Application configuration in containers
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There are many ways to configure your application inside a container. We will discuss the advantages and disadvantages of the different configuration possibilities. Also we will have a broad overview how some container environments like Kubernetes, Mesos (Marathon) and Swarm support you configuring your application. As a key take-away you will know the different configuration possibilities and be able to decide which one fits best for different application types. Event: inovex Meetup Köln, 08.06.2016 Speaker: Johannes M. Scheuermann, inovex GmbH Weitere Tech-Vorträge: https://www.inovex.de/de/content-pool/vortraege/
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Gitlab meets Kubernetes
Gitlab meets Kubernetesinovex GmbH Datum: 20.10.2016
Speaker: Benjamin Stein, Arnold Bechtoldt, inovex GmbH
mehr Vorträge: https://www.inovex.de/de/content-pool/vortraege/
Cloud Wars – what‘s the smartest data platform? Vergleich Microsoft Azure, Am...
Cloud Wars – what‘s the smartest data platform? Vergleich Microsoft Azure, Am...inovex GmbH Die großen Public-Cloud-Anbieter locken inzwischen mit vielversprechenden Platform-as-a-Service-Angeboten um Daten jeglicher Art performant und kosteneffizient zu speichern und zu verarbeiten. Neben unterschiedlichen Datenbanken gibt es dazu Dienste für Batch- und Realtime-Processing. In diesem Vortrag werden einige der wichtigen Data Driven Services anhand eines typischen IoT-Szenarios aus der Praxis beleuchtet. Dazu gehen drei Schwergewichte des Cloud Business ins Rennen: Microsoft Azure vs. Amazon Web Services vs. Google Cloud Platform.
Event: inovex Meetup: "Let's talk about the Cloud!", 22.06.2016
Speaker: Thomas Neureuther, Stefan Kirner, inovex GmbH
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Findeis inovex robert_boschgmbh-vortrag-WiMa2014
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Advanced Cojure Microservices
Advanced Cojure Microservicesinovex GmbH Ein einfacher REST-Webservice in Clojure ist mit den Bibliotheken Ring und Compojure trivial zu erstellen. In einem realen Microservice-System sind aber wesentlich mehr Herausforderungen zu meistern als nur ein paar REST-Endpoints anzubieten. Dieser Vortrag geht über diese Grundlagen hinaus und zeigt, was das Clojure-Ökosystem für Ressourcenmodellierung, Fehlertoleranz, AWS-Integration, Monitoring und Metriken zu bieten hat. Dabei kommen unter anderem die Bibliotheken Liberator, Hystrix und Amazonica zum Einsatz.
Stackstorm – Event driven Automation
Stackstorm – Event driven Automationinovex GmbH Speaker: Alexander Köhler, inovex
Datum: 25.08.2016
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Continuous Integration for Fun and Profit
Continuous Integration for Fun and Profitinovex GmbH Agile Continuous Integration verspricht mithilfe von Pipelines die Entwicklung und Auslieferung von Software signifikant zu verbessern. Der Weg zur finalen Implementierung kann jedoch mit einigen unvorhergesehenen Aufwänden gepflastert sein. So werden wir uns einige hilfreiche Methoden und Tools zur Umsetzung solcher Pipelines mit dem Fokus auf Continuous Integration ansehen, um unseren agilen Entwicklungsprozess abzurunden und dadurch Zeit für die wichtigen Dinge im Alltag zu gewinnen.
Vorkenntnisse: Grundverständnis von Softwarentwicklung
Lernziele: Wir werden die Hintergründe von Continuous Integration/Delivery diskutieren und sehen uns ein Beispiel aus der Praxis an, das vor allem die Vorteile von CI/CD hevorheben soll.
