I regularly upload new video recordings to my YouTube channel. In addition, Conference talks and webinars are often recorded. The following shows an overview with links to on-demand videos:
Conference Talks
Here are a few of my recorded conference talks:
- 2024 / 10 (OpenSlava): Panel Discussion: Generative Al: A Year of Real-World Impact
- 2024/ 10 (OpenSlava): The Evolution of Data Streaming with Kafka and Flink in the Cloud Era & Its Synergy with GenAl
- 2024 / 07 (YouTube): Data Streaming and Generative AI: The Emergence of Real-Time GenAI
- 2024 / 05 (YouTube): GenAI – RAG with Data Streaming using Kafka and Flink
- 2024 / 01 (Connack IoT Munich): MQTT and Apache Kafka – A Match Made in Heaven
- 2024 / 01 (YouTube): Live Demo – GenAi with Python, LangChain, OpenAI, Kafka and Flink
- 2023 / 12 (YouTube): What is Apache Flink? (Lightboard)
- 2023 / 11 (AWS ReInvent 2023, Las Vegas): DISH’s Smart 5G network: Cloud-native data streaming
- 2023 / 08 (Current 2023, San Jose): A Trifecta of Real-Time Applications: Apache Kafka, Flink, and Druid
- 2023 / 05 (Data in Motion Tour, Sydney): Stream Processing with Apache Flink in the Cloud and Stream Sharing
- 2023 / 02 (Kafka Meetup, Tel Aviv) – The Heart of the Data Mesh Beats Real-Time
- 2022 / 04 (Kafka Summit London) – Apache Kafka as the Real-time Backbone for Cybersecurity
- 2022 / 04 (QCon London) – Resilient Data Streaming Architecture for the Edge and Hybrid Cloud
- 2021 / 04 (Kafka Summit Europe) – Can Apache Kafka Replace a Database?
- 2021 / 04 (Energy Conference Network) – Apache Kafka for Oil & Gas, Smart Grid, and Energy Utilities
- 2021 / 04 (Bitkom AI Summit) – The Next Generation of Intelligent Software with Kafka and Machine Learning
- 2020 / 11 (Big Things Spain) – Streaming Machine Learning with Kafka
- 2020 / 10 (Confluent Streaming Days EMEA) – Streaming all over the World: Real-Life Use Cases & Architectures for Event Streaming
- 2020 / 09 (Kafka Summit Texas) – Apache Kafka, Tiered Storage and TensorFlow for Streaming Machine Learning without a Data Lake
- 2020 / 06 (Influx Days) – A Digital Twin for 100,000 connected cars with Kafka and InfluxDB
- 2020 / 06 (MongoDB World) – How to Build a Digital Twin with Apache Kafka and MongoDB Atlas
- 2019 / 12 (IT Tage Frankfurt) – Re-thinking Enterprise Architectures with Event Streaming (German)
- 2019 / 10 (Kafka Summit San Francisco) – Event-Driven Model Serving: Stream Processing vs. RPC with Apache Kafka and TensorFLow
- 2019 / 09 (Oracle OpenWorld / CodeOne San Francisco) – Unleashing Apache Kafka and TensorFlow in Public Cloud and Hybrid Architectures
- 2019 / 06 (Dataxday Paris) – How to Build Scalable and Reliable Machine Learning Architectures with the Apache Kafka Ecosystem
- 2019 / 04 (Kafka Summit London) – Apache Kafka vs. Integration Middleware (MQ, ETL, ESB) – Friends, Enemies or Frenemies?
- 2018 / 11 (Big Data Spain): KSQL – The Open Source Streaming SQL Engine for Apache Kafka
- 2018 / 10 (Kafka Summit San Francisco): Processing IoT Data End-to-End with MQTT and Apache Kafka
- 2018 / 04 (W-JAX Munich): Deep Learning in Mission-Critical and Scalable Real Time Applications with Open Source Frameworks
- 2018 / 02 (Voxxed Zurich): The Rise of a Streaming Platform: Apache Kafka and its Open Source Ecosystem
- 2017 / 10 (Kafka Meetup Stockholm): Building Event-Driven Microservices with Stateful Streams and Apache Kafka Ecosystem
- 2017 / 10 (MesosCon Prague): Highly Scalable Microservices with Apache Kafka, Kafka Streams and DC/OS
- 2017 / 04 (GopherCon Pune): Golang-based Open Source Project ‘Flogo’ for IoT Edge Integration
- 2017 / 03 (Codemotion Rome): Deep Learning and Neural Networks with R, TensorFlow, H2O.ai and TIBCO Spotfire
- 2016 / 12 (Codemotion Milan): Big Data Analytics, Machine Learning, Real Time Processing
- 2016 / 11 (Big Data Spain): Comparison of Streaming Analytics Frameworks
- 2016 / 11 (Big Data Spain): How to Apply Machine Learning to Real Time Processing
- Journey from On Premise ESB deployments to Cloud-Native Middleware Microservices
- How to apply big data analytics and machine learning to real time processing
- Stream Processing Frameworks as Game Changer for Big Data and IoT
- Microservices, Containers and a Cloud-Native Architecture for Middleware (Interview)
- Microservices: Death of the Enterprise Service Bus?
- Big Data beyond Apache Hadoop — How to integrate ALL your data
- Which Integration Framework to Use: Apache Camel, Spring Integration, or Mulesoft?
