Conferences

Confluent is proud to participate in the following conferences, trade shows and meetups.

MEETUP - A Tour of Apache Kafka

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7:00pm: Doors open
7:00pm - 7:30pm: Pizza, Drinks and Networking
7:30pm - 8:15pm: Matt Howlett, Confluent
8:15pm - 9:00pm: Victor Wibisono, Singapore Airlines

Speaker: Matt Howlett, Software Engineer at ConfluentSession: A Tour of Apache Kafka

Apache Kafka is a scalable streaming platform that forms a key part of the infrastructure at many companies including Netflix, Walmart, Uber, Goldman Sachs and LinkedIn. In this talk, Matt will give a technical overview of Kafka and how it differs from traditional messaging systems. He will then walk through some typical use cases including how Kafka can be used as a backbone for building fault tolerant micro-services, how it can be used to connect applications and data stores together at scale, and how to processing large quantities of data in real time using the Kafka Streams API and KSQL.

Speaker: Victor Wibisono, Data Engineer at Singapore AirlinesSession: SIA experience with Apache Kafka
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W-JAX

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Confluent will be a Platinum Sponsor at W-Jax 2018, the conference for Java, architecture and software innovation,
taking place November 5 – 9 in Munich.

Take the advantage of meeting our streaming experts during the conference and learn more about how a real-time streaming platform can become the central nervous system of your enterprise.

Speaker: Ben Stopford, Technologist, Office of the CTO, ConfluentSession: The Future of Applications is Streaming
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Speaker: Thomas Trepper, Technical Instructor, EMEA, ConfluentSession: Apache Kafka® Workshop: Introduction to the Architecture and Ecosystem of Enterprise Data Streaming
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Speaker: Robin Moffatt, Developer Advocate, ConfluentSession: Apache Kafka and KSQL in Action: Build a Streaming Data Pipeline!
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Speaker: Kai Waehner, Technology Evangelist, ConfluentSession: Unleashing Apache Kafka and Tensor Flow in the Cloud
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MEETUP - Processing IoT Data from End to End with MQTT and Apache Kafka

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Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Kai Waehner, Confluent
7:15pm - 7:45pm: Additional Q&A & Networking

Speaker: Kai Waehner, Technical Evangelist at ConfluentSession: Processing IoT Data from End to End with MQTT and Apache Kafka

This session discusses end-to-end use cases such as connected cars, smart home or healthcare sensors, where you integrate Internet of Things (IoT) devices with enterprise IT using open source technologies and standards. MQTT is a lightweight messaging protocol for IoT. However, MQTT is not built for high scalability, longer storage or easy integration to legacy systems. Apache Kafka is a highly scalable distributed streaming platform, which ingests, stores, processes and forwards high volumes of data from thousands of IoT devices.

This session discusses the Apache Kafka open source ecosystem as a streaming platform to process IoT data. See a live demo of how MQTT brokers like Mosquitto or RabbitMQ integrate with Kafka, and how you can even integrate MQTT clients to Kafka without MQTT Broker. Learn how to analyze the IoT data either natively on Kafka with Kafka Streams/KSQL or on an external big data cluster like Spark, Flink or Elasticsearch leveraging Kafka Connect.

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MEETUP - Building Scalable & Reliable Real-Time Streaming Apps with Kafka and KSQL

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6:00pm - 6:15pm: Networking, Mexican Food and Drinks
6:15pm - 7:00pm: Kafka, KSQL and YugaByte DB: Building Scalable & Reliable Real-Time Streaming Apps
The Easy Way, Bogdan Matican and Bharat Baddepudi, Yugabyte
7:00pm - 7.45pm: Best Practices for Stream Processing with Kafka and Apache
Ignite, Denis Magda, Apache Ignite PMC and GridGain
7:45pm - 8:00pm: Additional Q&A, Networking and Raffle drawing for an Xbox One S and more!

