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

KSQL Knowledge Series

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8:00 am – 8:30 am Registration and Breakfast 8:30 am – 9:45 am Apache Kafka, Apache Kafka Streams API and KSQL Overview 9:45 am – 10:15 am Confluent Overview and Vision 10:15 am – 10:30 am Ask Me Anything / Wrap Up

Confluent Knowledge Series is coming to Seattle! Join us Friday, February 23rd, to learn how to build real-time streaming applications with KSQL. This series explains the KSQL engine architecture, and how to design and deploy interactive, continuous queries for streaming ETL, anomaly detection and real-time analytics.

We’ll provide you with an introduction to Apache Kafka®, its Streams API and KSQL, the new streaming SQL engine for Apache Kafka. This event is perfect for Kafka beginners or those that have yet to explore its stream processing capabilities.

You’ll leave with a foundation on: -Read, write, and process streaming data in real-time, at scale. -Express stream processing transformations. -Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.

Speaker: Nick Dearden, Director of Engineering, Confluent
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O'Reilly Software Architecture Conference

Speaker: Kai Wähner, Technology Evangelist, ConfluentSession: Apache Kafka + Apache Mesos = Highly Scalable Streaming MicroservicesFebruary 27, 4:50 pm – 5:40 pm

Microservices establish many benefits like agile, flexible development and deployment of business logic. However, a Microservice architecture also creates many new challenges like increased communication between distributed instances, the need for orchestration, new fail-over requirements, and resiliency design patterns.

This session discusses how to build a highly scalable, performant, mission-critical microservice infrastructure with Apache Kafka and Apache Mesos. Apache Kafka brokers are used as powerful, scalable, distributed message backbone. Kafka’s Streams API allows to embed stream processing directly into any external microservice or business application; without the need for a dedicated streaming cluster. Apache Mesos can be used as scalable infrastructure for both, the Apache Kafka brokers and external applications using the Kafka Streams API, to leverage the benefits of a cloud native platforms like service discovery, health checks, or fail-over management.

A live demo shows how to develop real time applications for your core business with Kafka messaging brokers and Kafka Streams API and how to deploy / manage / scale them on a Mesos cluster using different deployment options.

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AFCEA Cyber Security Technology Summit

The 8th Annual Cybersecurity Technology Summit reflects the DC chapter’s longstanding commitment to supporting the armed forces’ on-going development of cybersecurity strategies and tactics. As before, the summit will provide attendees with insights into emerging innovations from the government and private sectors, education about acquisition policies and regulations, and the latest updates from government leaders about current and emerging cyber efforts. The 2018 summit will open with a session including cyber talks and fireside chats with leading scientists, government officials, and private industry experts discussing the future of federal cybersecurity and information resilience. Other highlights include:

    The final round and judging of the AFCEA Cybersecurity Shark Tank
    Breakout sessions that include panel discussions, featuring subject matter experts from the military, industry and government, addressing such topics as artificial intelligence, federal cyber budgets, cyber threats to Infrastructure, the known and unknowns of emerging threats, and more
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Elastic{ON} Conference: San Francisco

Speaker: Chong Yan, Solutions Architect, ConfluentSession: Integrating Apache Kafka and Elastic Using the Connect FrameworkFebruary 28, 5:00 pm
Speaker: Nick Dearden, Director of Engineering, ConfluentSession: Streaming ETL to Elastic with Kafka and KSQLMarch 1, 10:00 am
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VDA Technischer Kongress

Der 20. Technische Kongress des VDA wird am 27. & 28. Februar 2018 im Maritim Hotel in Berlin stattfinden. Wir werden die künftigen Herausforderungen der Fahrzeugindustrie und die Zukunft des Automobils u.a. in den Themenbereichen Vernetzung und Automatisierung, klima- und umweltfreundliche Antriebe sowie Sicherheit im Straßenverkehr einer interessierten Öffentlichkeit vorstellen und diskutieren. Die urbane Mobilität, die Sicherheit von Daten und die Lösungen unserer Industrie werden ebenfalls auf dem Technischen Kongress eine bedeutende Rolle spielen.