Event: enterJS, 16.06.2016, Darmstadt
Speaker: Arnold Bechtoldt
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Prometheus Monitoring
Prometheus Monitoringinovex GmbH Im #Neuland gibt es noch heute stark in die Jahre gekommene Host- und Service-Monitoring-Lösungen, die zu den unliebsamen Langzeitbaustellen vieler Teams und Unternehmen gehören. Wer kennt es nicht, dass regelmäßige „False-Positive“-Alarme sich in Form von E-Mails oder SMS lästig bekannt machen, dass Webinterfaces schnell an ihre Grenzen stoßen, dass komplexe und benutzerfreundliche Graphen generiert werden sollen oder dass das Monitoring-Konstrukt nicht mit der großen Zahl an hippen neuen Docker-basierten Services/Checks zurechtkommt. Ganz zu schweigen von den lückenhaften oder fehlenden Programmierschnittstellen vieler Monitoring-Monolithen. In diesem Vortrag möchten wir euch eine auf Prometheus und Kubernetes basierende Musterlösung vorstellen, die eine Webapplikation über verschiedene Metriken hinweg überwacht und das DevOps-Betriebsteam zum richtigen Zeitpunkt auf konkrete Probleme aufmerksam macht.
Event: DevOpsCon, 06.12.2016
Speaker: Christoph Petrausch, inovex GmbH
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GLOBALISATION IN INDIA - GATEWAYS AND PITFALLS
GLOBALISATION IN INDIA - GATEWAYS AND PITFALLSIAEME Publication Globalisation may be defined as international integration or augmented mobility of people, capital, goods, services, data and even ideas from one country to another.
In recent days the ascent of Globalisation can be seen in almost all the countries around the world. The key benefits offered by globalisation to a country includes foreign collaborations, advanced technology, companies going MNC’s, abundant supply of raw materials, increased job opportunities, better quality products which in turn leads to a higher standard of living. Despite of these benefits there are certain perils such as inequality and environmental degradation which automatically shoulders globalisation.
In the light of above mentioned facts, the current study aims to scrutinize the intrinsic worth and pitfall of globalisation in Indian economy.
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Zur Lösung stehen uns verschiedene Hardwareoptionen wie CPUs, GPUs, FPGAs oder spezielle ASICs und Frameworks zur Verfügung, die wir am Beispiel von einem Convolutional Neural Network evaluieren. Dabei gibt es praktische Tipps und Erfahrungen aus realen Projekten sowie anschauliche Demos auf verschiedenen Hardwareplattformen.
Vorkenntnisse:
Vorkenntnisse über tiefe neuronale Netze sind von Vorteil.
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Deep Learning for Recommender Systems
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Join Marcel Kurovski to explore a use case for vehicle recommendations at mobile.de, Germany’s biggest online vehicle market. Marcel shares a novel regularization technique for the optimization criterion and evaluates it against various baselines. To achieve high scalability, he combines this method with strategies for efficient candidate generation based on user and item embeddings—providing a holistic solution for candidate generation and ranking.
The proposed approach outperforms collaborative filtering and hybrid collaborative-content-based filtering by 73% and 143% for MAP@5. It also scales well for millions of items and users returning recommendations in tens of milliseconds.
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Im Anschluss stellte er Azure IoT Edge vor und erläuterte, wie es das bestehende IoT Framework von Microsoft erweitert sowie die Grundkonzepte, die IoT Edge bereitstellt. Auch die Probleme in dem noch jungen Produkt wurden angesprochen, aber auch die Vorteile und Features, die es liefert.
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Speaker: Maximilian Bischoff, inovex
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Representation Learning von Zeitreihen
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Marisa Mohr stellte in ihrem Vortrag einen neuen und vielversprechenden informationstheoretischen Ansatz zum Feature Learning von sequentiellen Daten vor, der potenziell auch mit wenigen Daten auskommt. Dabei ging es speziell um ordinale Muster in Zeitreihen, wie sie beispielsweise als Veränderung von Emotionen im Gesprächsverlauf zu finden sind. Eine solche Entwicklung ist für Menschen in der Regel leicht zu erkennen. Chatbots hingegen können nicht intuitiv auf solche Emotionsverläufe reagieren, sondern müssen entsprechend programmiert werden.
Details:
Deep-Learning-Ansätze wie LSTMs, RNNs oder TCNs haben sich im Umgang mit sequentiellen Daten bewährt. Neuronale Netzwerke sind tief im technischen Sinn, weil sie mehrere (verborgene) Schichten besitzen, aber nicht weil sie ein tiefes Verständnis von Problemen entwickeln. In diesem Vortrag stellte Marisa einen symbolischen informationstheoretischen Ansatz des Representation Learnings von Zeitreihen vor und damit eine Möglichkeit, konzeptionelle Schichten zu konstruieren. Die Idee hinter der sogenannten Permutationsentropie besteht darin, anstelle der Werte einer Zeitreihe die Ordnungsrelation zwischen den Werten zu betrachten, und so auf das natürliche Auf und Ab des zugrundeliegenden dynamischen Systems zurückzugreifen.