Speaker: Bogdan Matican and Bharat Baddepudi, Founding Engineers at YugabyteSession: Kafka, KSQL and YugaByte DB: Building Scalable & Reliable Real-Time Streaming Apps The Easy Way

Real-time streaming apps are increasingly driving business growth in verticals such as retail, IoT, telecommunications, financial services and SaaS. Ensuring the scalability and reliability of the data pipelines powering such apps in the face of ever-growing data volumes has traditionally required significant development and operations expertise. The combination of Kafka as the streaming platform, KSOL as the stream processing layer and YugaByte DB as the ultra-resilient, Cassandra-compatible database make these tasks easier than ever before. In this talk, we will review the key architectural patterns involved in the context of a sample IoT Fleet Management application built on Kafka, KSQL, YugaByte DB and Spring Boot.

Speaker: Denis Magda, Vice President of the Apache Ignite PMC and GridGain's Director of Product ManagementSession: Best Practices for Stream Processing with Kafka and Apache Ignite

Learn some of the best practices companies have used for making Apache Kafka and Apache Ignite scale. Making stream processing scale requires making all the components --including messaging, processing, storage -- scale together. During this talk, Denis will explain:
• The integration between Apache Ignite and Kafka and the commercially supported versions, GridGain and Confluent
• Examples of how Ignite and Kafka are used together
• Recommended approaches for deployment, monitoring and management
• Tips and tricks for performance and scalability tuning
• Answers to your questions

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MEETUP - Kafka Meetup at ING

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Agenda:
5:00pm - 6:00pm: Pizza, Drinks and Networking
6:00pm - 6:45pm: Kai Waehner, Confluent - Processing IoT Data from End to End with MQTT and Apache Kafka
6:45pm - 7:30pm: TBC, ING Talk
7:30pm - 7:45pm: small break
7:45pm - 8:30pm: Mic Hussey, Confluent - Apache Kafka and KSQL in Action : Let’s Build a Streaming Data Pipeline!
8:30pm - 9:30pm Additional Q&A & Networking

Speaker: Kai Waehner, Technical Evangelist at ConfluentSession: Processing IoT Data from End to End with MQTT and Apache Kafka

This session discusses end-to-end use cases such as connected cars, smart home or healthcare sensors, where you integrate Internet of Things (IoT) devices with enterprise IT using open source technologies and standards. MQTT is a lightweight messaging protocol for IoT. However, MQTT is not built for high scalability, longer storage or easy integration to legacy systems. Apache Kafka is a highly scalable distributed streaming platform, which ingests, stores, processes and forwards high volumes of data from thousands of IoT devices. This session discusses the Apache Kafka open source ecosystem as a streaming platform to process IoT data. See a live demo of how MQTT brokers like Mosquitto or RabbitMQ integrate with Kafka, and how you can even integrate MQTT clients to Kafka without MQTT Broker. Learn how to analyze the IoT data either natively on Kafka with Kafka Streams/KSQL or on an external big data cluster like Spark, Flink or Elasticsearch leveraging Kafka Connect.

Speaker: Mic Hussey, Systems Engineer at ConfluentSession: Apache Kafka and KSQL in Action : Let’s Build a Streaming Data Pipeline!

Hopefully you're already familiar with Apache Kafka - the massively scalable technology which allows you to build robust data pipelines. And have come across the plethora of Kafka Connectors that make it easy to join the ends of your data pipeline to other systems such as DBs or Big Data. But what do you do in the middle? Would you like to be able to transform, enrich and filter the data as it moves along the pipeline? Just break out your compiler! Only kidding, using KSQL it's possible to achieve all this without opening Eclipse at all....

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Devoxx Belgium 2018

Speaker: Ben Stopford, Technologist, Office of the CTO, ConfluentSession: Streaming Data for the Cloud Native Generation

Microservices taught us to build applications with fine-grained, replaceable components. Lambdas teach us to chains simple event-driven functions. But both these paradigms have one common problem: handling data. One of the most interesting and provocative ideas to arise from the stream processing community is the use of event streams, which are sewn together with a streaming layer like KSQL and pushed into functions, services, caches or databases.

