Conferences

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

MEETUP - Blending Event Stream Processing with Machine Using the Kafka ecosystem

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6:45 pm - 7:15 pm: Reception, pretzels and beers, kindly offered by Radicalbit!
7:15 pm - 8:00 pm: Talk: "Blending Event Processing Stream with Machine using the Kafka ecosystem",
Roberto Bentivoglio & Andrea Spina (Radicalbit)
8:00 pm - 9:00 pm: Questions and networking

Speaker: Roberto Bentivoglio, CTO & Andrea Spina, Data Engineer (RadicalBit)Session: Blending Event Stream Processing with Machine using the Kafka ecosystem

During the Radicalbit Natural Analytics platform development the highest focus has been addressed to the integration of novels Artificial Intelligence capabilities to real-time based technologies, attempting to tackle the wide and challenging world of Streaming Learning Machine. The Kumma is a first citizen of the Radicalbit product, recently, the highest effort has been put on enriching with the core point of RNA. This is the reason why we are working on this topic and we are working on this topic. the Kappa Architecture idea; then, they will introduce the new projects at Radicalbit and their current work on Kafka by introducing two undertakings: k2o-serving, a module achieving streaming h2o model serving with Kafka Streams, and KafkaStreamsOML, a suite of online machine learning algorithms implemented on top of Kafka.

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New Approaches for Fraud Detection on Apache Kafka and KSQL

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Speaker: Dale Kim, Senior Director, Product Solutions, Arcadia Data
Speaker: Chong Yan, Solutions Architect, Confluent
9:00 a.m. PT | 12:00 p.m. ET | 5:00 BST

When it comes to corporate fraud, early detection is integral to mitigating and preventing drastic damage.

Modern streaming data technologies like Apache Kafka® and Confluent KSQL, the streaming SQL engine for Apache Kafka, can help companies catch and detect fraud in real time instead of after the fact. Kafka is ideal for managing fast, incoming data points, and KSQL provides the de facto standard for reading that data. Combine this with Arcadia Data visualizations designed for modern data types, and you have a powerful foundation for combating fraud.

Join experts from Confluent and Arcadia Data on Thursday, Sept. 20, at 9 am PT/12 pm ET/5 pm BST to learn how companies are using the newest technology to catch fraud in real time.

You will learn:

    Why traditional batch-driven approaches to fraud detection are insufficient today
    Why Apache Kafka is widely used for real-time fraud detection
    How KSQL and real-time visualizations open more opportunities for searching for fraud

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MEETUP - LAVA JUG

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Speaker: Florent RamièreSession: Beyond the brokers: a tour of the Kafka environment

Apache Kafka is not just about brokers, there is an open-source ecosystem that revolves around. I propose you to discover the main components like Kafka Streams, KSQL, Kafka Connect, Proxy Rest, Schema Registry, MirrorMaker, etc. Come with your questions, the more the session will be interactive, the better it will be!

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AWS Summit Toronto

The AWS Summit is a free event designed to bring together the cloud computing community to connect, collaborate and learn about AWS. Learn by attending sessions ranging in technical depth from introduction to advanced. Visit The Expo to speak with leading cloud technology providers and consultants who can help you get the most out of the AWS products, services and solutions in the cloud.

Event Details

Google Cloud Summit

Explore new ideas. Learn from industry experts. Engage with peers. Join us for an immersive event that brings together executives, customers, partners, developers, IT decision makers and Google engineers to build the future of the cloud. Choose from over 30 sessions on Google Cloud Platform, G Suite and more.

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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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SpringOne Platform

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Speaker: Neha Narkhede, Co-founder and CTO, ConfluentSession: Keynote

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.

Speaker: Rohit Bakshi, Product Manager, Confluent
Speaker: Prasad Radhakrishnan Manager, Data Engineering, Pivotal
Session: Cloud-Native Streaming Platform: Running Apache Kafka® on PKS (Pivotal Container Service)Room: Maryland Ballroom DWednesday, September 26, 11:30 a.m. - 12:40 p.m.