Event: inovex Meetup: Das Unvorhersehbare vorhersagen: Zeitreihen und Chatbots, 26.03.2019
Speakerin: Marisa Mohr (inovex)
Mehr Tech-Vorträge: inovex.de/vortraege
Mehr Tech-Artikel: inovex.de/blog
Talk to me – Chatbots und digitale Assistenten
Talk to me – Chatbots und digitale Assistenteninovex GmbH Menschliche Kommunikation folgt zwar einer ganzen Reihe von Regeln, diese lassen sich aber schwer formalisieren. Nicht zuletzt deshalb, weil in unseren Interaktionen immer auch eine Fülle von Welt- und implizitem Kontextwissen eine Rolle spielt. Rein regelbasierte Chatbots sind daher nicht nur äußert komplex in der Programmierung, sondern stoßen in vielen Anwendungsbereichen schnell an ihre Grenzen.
In diesem Vortrag gab Anna Weißhaar einen Überblick über die aktuellen Lösungen und Herausforderungen im Bereich digitale Assistenten. Der Fokus lag dabei auf Ansätzen, die Chatbots „chatty“ machen, sie also möglichst adäquat auf im Voraus unbekannte Nutzereingaben reagieren zu lassen.
Event: inovex Meetup: Das Unvorhersehbare vorhersagen: Zeitreihen und Chatbots, 26.03.2019
Speaker: Anna Weißhaar (inovex)
Mehr Tech-Vorträge: inovex.de/vortraege
Mehr Tech-Artikel: inovex.de/blog
Künstlich intelligent?
Künstlich intelligent?inovex GmbH Nicht zuletzt durch die medienwirksame Erfolge des maschinellen Lernens durch DeepMind, OpenAI und Kollegen ist Künstliche Intelligenz im Moment wieder in aller Munde. Einerseits locken zahlreiche neue, vorher undenkbare Anwendungen wie die automatische Diagnose von Krankheiten, autonome Fahrzeuge und Drohnen, oder die automatische Übersetzung gesprochener Wörter. Andererseits warnen mahnenden Stimmen wird vor dem zunehmendem Einflussnahme der „Algorithmen“ auf fast alle Bereiche unseres Lebens sowie vor unerwünschten Folgen von sich verselbstständigenden Computern gewarnt. Einige träumen von – oder fürchten sich vor – der vermeintlich unausweichlichen Singularität, an der sich nichts weniger als das Schicksal der gesamten Menschheit entscheiden wird. Doch was verbirgt sich hinter dem Begriff Künstliche Intelligenz? Je nachdem, wen man fragt, erhält man unterschiedliche, bisweilen gegensätzliche Antworten. Dieser Vortrag stellt einige dieser Antworten vor und versucht sie (nicht nur) anhand von Beispielen aus Forschung und Anwendung einzuordnen.
Event: Business Analytics Day, 07.03.2019
Speaker: Dr. Matthias Richter, Dr. Stefan Igel (inovex)
Mehr Tech-Vorträge: inovex.de/vortraege
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Dev + Ops = Go
Dev + Ops = Goinovex GmbH In den letzten drei Jahren haben wir die Infrastruktur der Fernseh-Plattform waipu.tv gebaut. Dabei haben wir angefangen Tools für den Betrieb in Golang zu schreiben. Aus einigen der Tools wurden Core-Services, die auch die Last einer Fußball-WM-Übertragung locker wegstecken. Wir wollen euch zeigen, wie wir mit der selben Tool-Chain (Golang & Co) Betriebs-Probleme lösen und kritische Business-Applikationen entwickeln. Klassisch DevOps oder Golden Hammer?