In this talk we’ll explore the use of event streams as a source of truth, examining the relationship between events, event sourcing, stream processing and functions. We’ll look at how events can be captured, streamed and processed natively. How transactions give us the ability to perform complex manipulations before they hit our business logic, pushing this model out over different data centres and clouds. We’ll also examine the subtler, systemic effects that the pattern leads to: better autonomy, easier evolution and a more ephemeral approach to data.

Ben is a technologist in the Office of the CTO at Confluent Inc. (the company behind Apache Kafka®). He's works on a wide range of projects, from implementing the latest version of Kafka’s replication protocol through to writing a book on event-driven systems. Before Confluent Ben led the design and build of a company-wide data service in a large financial services firm. His earlier career spanned projects at ThoughtWorks and U.K.-based enterprise companies. He is the author of the book “Designing Event Driven Systems”, O’Reilly, 2018.

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Speaker: Robin Moffatt, Developer Advocate at ConfluentSession: Apache Kafka and KSQL in Action: Let’s Build a Streaming Data Pipeline!

Have you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again! Apache Kafka is a distributed, scalable, and fault-tolerant streaming platform, providing low-latency pub-sub messaging coupled with native storage and stream processing capabilities. Integrating Kafka with RDBMS, NoSQL, and object stores is simple with Kafka Connect, which is part of Apache Kafka. KSQL is the open-source SQL streaming engine for Apache Kafka, and makes it possible to build stream processing applications at scale, written using a familiar SQL interface.

In this talk we’ll explain the architectural reasoning for Apache Kafka and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, Kafka Connect, and KSQL.

Gasp as we filter events in real time! Be amazed at how we can enrich streams of data with data from RDBMS! Be astonished at the power of streaming aggregates for anomaly detection!

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Speaker: Robin Moffatt, Developer Advocate at ConfluentSession: Embrace the Anarchy: Apache Kafka’s Role in Modern Data Architectures

Building a flexible, scalable, real-time data architecture for the enterprise is no simple matter. Rarely does one single technology suit for all requirements, and frequently many different teams are involved which drives solutions with varying levels of [dis-]integration.

Apache Kafka is a streaming platform that acts as the 'data backbone' for the enterprise. By streaming events into Kafka as they occur, they can be used in any dependent system, in real time or batch. Search replicas, NoSQL stores, caches, graph databases - these all have their place in solving specific requirements, and all need to be fed with data! Kafka is the enabling platform that supports the event-driven, high performance, scalable integration of data throughout the enterprise, whilst also providing the messaging capabilities to drive applications directly.

This talk will discuss the role and benefits of Kafka in an architecture, the Kafka ecosystem, and several design patterns used to address specific challenges that organisations face with managing their flows and availability of data.

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Speaker: Nakul Mishra, Senior Software Engineer at Casumo Session: Demystifying Kafka

Kafka is an open-source distributed commit log addressing low latency, high throughput, scalability, fault-tolerance, and disk-based retention. It can be used to build tracking systems, messaging systems, high performance streaming platforms, real-time analysis, audit log….you name it. In our case, it’s been used to build a scalable event-store and messaging platform that stores billions of messages.

In this talk, we’re taking a closer look at essential Kafka concepts such as partition rebalancing, offset management, replication, producer/broker request fetching, file segments, etc. to understand what makes Kafka so scalable, resilient, performant and fault tolerant. We will also touch upon Kafka transactions to know what they are and how to leverage them. Last but not the least we will highlight some potential pitfalls that one should watch out when going to production with Kafka.

