kai-waehner.de Report : Visit Site

Technical data of the kai-waehner.de

Geo IP provides you such as latitude, longitude and ISP (Internet Service Provider) etc. informations. Our GeoIP service found where is host kai-waehner.de. Currently, hosted in Germany and its service provider is http.net Internet GmbH .

buildingiot.london 

HTTP Header Analysis

HTTP Header information is a part of HTTP protocol that a user's browser sends to called Apache/2.4.33 (Unix) containing the details of what the browser wants and will accept back from the web server.

DNS

HtmlToText

kai whner - technology evangelist (big data analytics and middleware) welcome to my website. my name is kai waehner. i live near erlangen, germany and work as technology evangelist for confluent - a silicon valley startup focusing on the open source project apache kafka to build mission-critical, scalable, streaming infrastructures for tech giants, modern internet startups and traditional enterprises. my main area of expertise lies within the fields of big data, advanced analytics, machine learning, deep learning, integration, soa, microservices, bpm, cloud, internet of things, blockchain and programming languages such as java, scala, groovy, go, python and r. i regularly write about new technologies, articles and conference talks on my blog . 96 normal 0 false false false en-us x-none x-none the following shows my previous and upcoming talks at international conferences, video recordings and articles i published. talks at international conferences 2018 upcoming => it days (frankfurt) - mission critical machine learning in real time upcoming => apachecon northamerica (montreal, canada) - how to productionize machine learning with apache kafka open source ecosystem upcoming => confluent streaming day (munich) - unleash apache kafka and tensorflow in the cloud upcoming => java forum nord (hannover) - apache kafka as enterprise-wide streaming platform jbcn conf (barcelona) - deep learning at large scale with apache kafka ecosystem building iot (cologne) - sensor analytics in health care with kafka, ksql and machine learning tel aviv kafka meetup - deep dive into ksql codemotion amsterdam - deep learning at extreme scale with apache kafka open source ecosystem java with the best - ksql - an open source streaming sql engine for apache kafka kafka meetup zurich - ksql - an open source streaming sql engine for apache kafka v oxxed zurich 2018 - introduction to apache kafka as event-driven open source streaming platform o'reilly software architecture conference (new york) - apache kafka + apache mesos = highly scalable streaming microservices javaland 2018 (cologne) - new era of stream processing with apache kafka's streams api oop 2018 (munich) - deep learning in mission-critical and scalable applications with open source frameworks oop 2018 (munich) - apache kafka + apache mesos = highly scalable streaming microservices 2017 big data meetup oslo - apache kafka as open source streaming platform big data spain 2017 (madrid) - deep learning in real time with open source frameworks w-jax 2017 (munich) - highly scalable machine learning with apache kafka's streams api w-jax 2017 (munich) - ksql - an open source streaming engine for apache kafka kafka meetup (stockholm) - the rise of apache kafka as streaming platform mesoscon europe (prague) - highly scalable streaming microservices with apache kafka and mesos / dcos kafka meetup (hamburg) - ksql - an open source streaming engine for apache kafka hadoop meetup dublin - kafka + machine learning = no need for hadoop :-) javaone 2017 (san francisco) - deep learning in real time applications with apache kafka and tensorflow kafka meetup vienna - how to productionize machine learning models with apache kafka kafka meetup paris - how to productionize machine learning models with apache kafka kafka meetup zurich - how to productionize machine learning models with apache kafka kafka meetup munich - how to build intelligent real time microservices with apache kafka's streams api data natives @ google (london) - h2o.ai + apache kafka = highly scalable deep learning microservices kafka meetup at sap headquarters (walldorf, germany) - apache kafka + machine learning open source frameworks big data in practice summit (leipzig, germany) - machine learning and deep learning applied to real time with open source frameworks devops & microservices summit 2017 (london) - the move from classical on-premise integration to cloud-native middleware o'reilly software architecture conference nyc (new york, usa) - 10 lessons learned from building cloud-native middleware microservices codemotion tel aviv (israel) - how to deploy machine learning and deep learning models to real time codemotion amsterdam 2017 (netherlands) - real time scoring of analytic models at enterprise scale codemotion rome 2017 (italy) - live coding: machine learning with r, hadoop, spark and h2o.ai jdays 2017 (goteborg, sweden) - machine learning and deep learning in real time with r, apache spark and tensorflow jdays 2017 (goteborg, sweden) - case study: how to move from a monolith to cloud, containers and microservices voxxed bucharest 2017 (rumania) - open source integration frameworks for the internet of things gophercon 2017 (pune, india) - golang-powered open source project "flogo" for iot integration mumbai docker meetup - development of cloud-native middleware microservices brighttalk bi & big data summit (free online event) - comparison of etl vs streaming ingestion vs. data wrangling in machine learning jfokus 2017 (stockholm, sweden) - open source iot frameworks compared: nodered, kura, flogo, nifi oop 2017 (munich, germany) - case study: how to move from a monolith to cloud, containers and microservices oop 2017 (munich, germany) - disrupt business models by applying machine learning to real time processing docker meetup hannover (germany) - cloud native middleware with docker, kubernetes, consul and hystrix predictive analytics meetup frankfurt (germany) - predictive maintenance in manufacturing industry big data meetup nuremberg (germany) - advanced analytics with r, spark and h2o.ai applied to real time processing 2016 code europe cracow (poland) - introduction to the open source iot project flogo code europe warsaw (poland) - introduction to the open source iot project flogo java user group frankfurt - how to apply machine learning to real time processing microservices meetup zurich - how to leverage docker, kubernetes, consul and spring cloud config to realize microservices codemotion milan 2016 (italy) - r, h2o, apache spark for real time analytics big data spain 2016 (madrid) - how to apply machine learning to real time processing big data spain 2016 (madrid) - alternatives for streaming analytics rocky mountain datacon 2016 (denver, usa) - how to apply machine learning to real time event processing o'reilly software architecture conference sfo (san francisco, usa) - machine learning in real time event processing devoxx 2016 (casablanca, morocco) - project flogo as open source integration gateway for the internet of things devoxx 2016 (casablanca, morocco) - comparison of open source iot integration frameworks devoxx 2016 (casablanca, morocco) - how to apply machine learning to real time event processing o'reilly software architecture conference (london, uk) - apply machine learning to real time microservice events o'reilly software architecture conference (london, uk) - log analytics and operational intelligence for distributed microservices findability day (stockholm, sweden) - disrupt business models with smart data discovery and machine learning forum for industry 4.0 and machine communication (wrzburg, germany) - predictive analytics in real time for industry 4.0 javaone (san francisco, usa) - cloud native middleware with docker, kubernetes and cloudfoundry codemotion warsaw 2016 (poland) - cloud-native microservices in the middleware world lufthansa systems technology day (frankfurt, germany) - predictive analytics for industry 4.0 and internet of things lufthansa systems technology day (frankfurt, germany) - analysis and processing of sensor data to optimize vehicle routings in real time tibco now roadshow dach (frankfurt, munich, zurich) - digital transformation with a hybrid integration architecture tibco now 2016 (las vegas, usa): success stories for applying big data analytics and machine learning to real time processing big data beers meetup (berlin, germany): how to apply machine learning models to complex event