Speaker: Christoph Petrausch, Igor Lankin (beide inovex)
Event: DevOpsConference, 04.12.2018
Mehr Tech-Vorträge: inovex.de/vortraege
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Das Android Open Source Project
Das Android Open Source Projectinovex GmbH Das Android Open Source Project, kurz AOSP, ist das Betriebssystem, das auf den meisten heutigen und wahrscheinlich auch auf deinem Smartphone läuft. Es ist die Basis für das Android-App-Universum und wird von Millionen Nutzern und Entwicklern auf der Welt verwendet. Wegen der offenen Verfügbarkeit des Source Codes ist es auch die Basis für bekannte Custom ROMs wie LineageOS.
Der erste Teil des Talks gab eine Übersicht über die Architektur des Betriebssystems, das App-Ökosystem, den Hardware Abstraction Layer (HAL), die Sicherheitskonzepte und einige neue Betriebssystementwicklungen wie Project Treble in Android 8.0.
Der zweite Teil des Talks gab einen Einblick in den Quellcode und die Struktur des AOSP: Wie lädt man sich den Source Code herunter, wie baut man das AOSP für unterstützte Geräte und wie kann man die eigenen ROMs auf ein Smartphone flashen? Zum Spaß wurde auch noch in einige Implementierungsdetails von Android-App-API-Funktionen geblickt, die man als App Developer schon aufgerufen hat.
Speaker: Stefan Lengfeld, inovex
Event: inovex Meetup Köln, 23.10.2018
Mehr Tech-Vorträge: www.inovex.de/vortraege
Mehr Tech-Artikel: www.inovex.de/blog
Machine Learning Interpretability
Machine Learning Interpretabilityinovex GmbH This document discusses machine learning interpretability. It defines interpretation as giving explanations to humans for machine learning models and decisions. It notes that humans create, are affected by, and demand explanations for decision systems. The document outlines different techniques for model interpretability including intrinsically interpretable models, post-hoc interpretability techniques that provide explanations for black box models, and model-specific and model-agnostic techniques. It provides examples like partial dependence plots, individual conditional expectation, and local surrogate models. It recommends choosing techniques based on the recipient and purpose of explanations.
Performance evaluation of GANs in a semisupervised OCR use case
Performance evaluation of GANs in a semisupervised OCR use caseinovex GmbH Online vehicle marketplaces are embracing artificial intelligence to ease the process of selling a vehicle on their platform. The tedious work of copying information from the vehicle registration document into some web form can be automated with the help of smart text-spotting systems, in which the seller takes a picture of the document, and the necessary information is extracted automatically.
Florian Wilhelm details the components of a text-spotting system, including the subtasks of object detection and optical character recognition (OCR). Florian elaborates on the challenges of OCR in documents with various distortions and artifacts, which rule out off-the-shelf products for this task. After offering an overview of semisupervised learning based on generative adversarial networks (GANs), Florian evaluates the performance gains of this method compared to supervised learning. More specifically, for a varying amount of labeled data, he compares the accuracy of a convolution neural network (CNN) to a GANthat uses additional unlabeled data during the training phase, showing that GANs significantly outperform classical CNNs in use cases with a lack of labeled data.
What you'll learn:
Understand how semisupervised learning with GANs works
Explore beneficial semisupervised methods based on GANs for use cases with a limited amount of labeled data
Gain insight into an interesting OCR use case of an online vehicle marketplace
Event: O'Reilly Artificial Intelligence Conference, London, 11.10.2018
Speaker: Dr. Florian Wilhelm
Mehr Tech-Vorträge: www.inovex.de/vortraege
Mehr Tech-Artikel: www.inovex.de/blog
People & Products – Lessons learned from the daily IT madness
People & Products – Lessons learned from the daily IT madnessinovex GmbH IT im 21. Jahrhundert – What a time to be alive! Es gibt einen (unüberschaubaren) Zoo an Methoden und Produkten die uns so viel Freude an der Arbeit bereiten! Sie sind modern, weil sie neu sind. Sie fordern unser Können heraus, weil sie komplex sind. Sie lösen einige Probleme, die wir vorher nicht hatten. Jeder will sie verwenden, weil Google, Netflix & Co. sie propagieren und Hand auf’s Herz: Will nicht jeder gerne so arbeiten wie Google, Netflix & Co.? Aber macht das wirklich Sinn?
In diesem Vortrag blicken wir auf diverse Erkenntnisse aus dem Einsatz agiler Produktentwicklung, DevOps, Continuous Integration/Delivery, Infrastructure as Code, Immutable Infrastructure (bspw. Docker/Kubernetes), Application Logging und Service Monitoring.