When it comes time to choose a distributed streaming platform of choice for real-time data pipelines, everyone knows the answer: Apache Kafka. And when it comes to deploying real-time stream processing applications at scale without having to integrate some different pieces of infrastructure yourself? The answer is Kubernetes. In this talk, Rohit Bakhshi, product manager at Confluent, and Prasad Radhakrishnan, head of platform architecture for data at Pivotal discuss the best practices of running Apache Kafka and other components of a streaming platform, such as Kafka Connect, Schema Registry as well as stream processing apps, on PKS (Pivotal Container Service). In this talk, the presenters will cover the challenges and lessons learned from development of Confluent Operator for Kubernetes as well as various custom deployments on PKS.

Session Details
Speaker: Viktor Gamov, Solutions Architect, Confluent
Speaker: Gary Russell, Senior Staff Software Engineer, Pivotal
Session: Walking up the Spring for Apache Kafka StackRoom: Maryland Ballroom CTuesday, September 25, 4:20 p.m. - 5:30 p.m.

Spring provides several projects for Apache Kafka. spring-kafka provides familiar Spring programming paradigms to the kafka-clients library. spring-integration-kafka adds Spring Integration channel adapters and gateways. The kafka binder for spring-cloud-stream provides kafka support to microservices built with Spring Cloud Stream and used in Spring Cloud Data Flow. In this talk we will take a look at developing applications at each layer of the stack, and discuss how to choose the layer for your application.

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ApacheCon

Speaker: Kai Wähner, Technology Evangelist, ConfluentSession: How to Leverage the Apache Kafka Ecosystem to Productionize Machine LearningRoom: Ballroom 250Thursday, 27 September, 12:20 - 13:10

This talk shows how to productionize machine learning models in mission-critical and scalable real-time applications by leveraging Apache Kafka® as streaming platform. The talk discusses the relation between machine learning frameworks such as TensorFlow, DeepLearning4J or H2O and the Apache Kafka ecosystem. A live demo shows how to build a mission-critical machine learning environment leveraging different Kafka components: Kafka messaging and Kafka Connect for data movement from and into different sources and sinks, Kafka Streams for model deployment and inference in real time and KSQL for real-time analytics of predictions, alerts and model accuracy.

Kai Waehner works as a 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 and O’Reilly Software Architecture, and he writes articles for professional journals and shares his experiences with new technologies on his blog.

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MEETUP - Kafka & Elasticsearch: Introduction, Best Practices & User Stories

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6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Streaming DynamoDB changelogs to Elasticsearch using Apache Kafka and Flink
by Ying Xu and Dan Fan
7:15pm - 7:45pm: Integrating Kafka into your Elasticsearch use case by Andrew Selden
7:45pm - 8:00pm: Microservices Integration Patterns with Kafka by Kasun Indrasiri
8:00pm - Additional Q&A & Networking

Speaker: Ying Xu, Elasticsearch and Dan Fan, ElasticsearchSession: Streaming DynamoDB changelogs to Elasticsearch using Apache Kafka and Flink

In this talk, we will present the architecture of Lyft’s changelog data ingestion pipeline which allows for real-time ingestion of DynamoDB changelogs into Elasticsearch. Our system uses Apache Kafka as a core pub-sub component storing all the changelog data. Apache Flink jobs are employed as connectors linking data source(s) and destination(s). By virtue of state-of-the-art streaming technology, the whole data pipeline achieves low latency, strong message durability and ordering guarantee, with scalability and extensibility built into the design.

Speaker: Andrew Selden, Senior Solutions Architect at ElasticSession: Integrating Kafka into your Elasticsearch use case

Andrew will be providing an introduction on how users are integrating Kafka into their Elasticsearch use cases. This will include best practices, architecture overviews and more.

Speaker: Kasun Indrasiri, Director of Integration Architecture at WSO2Session: Microservices Integration Patterns with Kafka

Microservice composition or integration is probably the hardest thing in microservices architecture. Unlike conventional centralized ESB based integration, we need to leverage the smart-endpoints and dumb pipes terminology when it comes to integrating microservices There are two main microservices integration patterns; service orchestration (active integrations) and service choreography (reactive integration). In this talk, we will explore on, Microservice Orchestration, Microservice Choreography, Event Sourcing, CQRS and how Kafka can be leveraged to implement microservices composition.

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CLOUD 2018 Technology & Services Conference

Learn more about Confluent Cloud, the resilient, scalable streaming data service based on Apache Kafka®, delivered as a fully managed service.