URL analysis for kai-waehner.de

http://www.kai-waehner.de/blog/2013/06/13/slides-online-how-to-create-intelligent-business-processes-thanks-to-big-data-bpm-apache-hadoop-talend-open-source/
http://www.kai-waehner.de/blog/2013/01/23/spoilt-for-choice-how-to-choose-the-right-enterprise-service-bus-esb/
http://www.kai-waehner.de/blog/2014/10/22/new-front-soa-open-api-api-management-game-changer/
http://www.kai-waehner.de/blog/2014/07/17/enterprise-integration-patterns-eip-revisited-in-2014/
http://www.kai-waehner.de/blog/2016/10/20/machine-learning-applied-microservices/
http://www.kai-waehner.de/blog/2013/09/25/how-to-choose-the-right-open-source-integration-framework-apache-camel-jboss-talend-spring-integration-pivotal-or-mule-esb-javaone-2013/
http://www.kai-waehner.de/blog/2016/03/03/streaming-analytics-with-analytic-models-r-spark-mllib-h20-pmml/
http://www.kai-waehner.de/blog/2016/11/03/comparison-open-source-iot-integration-frameworks/
http://www.kai-waehner.de/blog/2014/02/06/slides-from-oop-2014-online-next-generation-bpm-how-to-create-intelligent-business-processes-thanks-to-big-data/
http://www.kai-waehner.de/blog/2016/01/29/microservices-meetup-january-2016-in-dublin-ireland/
http://www.kai-waehner.de/blog/2013/02/28/systems-integration-in-the-nosql-era-with-apache-camel-and-talend-mongodb-neo4j-hbase-aws-s3-hazelcast-couchdb/
http://www.kai-waehner.de/blog/2018/05/15/ksql-deep-dive-open-source-streaming-sql-engine-for-apache-kafka/
http://www.kai-waehner.de/blog/2015/10/25/comparison-of-stream-processing-frameworks-and-products/
http://www.kai-waehner.de/blog/2013/04/26/slides-from-nosqlmatters-big-data-beyond-apache-hadoop-how-to-integrate-all-your-data-with-apache-camel-and-talend/
http://www.kai-waehner.de/blog/2017/04/05/cloud-native-middleware-microservices-10-lessons-learned-oreillysacon/