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Processing Streaming Data with KSQL

6:00pm Doors open 6:00pm - 6:15pm Networking, Pizza and Drinks 6:15pm - 7:15pm Processing Streaming Data with KSQL, Tim Berglund, Confluent 7:15pm - 7:30pm Additional Q&A and Networking

Speaker: Tim Berglund, Senior Director of Developer Experience, ConfluentSession: Processing Streaming Data with KSQL

Abstract: Apache Kafka is a de facto standard streaming data processing platform, being widely deployed as a messaging system, and having a robust data integration framework (Kafka Connect) and stream processing API (Kafka Streams) to meet the needs that common attend real-time message processing. But there’s more!

Kafka now offers KSQL, a declarative, SQL-like stream processing language that lets you define powerful stream-processing applications easily. What once took some moderately sophisticated Java code can now be done at the command line with a familiar and eminently approachable syntax. Come to this talk for an overview of KSQL with live coding on live streaming data.

About Tim: Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the Senior Director of Developer Experience. He can frequently be found at speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Distributed Systems, and is the author of Gradle Beyond the Basics. He lives in Littleton, CO, USA with the wife of his youth and their youngest child, the other two having mostly grown up.

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Meetup: Building a Real-Time Streaming Platform

6:00 pm - 6:30 pm Food and Networking 6:30 pm - 7:30 pm Presentation 7:30 pm - 8:00 pm Q&A and Networking

Speaker: Gwen Shapira, Principal Data Architect, ConfluentSession: Building a Real-Time Streaming Platform

Abstract: One of the main use-cases for Apache Kafka is the building of reliable and flexible data pipelines. Part of Apache Kafka, Kafka Connect enables the integration of data from multiple sources, including Oracle, Hadoop, S3 and Elasticsearch. Building on Kafka's Streams API, KSQL from Confluent enables stream processing and data Transformations using a SQL-like language.

This presentation will briefly recap the purpose of Kafka, and then dive into Kafka Connect with practical examples of data pipelines that can be built with it. We'll explore two options for data transformation and processing: Pluggable Single-Message Transformations and the newly-announced KSQL for powerful query-based stream processing.

About Gwen: Gwen is a principal data architect at Confluent helping customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, "Hadoop Application Architectures", and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. When Gwen isn't coding or building data pipelines, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.

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Meetup: Event Sourcing in Apache Kafka

6:30 pm Doors open 6:30 pm - 7:00pm Networking, Pizza and Drinks 7:00 pm - 7:45 pm Event Sourcing in Apache Kafka - Mario Molina, Datio 7:45 pm - 8:00 pm Additional Q&A 8:00 pm - 8:30 pm Additional Networking

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Это кто там такой твитит про #KSQL?

4:50 pm Doors open 5:00 pm - 6:00 pm Это кто там такой твитит про #KSQL? 6:00 pm - 7:00 pm Additional Q&A and Networking

Speaker: Viktor Gamov, Solutions Architect, Confluent

Что может быть интересней, чем построение систем конвейерной обработки данных (data pipelines)? Давайте разберём поток твитов прямо здесь, используя модные технологии — Apache Kafka®, Kafka Connect и KSQL! Мы же все знаем и любим SQL, правда? Так вот, KSQL — это почти как SQL, только для Kafka. KSQL позволяет создавать сложные системы обработки потоковых данных, без написания Java или Scala (sick!) кода! Но самое интересное начнется тогда, когда в режиме реального времени, с помощью KSQL, мы будем обрабатывать ленту твитов и разберемся, кто больше всех твитит во время митапа!

Виктор Гамов — со-основатель и лидер любимого многими программистами правильного подкаста «Разбор Полётов». По совместительству является Solution Architect в компании Confluent, которая разрабатывает платформу на базе Apache Kafka. Помогает клиентам в проектировании и разработке распределенных систем обработки потоковых данных. Соавтор книги «Enterprise Web Development» издательства O'Reilly. В свободное от работы время Виктор не забывает про качалку и бицуху. Является завсегдатаем конференций JUG.ru Group (JPoint, Joker, JBreak) и других международных конференций (JavaOne, Devoxx, OSCON, Qcon).

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Strata Data West

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Speaker: Tim Berglund, ConfluentSession: Stream processing with KafkaRoom: 210 C/GMarch 6, 9:00 am – 12:30 pm

Abstract: Tim Berglund leads a basic architectural introduction to Kafka and walks you through using Kafka Streams and KSQL to process streaming data.