This event series answers questions like: Which cloud services and technologies are best suited for you? What about the performance and security of your cloud architecture?

Event Details

Brussels Apache Kafka Meetup: Kafka and Big Industries

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6:30 p.m. Doors open
6:30 p.m. - 7:00 p.m. Sandwiches, drinks and networking
7:00 p.m. - 7:45 p.m. Embrace the Anarchy, Robin Moffatt
7:45 p.m. - 8:15 p.m. Working with Kafka, Testimonial from the Trenches, Ron Vanderhoydonks
8:15 p.m. - 8:30 p.m. Additional Q&A and networking

Speaker: Robin Moffatt, Developer Advocate, 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 real-time, high-performance, scalable integration of data throughout the enterprise, while 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.

Robin is a developer advocate at Confluent, the company founded by the creators of Apache Kafka, as well as an Oracle ACE director and developer champion. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Apache™ Hadoop®, and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization.

Speaker: Ron Vanderhoydonks, DevOps Engineer, Big IndustriesSession: Working with Kafka, Testimonial from the Trenches

During this talk, Ron will cover a real customer case where Kafka has been selected as a key component in the setup of an IoT environment. First, the rationale for architectural choices will be explained followed by a summary of lessons learned about the operational use and deployment of Kafka in the cloud.

Ron is a hands-on DevOps engineer with experience in a wide variety of server systems and programming languages. He has worked in big corporate banking environments and in small startup companies, and is flexible enough to get work done in either—perfect for when you need someone that can find solutions on the server and programming side of IT.

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CE TV: First Steps with Apache Kafka on Google Cloud Platform

Speaker: Jay Smith, Cloud Customer Engineer, Google Cloud
Speaker: Gwen Shapira, Principal Data Architect, Confluent
10:30 a.m. PT - 11:15 a.m. PT

Curious about Apache Kafka®? Find out why you would want to use the de facto standard for real-time streaming, the easiest way to get started and how to leverage the extensive Apache Kafka ecosystem. In this chat, we'll talk about three common use cases, review stream processing patterns and discuss integration with important GCP services such as BigQuery. We'll also demo how to implement real-time clickstream analytics on Confluent Cloud, fully managed Apache Kafka as a service.

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CarIT Congress

Event Details

Confluent is connecting cars. Connecting customers. Connecting construction.

By placing a streaming platform as the central nervous system into the heart of every automotive company.

If you want to arrange a meeting, please follow the link below, fill out the form and feel free to give us some context around your request. We will then reach out to you to define the exact timing and your Confluent contact.

Speaker: Falko Schwarz, Vice President of Regional Sales, CEMEA, Confluent
Speaker: Perry Krolz, Senior Systems Engineer, Confluent
Session: Connecting Cars: The Streaming Platform as the Central Nervous System of Modern OEMsRoom: Sydney13:05 – 13:35

For the automotive industry, the digital transformation is also a digital revolution: new market players, new technologies and the ever-increasing volumes of data create new opportunities, but also new challenges that require completely new approaches in addition to new IT architectures.

In this interactive session we want to shed more light on the following points and discuss them with you, also using the example of a connected car platform:

    Challenges and solutions for integrating, processing and storing large amounts of data in real time
    Why both the technology giants from Silicon Valley and the automotive industry (must) rely on streaming platforms
    Applications from the automotive industry: the connection of cars, drivers and suppliers as a profitable factor
    Apache Kafka® and open source as a de facto standard both for Global 2000 and in SMEs for future transformation projects

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Meetup: 5 Steps to Build Streaming Systems with Neha Narkhede

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6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Neha Narkhede, Confluent
7:15pm - 7:45pm: Bill Bejeck, Confluent
7:45pm - 8:00pm - Additional Q&A & Networking

Speaker: Neha Narkhede, co-founder and CTO, ConfluentSession: 5 Steps to Build Streaming Systems6:30pm - 7:15pm

Neha will cover a five-step adoption journey we observe organisations going through as they build streaming systems.

First, the organisation becomes aware of streaming as an architectural paradigm and builds a pilot system. After that pilot succeeds, streaming goes live with the first production system.