Whois Information

Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

% Copyright (c) 2010 by DENIC
% Version: 2.0
%
% Restricted rights.
%
% Terms and Conditions of Use
%
% The data in this record is provided by DENIC for informational purposes only.
% DENIC does not guarantee its accuracy and cannot, under any circumstances,
% be held liable in case the stored information would prove to be wrong,
% incomplete or not accurate in any sense.
%
% All the domain data that is visible in the whois service is protected by law.
% It is not permitted to use it for any purpose other than technical or
% administrative requirements associated with the operation of the Internet.
% It is explicitly forbidden to extract, copy and/or use or re-utilise in any
% form and by any means (electronically or not) the whole or a quantitatively
% or qualitatively substantial part of the contents of the whois database
% without prior and explicit written permission by DENIC.
% It is prohibited, in particular, to use it for transmission of unsolicited
% and/or commercial and/or advertising by phone, fax, e-mail or for any similar
% purposes.
%
% By maintaining the connection you assure that you have a legitimate interest
% in the data and that you will only use it for the stated purposes. You are
% aware that DENIC maintains the right to initiate legal proceedings against
% you in the event of any breach of this assurance and to bar you from using
% its whois service.
%
% The DENIC whois service on port 43 never discloses any information concerning
% the domain holder/administrative contact. Information concerning the domain
% holder/administrative contact can be obtained through use of our web-based
% whois service available at the DENIC website:
% http://www.denic.de/en/domains/whois-service/web-whois.html
%

Domain: kai-waehner.de
Nserver: ns1.routing.net
Nserver: ns2.routing.net
Nserver: ns3.routing.net
Status: connect
Changed: 2017-02-08T10:06:08+01:00

[Tech-C]
Type: PERSON
Name: Hostmaster of the Day
Organisation: sysprovide
Address: Malteserstrasse 170-172
PostalCode: 12277
City: Berlin
CountryCode: DE
Phone: +49 307 4302044
Fax: +49 307 6109915
Email: [email protected]
Changed: 2017-02-07T00:46:05+01:00

[Zone-C]
Type: PERSON
Name: Hostmaster Of The Day
Organisation: velogrid GmbH
Address: Franzstr. 51
PostalCode: 52064
City: Aachen
CountryCode: DE
Phone: +49 241 46314440
Fax: +49 241 46314441
Email: [email protected]
Changed: 2017-06-08T09:53:01+02:00

  REGISTRAR DENIC eG

  REFERRER http://www.denic.de/

SERVERS

  SERVER de.whois-servers.net

  ARGS -T dn,ace kai-waehner.de

  PORT 43

  TYPE domain

DOMAIN

  NAME kai-waehner.de

NSERVER

  NS1.ROUTING.NET 134.0.30.178

  NS2.ROUTING.NET 194.50.113.2

  NS3.ROUTING.NET 194.126.196.2

  STATUS connect

  CHANGED 2017-02-07

TECH

  NAME Hostmaster of the Day

  ORGANIZATION sysprovide

ADDRESS

STREET
Malteserstrasse 170-172

  PCODE 12277

  CITY Berlin

  COUNTRY DE

  PHONE +49 307 4302044

  FAX +49 307 6109915

  EMAIL [email protected]

ZONE

  NAME Hostmaster Of The Day

  ORGANIZATION velogrid GmbH

ADDRESS

STREET
Franzstr. 51

  PCODE 52064

  CITY Aachen

  COUNTRY DE

  PHONE +49 241 46314440

  FAX +49 241 46314441

  EMAIL [email protected]

  REGISTERED yes

Mistakes

The following list shows you to spelling mistakes possible of the internet users for the website searched .