About Tim: Tim Berglund is a teacher, author and technology leader with Confluent, where he serves as the senior director of developer experience. Tim can frequently be found at speaking at conferences internationally and in the United States. He is the copresenter of various O’Reilly training videos on topics ranging from Git to distributed systems and is the author of Gradle Beyond the Basics. He lives in Littleton, Colorado, with the wife of his youth and and their youngest child, the other two having mostly grown up.

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Speaker: Gwen Shapira, ConfluentSession: The future of ETL isn't what it used to beRoom: 212 A-BMarch 7, 11:00 am – 11:40 am

Abstract: Gwen Shapira shares design and architecture patterns that are used to modernize data engineering and details how Apache Kafka, microservices and event streams are used by modern engineering organizations to efficiently build data pipelines that are scalable, reliable, and built to evolve.

About Gwen: Gwen Shapira is a system architect at Confluent, where she helps customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen currently specializes in building real-time reliable data-processing pipelines using Apache Kafka. Gwen is an Oracle Ace Director, the coauthor of Hadoop Application Architectures, and a frequent presenter at industry conferences. She is also a committer on Apache Kafka and Apache Sqoop. When Gwen isn’t coding or building data pipelines, you can find her pedaling her bike, exploring the roads and trails of California and beyond.

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Session: Meet the Experts with Gwen ShapiraRoom: Expo Hall - MTEMarch 7, 11:50 am

Come and talk to Gwen Shapira! Meet the Experts sessions give you the chance to meet face-to-face with Strata presenters in a small-group setting. Drop in to discuss their sessions, ask questions, or make suggestions.

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Meetup: The World of Kafka, and a Roadmap Overview

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Special thanks to Codecentric who is hosting us for this event.

18:15 Doors Open 18:30 - 19:00 Pizza, Drinks and Networking 19:00 - 19:50 The World of Kafka, Akhlaq Malik, Codecentric 19:50 - 20:00 Q&A 20:00 - 20:10 Roadmap for Apache Kafka and Confluent, Kai Waehner, Confluent 20:10 - 20:15 Q&A 20:15 - 20:30 Networking

Speaker: Akhlaq MalikSession: The World of Kafka

In this talk we learn about the current tools in the the Kafka world. We start with the open source core technology Kafka, Kafka-Streams & Kafka-C

Akhlaq is an IT consultant at codecentric AG in Frankfurt. He is passionate about software development and constantly trying to solve IT problems to make organizations more productive and faster. Open source technologies are his thing and lately he participating a lot at Big Data projects.

Speaker: Kai WaehnerSession: Roadmap for Apache Kafka and Confluent

Kai Waehner works as Technology Evangelist at 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, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog.

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Oracle Code New York

Speaker: Viktor Gamov, Solutions Architect, ConfluentSession: Crossing The Streams: Rethinking Stream Processing with KStreams and KSQLRoom: Level 1, Hall E, Room 13/1512:10 pm - 12:55 pm

Dealing with constantly changing data at low latency is hard. But it doesn't need to be that way. Many of us know Apache Kafka's architectural and pub/sub API particulars. But that doesn't mean we're equipped to build the kind of real-time streaming data systems that the next generation of business requirements are doing to demand. We need to get on board with streams! Viktor Gamov will introduce Kafka Streams and KSQL that allows building sophisticated stream processing systems with little to no code at all! Viktor will demonstrate source code that will bring your thinking about streaming data systems from the ancient history of batch processing into the current era of streaming data!

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Meetup: Live Coding Kafka Stream Processing Applications with KSQL

Thanks to Mobify for hosting this event!

6:00 pm Doors open, Mingling, Pizza and Refreshments 6:30 pm Welcome, Introductions and Presentation 7:30 pm Additional Q&A and Networking 8:00 pm Event concludes

Who's ready for an interactive session to see Kafka in action?

More of a lesson than a 'talk,' join us as members of the Confluent team build a complete streaming application with KSQL. There will be plenty of hands-on action, plus a description of our thought process and design choices along the way. Look out for advice on best practices and handy tips and tricks as we go. There will be lots opportunity for questions on core messaging and data integration topics as well as stream processing.