Learning Goals:
- Wir müssen den Einsatz von Methoden und Tools an die Menschen ausrichten, die sie (weiter-)entwickeln und benutzen sollen.
- Manchmal lösen wir mit neuen Tools Probleme, die wir vorher nicht hatten.
- Die Suche nach einfachen Lösungen für komplexe Probleme ist essentiell, aber nicht immer einfach.
Event: Continuous Lifecycle, 15.11.2018
Speaker: Arnold Bechtoldt
Mehr Tech-Vorträge: www.inovex.de/vortraege
Mehr Tech-Artikel: www.inovex.de/blog
Infrastructure as (real) Code – Manage your K8s resources with Pulumi
Infrastructure as (real) Code – Manage your K8s resources with Pulumiinovex GmbH Pulumi (pulumi.io) offers an open source platform to create/manage and deploy your infrastructure in realy programming languages like JavaScript/TypeScript, Go and Python. As Cloud platforms the major 3 cloud providers are supported and additionally you can also use Pulumi with OpenStack and Kubernetes to deploy your applications in the cloud.
In this talk we will take a look how Pulumi is different to traditional solutions like Terraform or the Cloud Provider specific solutions (e.g. CloudFormation). The main focus will be on deploying your services on top of Kubernetes. The talk will contain a little theory part about Pulumi, the rest of the talk is more focused on demos and practical parts. One focus of the talk is the difference of Pulumi to kubectl and helm (or to be precise how they complement each other.
As a takeaway of this talk you should understand the basics of Pulumi and know what are the differences to the traditional deployment tools.
Event: CNCF Meetup Hamburg & Stuttgart, 29.10.2018 & 07.11.2018
Speaker: Johannes M. Scheuermann, inovex
Mehr Tech-Vorträge: https://www.inovex.de/de/content-pool/vortraege/
Mehr Tech-Artikel: https://www.inovex.de/blog/
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- 1. Application configuration in containers Johannes M. Scheuermann Köln, 08.06.2016
- 2. Johannes M. Scheuermann IT Engineering & Operations @ inovex 〉 Software-Defined Datacenters 〉 Container ecosystem 〉 Cloud technologies 〉 High Availability & Scalability 〉 @johscheuer 〉 https://github.com/johscheuer/Brownbags/tree/ma ster/docker_app_config 2
- 5. • Inflexible • Restart required • Easy to setup Static configuration 5
- 6. • Good for default configuration • Dev / Prod parity • Easy distribution • Needs a rebuilt on change Image (on build) 6
- 7. • Mount from host • Inject environment variable • Only simplekey/values • Fixed from start time • echo/sed in configuration files • Can overwritedefault configuration Start up time 7
- 8. • Flexible • Application must support it • Complexity • Configuration management • Key/Value store Dynamic configuration 8
- 9. • Mount config from host • Configuration management • Complex configuration • Independent of Container Mount 9
- 10. • Very flexible • Environmental variables • Configuration files • Templatefiles • Separatedsetup needed • Confd / Consul-template / envconsul Key valuestore 10
- 11. • Kubernetes • Configmap • Secrets • Mesos / Marathon • Artifact Store? • Swarm ? • Environment variables Environments 11
- 12. • Not all solutions will work • Mount doesn’t work • Config on all Nodes • Key Value store • Separated setup • Additional complexity Distributed 12
- 13. • Many backends • TOML (Tom's Obvious, Minimal Language) • Polling/Watch/Onetime • CMD to run after changes Confd 13
- 14. Confd (high level) 14 Host etcd cluster Prod Test prod test keys/prod/.. keys/test/..
- 15. Demo
- 16. • Similar to confd • Only Consul • HCL (HashiCorp Configuration Language) • Supports plugins • Rich feature set Consul template/env 16
- 17. • Find the right choice • What fits your application best? • Combinations possible • See example • No holy grail Conclusion 17
- 19. Q&A
- 20. Johannes M. Scheuermann inovex GmbH [email protected] CC BY-NC-ND inovex.de +JohannesScheuermann github.com/johscheu er @johscheuer youtube.com/inovexGmb H