Third, the small production system spreads to an mission-critical application. Fourth, as the organisation gains competence with the new platform and comes to depend more and more on the advantages conferred by a streaming platform, that mission-critical application is expanded to a global use case, where streaming data is produced and consumed across geographies.

Finally, the organisation learns that a streaming platform is the proper core on which to layer all of its applications and services, and the “central nervous system” metaphor of comprehensive streaming adoption finally becomes true. Streaming adoption, having begun with an idea and a pilot project, has finally transformed a business and its entire information architecture.

Speaker: Bill Bejeck, Software Engineer, ConfluentSession: Robust Operations of Kafka Streams7:15pm - 7:45pm

Apache Kafka added a powerful stream processing library in mid-2016, Kafka Streams, which runs on top of Apache Kafka. The community has embraced Kafka Streams with many early adopters, and the adoption rate continues to grow. Large to mid-size organizations have come to rely on Kafka Streams in their production environments. Kafka Streams has many advanced features to make applications more robust.

The point of this presentation is to show users of Kafka Streams some of the latest and greatest features, as well as some that may be advanced, that can make streams applications more resilient. The target audience for this talk are those users already comfortable writing Kafka Streams applications and want to go from writing their first proof-of-concept applications to writing robust applications that can withstand the rigor that running in a production environment demands.

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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.

Event Details

Indy Big Data Technology Conference

Speaker: Patrick Druley, Systems Engineer, ConfluentSession: Big Data and Stream Processing with Apache Kafka and KSQL

There is a major shift happening in how data powers the core of a company’s business. Apache Kafka® was built with the vision of becoming the central nervous system that makes data available in real time to all the applications that need to use it. This talk will introduce you to leveraging a streaming platform for everything from big data analytics to leading-edge applications. It will introduce some of the newer components to Kafka that help make this possible, including Kafka Connect, a framework for capturing continuous data streams, and KSQL, an open source SQL engine built on Kafka Streams.

Patrick Druley is a systems engineer at Confluent, advising business leaders on how to accelerate transformation of their business through real-time event streaming. He has spent over a decade working with customers in every industry and has a deep understanding of the challenges that companies face every day. At Confluent, he works with customers using the Confluent Platform and Apache Kafka to reduce point-to-point integration and drive real-time applications that revolutionize their business. He began his career building and enhancing data warehouses at Teradata, and later focused on advanced analytics relevant to consumer behavior and marketing. Before joining Confluent, Patrick was part of Oracle’s Big Data Cloud Platform Team helping companies migrate to cloud-based solutions for their big data and analytics needs. He has a degree in computer science from the University of Cincinnati and is based out of northeast Ohio.

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Enterprise Cloud, DevOps and Data Centres

ECC is the U.K.’s leading event for cloud and DevOps thought leaders and innovators across government and all major business sectors.

Speaker: Tim Vincent, Systems Engineer, ConfluentSession: Keynote8:30 a.m. - 4:30 p.m.

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MEETUP - Tim Berglund talks KSQL

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6:00pm: Doors open: Pizza & Drinks
6:30pm: Tim Berglund, Confluent
7:15 - 7:30 - Drinks, Networking and additional Q&A

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

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.

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KSQL and Demystifying Kafka

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6:00 p.m. Doors open
6:00 p.m. - 6:30 p.m. Pizza, drinks and networking
6:30 p.m. - 7:15 p.m. Robin Moffatt, Confluent
7:15 p.m. - 7:45 p.m. Nakul Mishra, Casumo
7:45 p.m. - 8:00 p.m. - Additional Q&A and networking

Speaker: Robin Moffatt, Developer Advocate, 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 the Kafka Connect API, 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, the Kafka Connect API 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!

Robin is a developer advocate at Confluent, the company founded by the creators of Apache Kafka, as well as an Oracle ACE director and developer champion. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization.

Speaker: Nakul Mishra, Senior Software Engineer, CasumoSession: Demystifying Kafka

Apache 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.

Nakul is a senior software engineer at Casumo and consultant around JVM and related technologies. Nakul prefers automation over manual configurations and is keen on continuous delivery, unit testing and code simplicity. Nakul is interested in developing applications that require creativity, imagination, fast learning and zest for putting theory into code.