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Big Data Analytics Europe Conference

The Big Data Analytics Europe, organized by the Whitehall Media will take place on March 8th, 2018, at the Movenpick Hotel Amsterdam City Centre in Amsterdam, the Netherlands. The conference will cover areas like Actionable Business Insights, Big Data and Emerging Technologies (IoT, Mobile, Social) Business and ICT Collaboration, Business Intelligence and Analytics and Data Compression, Discovery, Management, Warehousing and many more.

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Voxxed Days Zürich Developer Conference

Speaker: Kai Wähner, Technology Evangelist, Confluent Session: Introduction to Apache Kafka as Event-Driven Open Source Streaming Platform

This session introduces Apache Kafka, an 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. Live Demos included.

Kai Waehner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning / Deep Learning, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain. He is regular speaker at international conferences such as JavaOne, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog.

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Big Data Paris 2018

Le Big Data bouleverse plus que jamais les processus des entreprises et, en 2018, la tendance est à la démocratisation de la donnée et de son utilisation par les métiers. Détection de fraude, satisfaction client, anticipation de pannes ou d’opportunités commerciales, amélioration de l’efficacité opérationnelle…à mesure que son ROI devient plus mesurable et ses avantages évidents, le Big Data poursuit son expansion et exige des investissements et une place prépondérante dans la structure des organisations.

Dans ce nouveau paradigme, les entreprises doivent focaliser leurs efforts sur le déploiement de l’architecture la plus efficace et sécurisée pour collecter, stocker et traiter une abondance de données de plus en plus hétérogènes, en temps réel et en intégrant des technologies de machine learning.

Les opportunités et problématiques liés au Big Data sont variées et concernent tous les acteurs de l’entreprise, qu’ils soient techniques ou prescripteurs.

Avec les témoignages de plus de 100 speakers et 250 marques exposantes, ne manquez pas l’événement leader du Big Data en France et guidez votre entreprise vers une nouvelle dimension!

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StrategieTage IT

StrategieTage IT ist eine zweitägige Veranstaltung mit 15 Informationstechnologie-Workshops.

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JavaLand

Vortragender: Kai Waehner, Technology Evangelist, ConfluentSession: New Era of Stream Processing with Apache Kafka’s Streams APIMarch 13, 13:00 - 13:40

Stream Processing is a concept used to act on real-time streaming data. This session shows and demos how teams in different industries leverage the innovative Streams API from Apache Kafka to build and deploy mission-critical streaming real time application and microservices.

The session discusses important Streaming concepts like local and distributed state management, exactly once semantics, embedding streaming into any application, deployment to any infrastructure. Afterwards, the session explains key advantages of Kafka’s Streams API like distributed processing and fault-tolerance with fast failover, no-downtime rolling deployments and the ability to reprocess events so you can recalculate output when your code changes.

The end of the session demos how to combine any custom code with your streams application – by an example using an analytic model built with any machine learning framework like Apache Spark ML or TensorFlow.

Kai Wähner works as Technology Evangelist at 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, O'Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog.

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Ooyala Adtech: Liberating Data Streams with Kafka and Friends

5:30 pm Doors open 5:30 pm - 6:00 pm Networking, Pizza and Drinks 6:00 pm - 6:45 pm Ooyala Adtech: Liberating Data Streams with Kafka and Friends, Stanislav Chizhov, Oolaya Adtech 6:45 pm - 7:15 pm Additional Q&A and Networking

Abstract: In Ooyala Adtech we have 1B+ ad events per day to be collected, delivered in near real-time to tens of different consumers, which include ad server decision engine itself, forecasting, reporting and more. We used to run it on RabbitMQ and a home-built blob storage, but it was not reliable enough, had high operation costs and made onboarding new data streams difficult. Recently we have completed replacing it with new Kafka-based solution, which we does not have the above mentioned limitations.We have switched all the consumers and changed messaged format to Avro and now we are using quite a lot from Kafka ecosystem: Kafka Streams, Google PubSub connector, S3 Connector, Schema registry and Mirror Maker and soon K-SQL and Debezium. For some of the stateful consumers we had to implement backup/restore of event topics to/from S3.