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Scale by the Bay

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Speaker: Neha Narkhede, Co-creator of Apache Kafka and Co-founder, ConfluentSession: Keynote: IIFriday, November 16, 9:00 a.m. - 9:40 a.m.
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Speaker: Gwen Shapira, Principal Data Architect, ConfluentSession: Deploying Kafka Streams Applications with Docker and KubernetesSaturday, November 17, 2:10 p.m. - 2:50 p.m.

Kafka Streams, Apache Kafka®’s stream processing library, allows developers to build sophisticated stateful stream processing applications which you can deploy in an environment of your choice. Kafka Streams is not only scalable but fully elastic allowing for dynamic scale in and scale out as the library handles state migration transparently in the background. By running Kafka Streams applications on Kubernetes, you will be able to use Kubernetes powerful control plane to standardize and simplify the application management—from deployment to dynamic scaling.

In this technical deep dive, we’ll explain the internals of dynamic scaling and state migration in Kafka Streams. We’ll then show, with a live demo, how a Kafka Streams application can run in a Docker container on Kubernetes and the dynamic scaling of an application running in Kubernetes.

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MEETUP - Exactly-once Semantics In Apache Kafka with Jay Kreps

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Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Jay Kreps, Confluent
7:15pm - 7:45pm: Additional Q&A & Networking

Speaker: Jay Kreps, Co-Founder and CEO of ConfluentSession: Exactly-once Semantics In Apache Kafka

How can you build event-driven applications and stream processing apps that get the right answer? Kafka has a set of new features supporting idempotence and transactional writes that help support building real-time applications with exactly-once semantics. This talk will give an overview of using these features and how they work.

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Big Data London

Speaker: Jay Kreps, Co-founder and CEO, ConfluentRoom: Keynote Theater13 November, 09:30

Jay Kreps is the CEO of Confluent, Inc., a company backing the popular Apache Kafka® messaging system. Prior to founding Confluent, he was formerly the lead architect for data infrastructure at LinkedIn. He is among the original authors of several open source projects including Project Voldemort (a key-value store). Apache Kafka (a distributed messaging system) and Apache Samza (a stream processing system).

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MEETUP - Stream Processing Done Right using Apache Kafka

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Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:30pm: Architecting for Cloud-Native: Stream Processing Done Right using Apache Kafka, Ricardo Ferreira, Confluent
7:30pm - 8:00pm: Additional Q&A & Networking

Speaker: Ricardo Ferreira, Developer Advocate at ConfluentSession: Architecting for Cloud-Native: Stream Processing Done Right using Apache Kafka

It might not strike you as a surprise that we are living in the Cloud era. With thousands of workloads working they way though the Cloud, developers from all around the world are absorbing new development practices about how to build Cloud-Native applications -- which drastically change the way they design these applications in which regards resource management, security, data jurisdiction, isolation, fault-tolerance and scalability. With Apache Kafka becoming a de-facto standard about how to collect/store/archive/process/stream data in real-time -- it is imperative that we also absorb Cloud-Native principles while building stream processing applications for it.

In this talk, we will look into how Cloud-Native affects the way we design stream processing applications for Apache Kafka, as well as which resources Confluent makes available for developers to make their life easier. Attendees of this talk will learn:

- Common pitfalls about designing Cloud-Native applications;
- Resources available for running Apache Kafka in the Cloud;
- KSQL: The easy-to-use language to handle streams of data;

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Elastic{ON} Tour

Join us for a full day of product roadmap insights, technical deep dives, hands-on demos, and local user stories designed to launch you into the next phase of your Elasticsearch journey. It’s your chance to learn from global Elastic experts and meet local community members to answer mission-critical questions.