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Google Cloud Summit

Explore new ideas. Learn from industry experts. Engage with peers. Join us for an immersive event that brings together executives, customers, partners, developers, IT decision makers and Google engineers to build the future of the cloud. Choose from over 30 sessions on Google Cloud Platform, G Suite and more.

Event Details

CLOUD 2018 Technology & Services Conference

Learn more about Confluent Cloud, the resilient, scalable streaming data service based on Apache Kafka®, delivered as a fully managed service.

This event series answers questions like: Which cloud services and technologies are best suited for you? What about the performance and security of your cloud architecture?

Event Details

Event-Driven Business: How Leading Companies are Adopting Streaming Strategies

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Speaker: John Santaferraro, Research Director, EMA
Speaker: Lyndon Hedderly, Director of Customer Solutions, Confluent
10:00 a.m. PT - 11:00 p.m. PT

New business models are built around the availability of real-time information on customers, payments and supply chains. As businesses look to expand traditional revenues, sourcing events from enterprise applications, mobile apps, IoT devices and social media in real time becomes essential to staying ahead of the competition.

Join John Santaferraro, research director at leading IT analyst firm Enterprise Management Associates (EMA), and Lyndon Hedderly, director of customer solutions at Confluent, to learn how business and technology leaders are adopting streaming strategies and how the world of streaming data implementations have changed for the better.

You will also learn how organizations are:

    Adopting streaming as a strategic decision
    Using streaming data for a competitive advantage
    Using real-time processing for their applications
    Evolving roadblocks for streaming data
    Creating business value with streaming use cases

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MEETUP - Confluent and Object Partners talk Kafka and KSQL

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5:30pm: Doors open
5:30pm - 6:00pm: Pizza, Drinks and Networking
6:00pm - 6:30pm: Cliff Gilmore, Confluent
6:30pm - 7:00pm: Neil Buesing, OPI
7:00pm - 7:30pm: John Holland, PeopleNet
7:30pm - 8:00pm: Free Throw Contest

Speaker: Cliff Gilmore, Sr. Solutions Engineer at Confluent
Speaker: Neil Buesing, Director of real-time data at OPISession: No tables needed, the latest advancements of KSQL

Neil Buesing will demonstrate various joining and windowing of Kafka Streams, and showcase the lastest KSQL features. This includes joins without KTables and user-defined functions.

Speaker: John Holland, Staff Engineer at ConfluentSession: Dude, Where's my Data?

In the age of massively distributed systems and specialized query engines data consistency can be difficult to achieve. In this presentation I will outline one common consistency issue and how it can be dealt with by embracing the stream as the system of record.

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MEETUP - Join us for a Kafka talk with Tim Berglund and Servian

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5:45pm: Doors open: Pizza & Drinks
6:15pm: Tim Berglund, Confluent
7:00pm: Jay Kim, Servian
7:45 - 8:30 - Drinks, Networking and additional Q&A

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

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.

Speaker: Jay Kim, Pre-Sales Consultant at ServianSession: Debezium, an open source change data capture (CDC) platform.

Jay Kim will be speaking about Debezium, an open source change data capture (CDC) platform. Change data capture refers to the process in which changes to a data set are identified for later consumption by consumer applications. Most commonly seen in data warehousing environments, CDC is seeing increased relevance in the modern data landscape in the context of stream processing, serverless computing and scalability. The presentation will cover a conceptual overview of the technology, a technical demonstration and potential business applications of Debezium.

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Kafka Talk with Tim Berglund and Servian

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5:45 p.m. Doors open, pizza and drinks
6:15 p.m. Tim Berglund, Confluent
7:00 p.m. Servian, Presentation
7:45 p.m. - 8:30 p.m. Drinks, networking and additional Q&A

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

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.

Tim Berglund is a teacher, author and technology leader with Confluent. He can frequently be found at speaking at conferences in the U.S. 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."

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MEETUP - YA JUG

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Speaker: Florent Ramière, Technical Account Manager at ConfluentSession: Beyond the brokers: a tour of the Kafka environment

Apache Kafka is not just about brokers, there is an open-source ecosystem that revolves around. I propose you to discover the main components like Kafka Streams, KSQL, Kafka Connect, Proxy Rest, Schema Registry, MirrorMaker, etc. Come with your questions, the more interactive the session will be, the better it will be!