About Stanislav: Stanislav is a software engineer in Ooyala Adtech, where he develops a data delivery backbone and ecosystem with the ultimate goal to make creating and processing arbitrary data streams a commodity. He works mostly with Kafka technology stack and Java

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CIOSynergy Charlotte

By Invitation Only: 100 IT leaders collaborate in a day of thought-leading exchange as we examine directions from within the Office of the CIO; all under the umbrella of riveting keynotes, revealing panels, engaging round-tables and unparalleled networking.

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ConnecTech

ConnecTech isn’t your typical trade show format. We bring a small group of local executives together and provide them with highly-relevant information on the areas of concern within IT. There’s no booths, no vendor bingo, or any unwanted follow-ups. Our setting is high-end, personal, and allows you to network with your peers. You provide feedback, after the short breakout sessions, to control who follows up post-event.

We work to give everyone what they want, from an event, without all the unwanted side effects that follow most events.

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The Move from Micro-Service to Event-Sourcing Architecture

18:00 - 18:30 Networking, Mingling and Refreshments 18:30 - 19:30 Let’s Stop Obsessing About Data Infrastructure, Yair Weinberger, Alooma 19:30 - 20:30 Distributed Kafka Architecture, Taboola Scale, Tal Sliwowicz and Lior Chaga, Taboola

Speaker: Yair Weinberger, CTO, AloomaSession: Let’s Stop Obsessing About Data Infrastructure

Stop obsessing about data infrastructure. The move from micro-service oriented architecture to modern event-sourcing based architecture.

YouTube Live-Stream Event
Speaker: Tal Sliwowicz, Director R&D - Infrastructure Engineering & Lior Chaga, Senior Software Engineer - Data Platform, TaboolaSession: Distributed Kafka Architecture, Taboola Scale

In this talk, we will present our multi-DC Kafka architecture, and discuss how we tackle sending and handling 10B+ messages per day, with maximum availability and no tolerance for data loss. Our architecture includes technologies such as Cassandra, Spark, HDFS, and Vertica - with Kafka as the backbone that feeds them all.

YouTube Live-Stream Event
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Meetup: KSQL for Apache Kafka

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6:00 pm Doors open 6:10 pm - 6:45 pm KSQL - An Open Source Streaming Engine for Apache Kafka, Kai Waehner (Confluent) 6:45 pm - 7:20 pm Data Integration with Kafka on Openshift, Thomas Peter (Generali) and Yves Brise (IPT) 7:20 pm - 8:30 pm Networking, apéro and drinks

Speaker: Kai Waehner, Confluent Session: KSQL - An Open Source Streaming Engine for Apache Kafka

Abstract: The rapidly expanding world of stream processing can be daunting, with new concepts such as various types of time semantics, windowed aggregates, changelogs, and programming frameworks to master. KSQL is an open-source, Apache 2.0 licensed streaming SQL engine on top of Apache Kafka which aims to simplify all this and make stream processing available to everyone. Benefits of using KSQL include: No coding required; no additional analytics cluster needed; streams and tables as first-class constructs; access to the rich Kafka ecosystem. This session introduces the concepts and architecture of KSQL. Use cases such as Streaming ETL, Real Time Stream Monitoring or Anomaly Detection are discussed. A live demo shows how to setup and use KSQL quickly and easily on top of your Kafka ecosystem.

About Kai: Kai Waehner works as Technology Evangelist at 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, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog.

Speaker: Thomas Peter, Generali, and Yves Brise, IPTSession: Data Integration with Kafka on Openshift

Session information is coming soon.

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JPoint Java Conference

Speaker: Viktor Gamov, Solutions Architect, Confluent & Baruch Sadogursky, Developer Advocate, JFrogSession: Kafka Streams and Firehose API Helping to Fight “Russian Hackers”:tm:April 6, 18:30

Abstract: You can hear about “Russian hackers” everywhere. Are they even real? In this talk, we’ll try to find the traces of Cozy Bear, Fancy Bear and other bears by analyzing behavior patterns on the Bintray platform using Apache Kafka and Firehose API. We’ll use Kafka KSQL to process large amounts of stream data, which any Firehose API gives in real time, and find there evil (not necessarily) patterns.

No prior knowledge about Kafka Streams, KSQL, Firehose APIs, Bintray or Russian hackers needed!