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MEETUP - Manila Big Data Tech Meetup #6 - Apache Kafka and Airflow

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Speaker: Nick Dearden, Engineering Director at ConfluentSession: Streaming ETL with Apache Kafka and KSQL

Companies new and old are all recognising the importance of a low-latency, scalable, fault-tolerant data backbone - in the form of the Apache Kafka streaming platform. With Kafka developers can integrate multiple systems and data sources, enabling low latency analytics, event-driven architectures and the population of multiple downstream systems. What’s more, these data pipelines can be built using configuration alone. In this talk, we’ll see how easy it is to capture a stream of data changes in real-time from a database such as MySQL into Kafka using the Kafka Connect framework and then use KSQL to filter, aggregate and join it to other data, and finally stream the results from Kafka out into multiple targets such as Elasticsearch and MySQL. All of this can be accomplished without a single line of Java code!

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Big Data Spain

Discover innovative AI and BD strategies that will shape our future, where the ideas of tomorrow meet the experts of today.

Speaker: Kai Waehner, Technology Evangelist, ConfluentSession: KSQL - The Open Source SQL Streaming Engine for Apache Kafka
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MEETUP - Introducing Apache Kafka

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6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Nick Dearden, Confluent
7:15pm - 7:45pm: Arditto Trianggada, BRI
7:45pm - 8:15pm - Additional Q&A & Networking

Speaker: Nick Dearden, Engineering Director at ConfluentSession: Streaming ETL with Apache Kafka and KSQL

Companies new and old are all recognising the importance of a low-latency, scalable, fault-tolerant data backbone - in the form of the Apache Kafka streaming platform. With Kafka developers can integrate multiple systems and data sources, enabling low latency analytics, event-driven architectures and the population of multiple downstream systems. What’s more, these data pipelines can be built using configuration alone. In this talk, we’ll see how easy it is to capture a stream of data changes in real-time from a database such as MySQL into Kafka using the Kafka Connect framework and then use KSQL to filter, aggregate and join it to other data, and finally stream the results from Kafka out into multiple targets such as Elasticsearch and MySQL. All of this can be accomplished without a single line of Java code!

Speaker: Arditto Trianggada, Head of Big Data & Analytics
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Confluent Streaming Workshop

On 19 November, Confluent, provider of a streaming platform based on Apache Kafka®, and inovex, the data streaming specialist, invite you to Cologne for a three-hour workshop to demonstrate different use cases of streaming technology in large- and midsize- companies. These include examples from Audi, AirBnB and more.

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Codemotion Berlin 2018 Tech Conference

Speaker: Kai Waehner, Technology Evangelist, Confluent

Kai’s main area of expertise lies within the fields of big data analytics machine learning, integration, microservices, internet of things, stream processing and blockchain. He is regular speaker at international conferences such as JavaOne and O’Reilly Software Architecture or ApacheCon. He writes articles for professional journals and shares his experiences with new technologies on his blog.

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XebiCon '18

“Nous sommes convaincus qu’allier vision business et excellence technologique est indispensable dans un monde globalisé et concurrentiel. Le SI doit se préparer dès aujourd’hui à intégrer les technologies de demain et leurs cas d’usage. Nous croyons fermement au partage de la connaissance pour tous et par tous. C’est pourquoi, nous avons créé XebiCon, la conférence qui vous donnera les clés pour tirer le meilleur des dernières technologies.

-Luc Legardeur, Président de Xebia

Speaker: Damien Gasparina – Solution ArchitectSession: Apache Kafka – bonnes pratiques et erreurs courantes

Lorsque qu’Apache Kafka est utilisé dans des applications critiques, un déploiement stable et fiable est nécessaire dès le début. Au cours de cet échange, nous évoquerons les erreurs les plus communes rencontrées sur le terrain et comment les éviter. Comment assurer la durabilité des message ? Quels sont les paramètres de configuration à connaître ? Et, avant tout, comment monitorer Apache Kafka ? Nous tenterons de répondre à ces différentes questions.

Détails de l'événement

Confluent Streaming Workshop

On 21 November, Confluent, the co-creators of Apache Kafka®, and Inovex, the data streaming specialist, invite you to Hamburg for a three-hour workshop to demonstrate different use cases of streaming technology in large and midsize companies. These include examples from Audi, AirBnB and more.