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MEETUP - Breizh Jug

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Speaker: Florent Ramière, Technical Account Manager at ConfluentSession: Beyond the brokers: a tour of the Kafka environment

Apache Kafka is not just about brokers, there is an open-source ecosystem that revolves around. I propose you to discover the main components like Kafka Streams, KSQL, Kafka Connect, Proxy Rest, Schema Registry, MirrorMaker, etc. Come with your questions, the more the session will be interactive, the better it will be!

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How much Kafka do you need? The art and science of capacity planning

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Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Gwen Shapira, Confluent
7:15pm - 8:00pm - Additional Q&A & Networking

Speaker: Gwen Shapira, principal data architect, ConfluentSession: How much Kafka do you need? The art and science of capacity planning

No matter if you are new to Apache Kafka or an experienced expert, capacity planning questions seem to show up at every step of the adoption journey. Architects and developers need to know how many topics, how many partitions, what are the right message sizes and how to plan to scale. Operations teams need to know how many brokers, which hardware and even how many clusters are required. In a short talk that will attempt to cover lots of ground, we’ll go over the basics of planning Kafka deployments.

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JAX London

Speaker: Tim Berglund, Senior Director of Developer Experience, ConfluentSession: Stream Processing with Apache Kafka® and KSQL

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. In this workshop, you’ll get a thorough introduction to Apache Kafka, learn to understand what sort of architectures it supports, and most importantly, use the exciting new KSQL language to write real-time stream processing applications.

Session Details
Speaker: Tim Berglund, Senior Director of Developer Experience, ConfluentSession: The Database Unbundled: Commit logs in an age of Microservices

Microservice architectures provide a robust challenge to the traditional centralized database we have come to understand. In this talk, we’ll explore the notion of unbundling that database, and putting a distributed commit log at the center of our information architecture. As events impinge on our system, we store them in a durable, immutable log (happily provided by Apache Kafka), allowing each microservice to create a derived view of the data according to the needs of its clients. Event-based integration avoids the now well-known problems of RPC and database-based service integration, and allows the information architecture of the future to take advantage of the growing functionality of stream processing systems like Apache Kafka. This way we can create systems that can more easily adapt to the changing needs of the enterprise and provide the real-time results we are increasingly being asked to provide.

Session Details

Tim 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."

Event Details

MEETUP - Ben Stopford - Streaming, Databases & Distributed Systems – Bridging the Divide

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Speaker: Ben StopfordSession: Streaming, Databases & Distributed Systems – Bridging the Divide

There is something very interesting about stream processing. It builds upon messaging, rather than using a file system, as a more typical database does. But stream processing engines themselves are really a type of database. A database designed specifically to blend streams and tables so you can query continuous results. As such they span an architectural no-mans-land that sits between Database and Distributed Systems fields. This talk will look at Stateful Stream Processing. Can a streaming engine provide the guarantees of a database? When is a streaming engine best? How do they work, under the covers?

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Confluent Streaming Event Munich 2018

Ob Einzelhandel, Gesundheitswesen, Automobilhersteller oder Banken - jede Branche erfindet sich im Moment neu, um den Anforderungen des Markts jetzt und in Zukunft gerecht zu werden. Dies bringt mit sich, dass neue Konzepte und Technologien Einzug halten müssen.

So gilt es IT-Abläufe zu schaffen, die auf Ereignisse der realen Welt in Echtzeit reagiert, um sofort einen Mehrwert für das Unternehmen und den Kunden schaffen zu können. Diese Ereignisse sind das zentrale Konzept einer Event-Driven-Architecture und Event-Streaming-Plattform, die Digitalisierung neu denkt.

Die meisten Unternehmen nutzen Apache Kafka und Confluent als Herzstück ihrer digitalen Strategie für Echtzeit-Einblicke in Kundendaten, Betrugserkennung oder IoT-Datenverarbeitung.

Am 09. Oktober 2018 treffen sich Business-Begeisterte, Kafka-Pioniere, Confluent-Nutzer und -Experten im SOFITEL MUNICH BAYERPOST in München, um mehr über aktuelle Streaming-Projekte in den unterschiedlichsten Branchen zu erfahren.

