Docker and made some live demos of typical tools used in data science, such as RStudio, Jupyter Notebook, or Elasticsearch.
Kurzpräsentation beim Werkstattgespräch "Atlas Zukünfte" des Leipniz-Institut für Länderkunder, Leipzig.
Wie sehen Atlanten der Zukunft aus?
Atlanten der Zukunft sind der Einstieg zu digitalen Informationen. Sie ermöglichen kritische Interaktionen mit Informationen, weil sie alle Bausteine (Daten, Quellcode, Analysecode, Software, Interaktionsschnittstellen) enthalten um sie zu durchdringen.
Sie ermöglichen dies weil sie änderbar (technisch, Lizenzen) und archivierbar sind.
Atlanten der Zukunft sind ausführbare Forschungskompendien (http://o2r.info/2016/04/08/o2r-at-EGU).
Visualising Interpolations of Mobile Sensor ObservationsDaniel Nüst
Presentation at the GeoViz conference, Hamburg, 2013.
Abstract (excerpt): An integrated visualisation of observations’ locations and the interpolation of a dynamic phenomenon increases a user’s understanding of the processes underlying the measured data. The main contributions of this work are visualisation techniques, an implementation in a live 3D visualisation environment, and a subsequent user study.
The techniques are tailored to the challenge of mobile sensor data interpolations and focus on interactive exploration instead of extending interpolation methods as a first step.
JavaScript Client Libraries for the (Former) Long Tail of OGC StandardsDaniel Nüst
Presented at FOSS4-G Europe 2014, Bremen
Authors:
Daniel Nüst (d.nuest@52north.org, 52°North GmbH)
Matthes Rieke (m.rieke@52north.org, 52°North GmbH)
Paul Breen (pbree@bas.ac.uk, British Antarctic Survey)
More and more information technology is moving into a cloud-based infrastructures for both data storage as well as user interfaces and leverages browser technologies, i.e. Javascript and HTML5, also for mobile devices. Users always use the latest version and the environment is well controlled: an internet browser. General purpose libraries (e.g. jQuery) and web-application frameworks (e.g. AngularJS) facilitate the development of complex applications. In the geospatial domain such frameworks and libraries are combined with mapping libraries, such as OpenLayers (OL) or Leaflet, and visualisation libraries to build complex applications. These applications display geospatial data coming from standardized view and feature services, most importantly the Open Geospatial Consortium’s (OGC) Web Map Service (WMS) and Web Features Service (WFS). Both server and client libraries are mature and have reached a very stable level and wide distribution.
What is missing today are generic libraries that operate at the same level of performance and quality to (i) access observation and time series data coming from OGC Sensor Observation Services (SOS), and (ii) control online geoprocesses published as an OGC Web Processing Service (WPS). These standards are less widespread than W(M,F)S but gain momentum as data volumes increase, for example with a myriad of smart sensors in the internet of things or new EO satellite missions, and subsequent requirements for sophisticated architectures for processing and management of time series data.
Observing these developments lead to the birth of two new open source Javascript library projects that are presented in this talk. SOS.js (https://github.com/52North/sos-js) can access SOS data and be used for sophisticated lightweight browser applications for discovering and displaying time series data as plots, tables, and maps. wps-js (https://github.com/52North/wps-js/) is a client library for the WPS generating forms based on the standardized metadata from the service and interactively creating and submitting processing tasks.
During the talk we demonstrate applications build with the libraries and share experiences from development. A goal for both libraries is to become independent of OL for request and response encoding and provide service access with a minimal footprint. We see an advantage of developing such small and focussed libraries maintained by field experts in these non-mainstream domains. We’ll happily discuss if this is the best approach and pose the following question: Is there a (technical, organisational) way to build a compatible Javascript client frameworks across all geo-service standards?
Open Source and GitHub for Teaching with Software Development ProjectsDaniel Nüst
Experiences in using GitHub for collaborative software development in project seminars using and creating open source software.