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AWS re:INVENT

Join us for deeper technical content, more hands-on learning opportunities, keynote announcements, a bigger and better Partner Expo, exciting after-hours events, and the best party in technology—re:Play.

At re:Invent 2018, you can dive into solving challenges and working on a team in our two-hour workshops. In the chalk talks or builders sessions, you will have the opportunity to interact in a small group setting with AWS experts as they whiteboard through problems and solutions. In addition, we will be repeating our most popular sessions and offering late night sessions, so you get the most out of re:Invent.

Event Details

MEETUP - Streaming applications - from basic to advance usage

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Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Kai Waehner, Confluent
7:15pm - 7:25pm: Milos Molnar, Triviadata
7:25pm - 8:00pm - Additional Q&A & Networking

Speaker: Kai Waehner, Technical Evangelist at ConfluentSession: Introduction to Apache Kafka as Event-Driven Open Source Streaming Platform

This session introduces Apache Kafka as event-driven open source streaming platform. Apache Kafka goes far beyond scalable, high volume messaging. In addition, you can leverage Kafka Connect for integration and the Kafka Streams API for building lightweight stream processing microservices in autonomous teams. The open source Confluent Platform adds further components such as a KSQL, Schema Registry, REST Proxy, Clients for different programming languages and Connectors for different technologies and databases.

Speaker: Milos Molnar, CEO and Big Data Architect of Trivia DataSession: Data streaming in Telco - practical use cases

How telco operators used Kafka and data streaming for improvement Quality of Services, customer's satisfaction or network planning.

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UKOUG Conference

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Speaker: Robin Moffatt, Developer Advocate, ConfluentSession: Embrace the Anarchy (REDUX): Apache Kafka’s Role in Modern Data ArchitecturesRoom: Analytics & Big Data 2 - Default LocationTuesday, 4 December, 09:00 - 09:45
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Speaker: Robin Moffatt, Developer Advocate, ConfluentSession: Apache Kafka and KSQL in Action: Let’s Build a Streaming Data Pipeline!Room: Analytics & Big Data 2 - Default LocationWednesday, 5 December, 11:40 - 12:25
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Speaker: Robin Moffatt, Developer Advocate, ConfluentSession: No More Silos: Integrating Databases and Apache KafkaRoom: Database 2 - Default LocationWednesday, 5 December, 12:35 - 13:20
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IT-Tage 2018

Confluent is proud to be a Platinum Sponsor at the IT-Tage 2018 in Frankfurt. Meet us at our booth and don’t miss the keynote by Ben Stopford and more exciting Confluent sessions around Apache Kafka®, KSQL, machine learning and more.

Speaker: Ben Stopford, Technologist, Office of the CTO, ConfluentSession: Keynote
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KubeCon + CloudNativeCon

The Cloud Native Computing Foundation’s flagship conference gathers adopters and technologists from leading open source and cloud native communities in Seattle, WA on December 11-13, 2018. Join Kubernetes, Prometheus, OpenTracing, Fluentd, gRPC, containerd, rkt, CNI, Envoy, Jaeger, Notary, TUF, Vitess, CoreDNS, NATS, and Linkerd as the community gathers for three days to further the education and advancement of cloud native computing.

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MEETUP - Apache Kafka Meetup Japan #5 @LINE

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Speaker: David Peterson, Systems Engineer at ConfluentSession: Real Time Stream Processing with KSQL and Kafka

providing a simple and completely interactive SQL interface for processing data in Kafka. KSQL (like Kafka) is open-source, distributed, scalable, and reliable. A real time Kafka platform moves your data up the stack, closer to the heart of your business, allowing you to build scalable, mission-critical services by quickly deploying SQL-like queries in a severless pattern.

This talk will highlight key use cases for real time data, and stream processing with KSQL: Real time analytics, security and anomaly detection, real time ETL / data integration, Internet of Things, application development, and deploying Machine Learning models with KSQL.

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