About Viktor: Viktor Gamov is a Solution Architect at Confluent, the company that develops a platform based on Apache Kafka. Viktor helps clients to develop distributed systems of thread-specific data processing. Is a co-author of O’Reilly's “Enterprise Web Development”. Viktor regularly presents at JUG.ru Group conferences (such as JPoint, Joker and JBreak) and other international conferences like JavaOne, Devoxx, OSCON, Qcon.

About Baruch: Baruch Sadogursky (a.k.a JBaruch) is a Developer Advocate of JFrog, the creators of Artifactory Binary Repository, the home of Bintray, and JavaOne 2011 Duke Choice Awards winner. For a living he hangs out with the JFrog tech leaders, writes some code around Artifactory and Bintray, and then speaks and blogs about all that. He does it repeatedly for the last 10 years and enjoys every moment of it.

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Devoxx France

Devoxx France is a conference in 2 highlights, over 3 days. The first day, called "University", allows you to attend long presentations and participate in workshops. For example a session on Docker, then a workshop on Angular 2, and finally presentations of tools at the end of the day.

On Thursday and Friday, Devoxx France offers Keynotes first, prestigious speakers, then a cycle of 8 conferences, all 50 minutes. You can build your own agenda and follow different sessions as you wish.

Coming from the Java community, Devoxx France has opened over the years and welcomes developers in general. From the Web to Security, via Cloud Computing, our selection committee sorts and selects 230 proposals out of 900 applications.

Devoxx France is part of the family of Devoxx conferences (Belgium, England, Poland, Morocco and USA). Our community brings together more than 10,000 developers around the world.

Speaker: Gwen Shapira, ConfluentSession: Monitor Kafka Like a Pro
Speaker: Gwen ShapiraSession: Stream All Things - Patterns of Modern Data Integration
Speaker: Florent RamièreSession: Beyond Brokers: The Kafka Environment (Workshop)
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Kafka Summit London

Discover the World of Streaming Data

As streaming platforms become central to data strategies, companies both small and large are re-thinking their architecture with real-time context at the forefront. Monoliths are evolving into Microservices. Datacenters are moving to the cloud. What was once a ‘batch’ mindset is quickly being replaced with stream processing as the demands of the business impose more and more real-time requirements on developers and architects.

This revolution is transforming industries.

What started at companies like LinkedIn, Uber, Netflix and Yelp has made its way to countless others in a variety of sectors. Today, thousands of companies across the globe build their businesses on top of Apache Kafka®. The developers responsible for this revolution need a place to share their experiences on this journey.

Kafka Summit is the premier event for data architects, engineers, devops professionals, and developers who want to learn about streaming data. It brings the Apache Kafka community together to share best practices, write code, and discuss the future of streaming technologies.

Welcome to Kafka Summit London!

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Interop ITX

Speaker: Gwen Shapira, ConfluentSession: Metrics Are Not Enough: Monitoring Apache KafkaMay 4, 10:00 am - 10:50 am

When you are running systems in production, clearly you want to make sure they are up and running at all times. But in a distributed system such as Apache Kafka… what does "up and running" even mean?

Experienced Apache Kafka users know what is important to monitor, which alerts are critical and how to respond to them. They don't just collect metrics - they go the extra mile and use additional tools to validate availability and performance on both the Kafka cluster and their entire data pipelines.

In this presentation we'll discuss best practices of monitoring Apache Kafka. We'll look at which metrics are critical to alert on, which are useful in troubleshooting and what may actually misleading. We'll review a few "worst practices" - common mistakes that you should avoid. We'll then look at what metrics don't tell you - and how to cover those essential gaps.

Gwen is a systems architect at Confluent. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen is the author of "Kafka - The Definitive Guide" and "Hadoop Application Architectures," and a frequent presenter at industry conferences. Gwen is a PMC member on the Apache Kafka project and committer on Apache Sqoop. When Gwen isn't building data pipelines or thinking up new features, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.

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Codemotion Amsterdam

Speaker: Kai Wähner, Technology Evangelist, Confluent

Kai Wähner works as Technology Evangelist at 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, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog.