Authors:
Daniel Nüst (d.nuest@52north.org, 52°North Initiative for Geospatial Open Source Software GmbH)
Thomas Bartoschek (bartoschek@uni-muenster.de, Institute for Geoinformatics Münster)
Open source software is particularly suitable for teaching and organisations like Teaching Open Source (http://teachingopensource.org) present actively advertise this. In this talk we want to present some practical benefits that open source programming and publishing software on an open online platform has for teaching project-oriented software engineering seminars at university level. In these courses students together develop a new system for a specific task in form of a group project. For project groups, we suggest to use an adjusted variant of Scrum for project management (http://en.wikipedia.org/wiki/Scrum_%28software_development%29), git as source code management system (http://git-scm.com/), and GitHub as a collaboration platform (http://github.com/, https://education.github.com/). Thanks to GitHub’s collaboration models such as “fork & pull”, each student’s work, may they be in lines of code or contributions to a discussion, can be tracked. Students fulfil different tasks in a project setting: some develop, some spend their time issuing bugs or improving documentation. But for all of them GitHub allows to quantify contributions and set concrete goals, e.g. two pull requests created, one merged, and five issues written. GitHub also offers graphical overviews of project activities. The goal is of course not to expose the student but to create a transparent environment for evaluation and grading. Teachers can even weigh in on discussions and make suggestions on the same platform as the students.
In our experience, students estimate very well their performance in comparison with their colleagues. However, using Scrum as a development model is challenging for them. We adopted the classic Scrum schedule and defined two week long sprints. Students sometimes quarrel with the role of supervising other students and delegating tasks among their peers. But in the end, the clear schedule and the focus on the iterative and communicative aspects of project management are a key to ensure success. Teachers should be ready to step in a Scrum masters and to support the product owners and must be open to adjust plans and expectations in the same way that the students have to.
We think this approach can considerably increase quality of a course from both a teaching and a learning perspective.
Feature description and demonstration of the 52°North implementation of the OGC Web Processing Service interface 1.0.0 along with plans for future development.
Prese
How can you publish your own datasets using the Open Geospatial Consortium's Sensor Observation Service Standard? We present straightforward solutions for the 52°North open source SOS implementation for both the stable and current development version.
sos4R - Accessing SensorWeb Data from RDaniel Nüst
Presentation of the package sos4R - a generic client to the OGC Sensor Observation Service for the R-project. It connects the Sensor Web with the most powederful statistical analysis and visualisation environment of today.
Interoperable data exchange and reproducibility are increasingly important for modern scientific research. This paper shows how three open source projects work together to realize this: (i) the R project, providing the lingua franca for statistical analysis, (ii) the Open Geospatial Consortium's Sensor Observation Service (SOS), a standardized data warehouse service for storing and retrieving sensor measurements, and (iii) sos4R, a new project that connects the former two. We show how sos4R can bridge the gap be-tween two communities in science: spatial statistical analysis and visuali-zation on one side, and the Sensor Web community on the other. sos4R enables R users to integrate (near real-time) sensor observations directly into R. Finally, we evaluate the functionality of sos4R. The software en-capsulates the service's complexity with typical R function calls in a com-mon analysis workflow, but still gives users full flexibility to handle in-teroperability issues. We conclude that it is able to close the gap between R and the sensor web.
Visualizing the Availability of Temporally Structured Sensor DataDaniel Nüst
A crucial task in sensor web based analysis of spatio-temporal data is to get an overview on the spatial and temporal extent for which data is available. This work presents an approach for accessing the necessary information about the availability of temporally structured sensor data from sensor web
services. We show different kinds of data availability visualization. Based on the required values we specify a new generic sensor web service interface operation that constitutes the foundation for realizing the presented visualization methods.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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.
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Docker @ FOSS4G 2016, Bonn
1. An overview of Docker
images for geospatial
applications
FOSS4G conference 2016, Bonn, Germany
Daniel Nüst
Institute for Geoinformatics
University of Münster
2. Talk abstract
http://2016.foss4g.org/talks.html#146
Docker is a growing open-source platform for building and shipping applications as cloud services in so
called containers. But containers can be more than that! Following the idea of DevOps, Dockerfiles are a
complete scripted definition of an application with all it's dependencies, which can be build and published
as ready to use images. As each container is only running "one thing" (e.g. one application, one database,
a worker instance), multiple containers can be configured with the help of docker-compose.