- NoSQL takes over — Systems Integration in the NoSQL Era with Apache Camel
Screencasts, Webinars and Podcasts
Here are a few of my recorded webinars and podcasts:
- 2021 / 08 – IT Modernization in the Telco Industry (OSS, BSS, OTT) powered by Apache Kafka
- 2021 / 08 – Gaming and Betting Use Cases and Architectures for Data in Motion
- 2021 / 06 – Behoerdenspiegel Podcast (German): The value of event streaming in the public sector
- 2020 / 05 – Confluent Podcast: Kafka at the Edge (i.e. Outside the Data Center)
- 2020 / 03 – Kafka for Industrial IoT Streaming | The 4th Gen Podcast
- 2020 / 12 – Top 5 Event Streaming Use Cases for 2021 – Edge Deployments, Hybrid Architectures, Service Mesh-based Microservices, Streaming Machine Learning, Cybersecurity
- 2020 / 08 – Streamsheets and Apache Kafka – Interactively build real-time Dashboards & Streaming Apps by using your Spreadsheet Skills
- 2020 / 08 – Use Cases and Architectures for Real-Time Data Streaming with Kafka and Confluent in the Telecom Industry
- 2020 / 07 – End to End Integration from IoT Edge to Serverless Apache Kafka in Confluent Cloud
- 2020 / 07 – Machine Learning with Apache Kafka without another Data Lake
- 2020 / 07 – Confluent Webinar – Kafka and Big Data Streaming Use Cases in the Gaming Industry
- 2020 / 07 – Confluent Webinar – Building a Secure, Tamper-Proof & Scalable Blockchain on Top of Apache Kafka
- 2020 / 06 – Confluent Webinar – Stand up to the Dinosaur: Mainframe Integration, Offloading and Replacement with Apache Kafka
- 2020 / 06 – Confluent Webinar – AI and Machine Learning for Life Sciences and Pharma
- 2020 / 05 – Confluent Webinar – IoT Architectures for Apache Kafka and Event Streaming
- 2020 / 04 – Apache Kafka and Machine Learning in the Finance Industry
- 2020 / 03 – Confluent Podcast: IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner
- 2019 / 12 – Confluent Podcast: Streaming Audio: Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB
- 2019 / 11 – Live Demo – 100.000 Connected Cars – Real Time Processing and Analytics with Kafka, MQTT and TensorFlow
- 2019 / 11 – Streaming Machine Learning with Apache Kafka and TensorFlow
- 2019 / 09 – Service Mesh and Cloud-Native Microservices with Apache Kafka, Kubernetes, Envoy, Linkerd, Istio
- 2019 / 08 – Industrial IoT (IIoT) – Real Time Supply Chain Optimization with Apache Kafka Ecosystem and Machine Learning
- 2019 / 08 – What’s new in Confluent Platform – Kubernetes Operator, Role Based Access Control (RBAC), Ansible Scripts, and more
- 2019 / 07 – Lightboard Webinar: IoT Edge to Confluent Cloud
- 2019 / 05 – Podcast / Interview with Enterprise Times: IoT Integration from Edge to Enterprise Cloud with the Apache Kafka Ecosystem
- 2019 / 05 – Webinar with Audi (German): Fast Data – Fast Cars => Connected Car Infrastructure @ Audi with Confluent Event Streaming Platform
- 2019 / 05 – Whiteboard Discussion: Ask Confluent #13 – Apache Kafka and Machine Learning with Kai Waehner
- 2019 / 03 – Apache Kafka vs. Middleware (MQ, ETL, ESB)
- 2018 / 11 – Google’s “Let’s Talk AI” – Data for AI in Real Time with Apache Kafka, GCP and Google ML
- 2018 / 08 – Apache Kafka + MQTT IoT Integration with Kafka Connect / Confluent MQTT Proxy
- 2018 / 08 – Unleashing Apache Kafka and TensorFlow in the Cloud
- 2018 / 07 – Confluent Webinar Series (German) Confluent Webinar Series about Kafka, Connect, Streams, Schema Registry, REST Proxy and KSQL
- 2018 / 03 – KSQL in 15min – Live Demo with streaming data in CSV, JSON and Avro Data Format
- 2017 / 10 – Deep Learning with the Apache Kafka Ecosystem
- 2017 / 10 – Apache Kafka + Kafka Streams + Apache Mesos for Highly Scalable Microservices
- 2017 / 08 – Highly Scalable Machine Learning with H2O.ai, TensorFlow and Apache Kafka’s Streams API
- 2017 / 03 – Case Study – How to Move from a (Middleware) Monolith to Cloud, Containers and Microservices
- 2017 / 02 – Flogo – Golang-powered Open Source IoT Integration Framework
- 2017 / 02 – Data Preparation: Data Preprocessing vs. (Inline) Data Wrangling in Machine Learning and Deep Learning Projects
- 2017 / 02 – Streaming Analytics with TIBCO StreamBase and Ethereum Blockchain
- 2017 / 01 – Circuit Breaker Design Pattern with Netflix’ Hystrix and TIBCO BWCE
- IoT Project Flogo – How to Build an Apache Kafka Connector (with Golang)
- Streaming Analytics – Comparison of Frameworks, Products and Cloud Offerings
- Comparison of Integration Frameworks for the Internet of Things (Apache Nifi, Eclipse Kura, Node-Red, Flogo)
- Golang-powered Open Source Project Flogo 15min Live Demo
- Introduction to Open Source Project Flogo for Integration of the Internet of Things
- Blockchain – The Next Big Thing for Middleware
- How to Apply Machine Learning (R, Apache Spark, H2O.ai) To Real Time Streaming Analytics
- TIBCO BusinessWorks Container Edition (BWCE) with Docker, Kubernetes, CloudFoundry, Consul and Spring Cloud Integration
- Data Warehouse vs Visual Real Time Analytics / Live Datamart
- TIBCO BusinessWorks (ESB) for Integration of Salesforce (CRM), SAP (ERP), Tibbr (Social Enterprise)