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  • Web-Metriken

    Apr 26, 2024 47 0

  • maevsi 2023-06

    Jun 26, 2023 56 0

  • InfluxDB

    May 05, 2023 67 0

  • Nuxt 3

    Jan 25, 2023 77 0

  • Entwurf einer dienstorientierten Plug-in-Architektur für Webanwendungen

    Jan 20, 2022 89 0

  • r-kwal-t

    Mar 05, 2021 69 0

  • Direflow

    Jan 08, 2021 100 0

  • TrapParty 2020

    Dec 18, 2020 92 0

  • Datenstromorientierte Programmierung mit Tensorflow

    Sep 11, 2020 103 0

  • Your own webplayer with Nuxt & S3

    Sep 06, 2020 128 0

  • Argo CD

    Jul 16, 2020 91 0

  • Thread Management in Java

    Nov 10, 2019 63 0

  • dargstack - A bouquet of microservices

    Did you always want to run your website and a stack of tools, such as CodiMD, Nextcloud and Traefik, as a simple to manage and dynamic container stack on your server? Then this talk is just right for you. After briefly repeating the basic idea behind microservices, bringing the audience to the same level of understanding, this talk reveals the problem of separated development and production environments in the otherwise well-defined, containerized software development process. After recognizing and analyzing this problem in detail, a possible solution is presented: dargstack. A template for projects that focuses on the development configuration and derives the production configuration from it. And because Docker stacks are so easy to work with, the next step - deployment - with dargstack, is also shown through the speaker's personal set of web services.

    Oct 03, 2019 117 0

  • CUDA Basics

    What's cool about graphics cards? If you are older than the age, at which you only think of games and the highest possible FPS when it comes to graphics cards, you will surely know that graphics cards are used for a variety of other purposes. Here they produce cryptocurrencies in mining farms, there they calculate hashes for all sorts of character combinations in order to infer passwords. But how does it work? How can I program my graphics card? Why isn't every program on my computer using the graphics card, if they could benefit from such an impressive performance gain? And why do I, when buying NVIDIA graphics cards, always want those with as many CUDA cores as possible, although I have no idea what they are there for. This presentation uses NVIDIA's CUDA to shed some light on the above questions, points out noteworthy aspects of the architecture and conveys that you should not throw your CPU away. The lecture is crowned by a look at optimization strategies, which are used in a real code example.

    Sep 30, 2019 199 0

  • The History of User Agent Strings

    Sep 29, 2019 247 0

  • JSON Web Tokens

    Sep 29, 2019 105 0