More and more geospatial open source projects or third parties provide Dockerfiles. In this talk, we try to
give an overview of the existing Docker images and docker-compose configurations for FOSS4G projects.
We report on test runs that we conducted with them, informing about the evaluation results, target
purposes, licenses, commonly used base images, and more. We will also give a short introduction into
Docker and present the purposes that Docker images can be used for, such as easy evaluation for new
users, education, testing, or common development environments.
This talk integrates and summarizes information from previous talks at FOSS4G and FOSSGIS
conferences, so I'd like to thank Sophia Parafina, Jonathan Meyer, and Björn Schilberg for their
contributions.
3. Agenda
What is Docker? Why?
What can it be used for?
Overview of geo-related containers
Select containers Live Demo
13. Process and evaluation
Google
Search Docker Hub
Search FOSS4G talks
OSGeo project list
Criteria and data points
Goals / target users / applications (e.g. testing, dev
env,
new users, demos, …)
Maintainer (3rd party, original devs?)
License
Base image
16. Degree
tfr42/deegree
tfr42/teamengine
mdillon/postgis
FROM tomcat:8-jre7
MAINTAINER deegree TMC <tmc@deegree.org>
# set deegree version
ENV DEEGREE_VERSION 3.3.18
# download deegree
RUN wget
http://repo.deegree.org/content/repositories/public
/org/deegree/deegree-
webservices/${DEEGREE_VERSION}/deegree-webservices-
${DEEGREE_VERSION}.war -O
/usr/local/tomcat/webapps/deegree-webservices.war
# run tomcat
CMD ["catalina.sh", "run"]
17. gdal - Live Demo
docker run --rm geodata/gdal
Play around with gdal, easily use different versions (of library combinations)
https://github.com/geo-data/gdal-docker
Use it as a “binary executable” in scripts, e.g.
https://gist.github.com/spara/73972116fe751bf374e29618a10d5bed
https://hub.docker.com/r/spara/gdal_ef/
18. QGIS - Live Demo
xhost +
# --rm will remove the container as soon as it ends
docker run --rm --name="qgis-desktop-2.14ltr"
-i -t
-v ${HOME}:/home/${USER}
-v /tmp/.X11-unix:/tmp/.X11-unix
-e DISPLAY=unix$DISPLAY
kartoza/qgis-desktop:2.14
xhost -
docker run --name "qgis-server-webclient" -p 8081:80 -
d -t opengisch/qgis-server-webclient
20. PostGIS - Live Demo
docker run --name some-postgis -e
POSTGRES_PASSWORD=mysecretpassword -d
mdillon/postgis
docker run -it --link some-postgis:postgres -
-rm postgres
sh -c 'exec psql -h
"$POSTGRES_PORT_5432_TCP_ADDR" -p
"$POSTGRES_PORT_5432_TCP_PORT" -U postgres'
# list
# q
21. tileserver-mapnik - Live Demo
wget -c https://osm2vectortiles-
downloads.os.zhdk.cloud.switch.ch/v1.0/extracts/zurich.mbtile
s
git clone https://github.com/mapbox/mapbox-studio-osm-
bright.tm2.git
docker run -v $(pwd):/data -p 8085:80
klokantech/tileserver-mapnik
22. 52°North WPS - Live Demo
docker run -p 80:8080 52n-wps-base
http://localhost/wps
23. pycsw Live Demo
docker run --rm -it -p 8000:8000
geocontainers/pycsw
http://localhost:8000/
24. GeoNode Live Demo
docker run -p 8000:8000 -p 8080:8080
openmarble/arch-geonode
http://localhost:8080/
25. GeoMOOSE Live Demo
docker run -p 80:80 --rm=true --name
geomoose_demo geomoose
http://localhost/geomoose/geomoose_dev.html
Great example: Instructions for demo, testing,
and development usage of the image
27. PDAL
http://www.pdal.io/workshop/docker.html
PDAL stands on the shoulders of giants. It uses
GDAL, GEOS, and many other dependencies.