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Strata Data London

Speaker: Michael Noll, Product Manager, ConfluentSession: Unlocking the World of Stream Processing with KSQL, the Streaming SQL Engine for Apache KafkaMay 23, 14:05 – 14:45

We introduce KSQL, the open source streaming SQL engine for Apache Kafka. KSQL makes it easy to get started with a wide range of real-time use cases such as monitoring application behavior and infrastructure, detecting anomalies and fraudulent activities in data feeds, and real-time ETL. We cover how to get up and running with KSQL and also explore the under-the-hood details of how it all works.

Michael Noll is a product manager at Confluent, the company founded by the creators of Apache Kafka. Previously, Michael was the technical lead of DNS operator Verisign’s big data platform, where he grew the Hadoop, Kafka, and Storm-based infrastructure from zero to petabyte-sized production clusters spanning multiple data centers—one of the largest big data infrastructures in Europe at the time. He is a well-known tech blogger in the big data community. In his spare time, Michael serves as a technical reviewer for publishers such as Manning and is a frequent speaker at international conferences, including Strata, ApacheCon, and ACM SIGIR. Michael holds a PhD in computer science.

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Building IoT 2018

Speaker: Kai Wähner, Technology Evangelist, ConfluentSession: Process IoT Data with Apache Kafka, KSQL and Machine LearningJune 5, 10:45 - 11:25

IoT devices generate large amounts of data that must be continuously processed and analyzed. Apache Kafka is a highly scalable open-source streaming platform for reading, storing, processing and routing large amounts of data from thousands of IoT devices. KSQL is an open source streaming SQL engine natively based on Apache Kafka to enable stream processing to anyone using simple SQL commands.

This talk, with a health care scenario, shows how Kafka and KSQL can help to continuously perform health checks on patients. A live demo shows how machine learning models - trainers with frameworks such as TensorFlow, DeepLearning4J or H2O - can be deployed in a time-critical and scalable real-time application.

Previous Knowledge Knowledge of distributed systems and architectures is helpful. Experience with machine learning is helpful, but not mandatory.

Learning Objectives

    Apache Kafka is a streaming platform for reading, storing, processing and forwarding large volumes of data from thousands of IoT devices.
    KSQL allows continuous integration and analysis without external big-data clusters and without writing source code.
    Machine learning models can be easily trained and used in the Apache Kafka environment.

Kai works as a Technology Evangelist at Confluent. The kangaroo areas are Big Data Analytics, Machine Learning / Deep Learning, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain.

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Big Data Analytics London

We showcase Big Data use cases and techniques that drive the greatest business value. With an emphasis on real-life implementation of Big Data technologies, this practical business forum will provide bold vision from leading innovators across the data-driven spectrum. Join hundreds of C-suite executives, business strategists, data scientists and analytics professionals to leverage the opportunity to harness your data for competitive advantage.

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Google Cloud Next

Google Cloud Next ’18 is your chance to unlock new opportunities for your business, uplevel your skills, and uncover what’s next for Cloud.

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Strata Data East

How do you drive business results with data?

Every year thousands of top data scientists, analysts, engineers, and executives converge at Strata Data Conference—the largest gathering of its kind. It's where technologists and decision makers turn data and algorithms into business advantage.

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SpringOne

Speaker: Neha Narkhede, Co-founder and CTO, Confluent

Neha is the co-founder of Confluent and one of the initial authors of Apache Kafka®. She’s an expert on modern, stream-based data processing.

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Kafka Summit San Francisco

Discover the World of Streaming Data

As streaming platforms become central to data strategies, companies both small and large are re-thinking their architecture with real-time context at the forefront. Monoliths are evolving into Microservices. Data-centers are moving to the cloud. What was once a ‘batch’ mindset is quickly being replaced with stream processing as the demands of the business impose more and more real-time requirements on developers and architects.

This revolution is transforming industries. What started at companies like LinkedIn, Uber, Netflix and Yelp has made its way to countless others in a variety of sectors. Today, thousands of companies across the globe build their businesses on top of Apache Kafka®. The developers responsible for this revolution need a place to share their experiences on this journey.

Kafka Summit is the premier event for data architects, engineers, devops professionals, and developers who want to learn about streaming data. It brings the Apache Kafka community together to share best practices, write code, and discuss the future of streaming technologies.

Welcome to Kafka Summit San Francisco!

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