Because of this, it is very challenging to build
it yourself. We could easily burn an entire
workshop learning the esoteric build miseries of
PDAL and all of its dependencies. Fortunately,
Docker will allow us to use a fully-featured known
configuration to run our examples and
exercises without having to suffer so much.
docker run -t pdal/pdal pdal --help
29. Join on the OSGeo wiki
https://wiki.osgeo.org/wiki/DockerImages
https://wiki.osgeo.org/wiki/DockerImagesMeta
30. Core arguments for FOSS4G community
(all the Docker advantages… write once, biz ops, cloud, etc.)
Lower entrance barrier for users AND devs
(e.g. sandboxed stack per developer, J. Meyer)
Easier transition from testing to production
31. Tasks & Challenges for the community
Put your project on Docker Hub as an automated build and add a license
Use base images, extend them to provide useful variants
Collaborate with existing images!
Make services and apps configurable using ENVironment parameters and files
Projects and their developers must build up knowledge
Communicate intention of Dockerfile because there is not one Dockerfile fitting
all problems
UbuntuGIS easy, but huge images (try alpine!)
Packaging UI / Desktop applications still in flow
35. Thanks for your attention!
What are your questions?
http://o2r.info @o2r_project
daniel.nuest@wwu.de
Thanks to…
Björn Schilberg (Intevation) - https://www.fossgis.de/konferenz/2015/programm/events/847.de.html and
https://www.youtube.com/watch?v=CeI8S_tnCZ0
Jonathan Meyer - https://2016.foss4g-na.org/session/image-mosaics-automation
Sophia Parafina - https://2016.foss4g-na.org/session/spatial-data-processing-docker
DEVELOP
COLLABORATE
SCALE
“Containers are an application delivery technology”
Multiple containers on the same shared infrastructure
Package your application into a standardized unit for software development
Docker containers wrap a piece of software in a complete filesystem that contains everything needed to run: code, runtime, system tools, system libraries – anything that can be installed on a server. This guarantees that the software will always run the same, regardless of its environment.
VIRTUAL MACHINES
Virtual machines include the application, the necessary binaries and libraries, and an entire guest operating system -- all of which can amount to tens of GBs.
CONTAINERS
Containers include the application and all of its dependencies --but share the kernel with other containers, running as isolated processes in user space on the host operating system. Docker containers are not tied to any specific infrastructure: they run on any computer, on any infrastructure, and in any cloud.
BUILD BETTER SOFTWARE
Skip the setup and maintenance of development environments and language-specific tooling. Focus on creating new features, fixing issues, and shipping software.
SHARE AND COLLABORATE
Docker creates a common framework for developers and sysadmins to work together on distributed applications
DISTRIBUTE & SHARE CONTENT
Store, distribute, and manage Docker images in Docker Hub with your team. Image updates, changes, and history are automatically shared across your organization.
SIMPLY SHARE YOUR APPLICATION WITH OTHERS
Ship containers without worrying about environment dependencies creating issues for your application. Other teams can easily link to or test against your app without having to learn about how it works.
SHIP SOFTWARE FASTER AND AT SCALE
Docker allows you to dynamically change your application -- from adding new capabilities and scaling services, to quickly changing problem areas.
SHIP 7X MORE
On average, Docker users ship 7X more software after deploying Docker in their environment. More frequent software updates provide added value to customers.
QUICKLY SCALE
Docker containers spin up and down in seconds, making it easy to scale application services to satisfy peak customer demand, and then reduce running containers when demand ebbs.
EASILY REMEDIATE ISSUES
Docker makes it easy to identify issues, isolate the problem container, quickly roll back to make the necessary changes, and then push the updated container into production. Isolation between containers makes these changes less disruptive than in traditional software models.