Verpassen Sie außerdem nicht die Keynote von Gwen Shapira, Principal Data Architect bei Confluent Autorin von The definitive guide to Kafka, sowie die technischen und unternehmerischen Use Cases unserer Kunden und Partner.

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Modernizing Your Application Architecture with Microservices

Speaker: Simon Whitworth, Senior Director, Solution Architect, HVR
Speaker: Joe deBuzna, VP Field Engineering, HVR
Speaker: Chong Yan, Solution Architect, Confluent

Organizations are quickly adopting microservice architectures to achieve better customer service and improve user experience while limiting downtime and data loss. However, transitioning from a monolithic architecture based on stateful databases to truly stateless microservices can be challenging and requires the right set of solutions.

In this webinar, learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®. They will show you how to implement these solutions through a real-world demo use case of microservice adoption.

You will learn:

    How log-based change data capture (CDC) converts database tables into event streams
    How Kafka serves as the central nervous system for microservices
    How the transition to microservices can be realized without throwing away your legacy infrastructure

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MEETUP - SPIN meetup: Data-driven

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17.00: Reception with drinks and snacks
5.15pm: Welcome to Rubix data driven startup initiative
5.30pm: Events and Kafka
6pm: Confluent - Kafka Use Case - Mic Hussey (English)
18.45 hours: Dinner
19.30 hours: Smart Migration: Machine Learning in Integration
20.15 hours: Discussion / drinks
21.00: End

Speaker: Mic Hussey, ConfluentSession: Confluent – Kafka Use Case

Now that Agile, Continuous Delivery and Micro-Service Architectures have become commonplace and various initiatives are being taken to focus on this, in practice we see new challenges arising. Take the maneuverability of data. Not only in the structures, but also in terms of storage, messages and visualization. Data is / will be the new lock-in, because this can be adjusted less quickly and easier than everything around it. With Event-Sourcing and Event Driven concepts and techniques we can make this Data Agile again! Apache Kafka can play a big role in these new architectures. We would like to take you on a Kafka adventure together with our guest speaker Mic Hussey from Confluent. That they understand this product is evident because Confluent was founded by the creators of Kafka.

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Confluent Streaming Event Paris 2018

Companies are reinventing the retail, healthcare, automotive, travel, financial services and nearly every other possible sector around real-time event streams, creating a new technology model. Event architecture follows the idea of ​​designing software from events, things that happen in the real world and have real business sense, so that these events become the central concept of architecture.

More and more companies are using Apache Kafka® and Confluent at the heart of their digital strategy to get real-time information about customer data, fraud detection and IoT data processing.

On October 11, 2018, find decision-makers, data architects and IT developers at the Marceau Trade Shows in Paris to discover more about streaming platforms and Kafka projects underway in the most diverse industries.

Do not miss the intervention of Gwen Shapira, Senior Data Architect at Confluent and author of "The Definitive Guide to Kafka," as well as technical feedback from Confluent's customers and partners. Book your place now because they are limited.

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Open Source Automation Day

For a whole day there will be exciting presentations and news on current developments in the area of open source technologies, which you can discuss with the developers present and the specialist audience on site. Perry Krol from Confluent will present around Apache Kafka® and Kubernetes.

Speaker: Perry Krol, Senior Systems Engineer, ConfluentSession: Orchestrate Apache Kafka on Kubernetes 16:40 - 17:20
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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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MEETUP - Processing Streaming Data with KSQL

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

Speaker: Perry Krol, Senior Sales Engineer at ConfluentSession: Processing Streaming Data with KSQL

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.

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QCon Shanghai

Speaker: Guozhang Wang, Software, Engineer, ConfluentSession: Apache Kafka, from 0.8 to 2.0

Guozhang is a Kafka committer and PMC member. He currently works at Confluent on Kafka Streams. Previously, he worked as a senior engineer in the LinkedIn Data Architecture Group, where he was responsible for real-time data processing platforms, including the development and maintenance of Apache Kafka® and Apache Samza systems. Previously, he obtained his Ph.D. in computer science from Cornell University in the United States in 2013. His research interests include database management and distributed data systems.

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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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Kafka Shanghai Meetup

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时间表:
13:30 - 14:00 签到 / Sign in
14:00 - 14:10 开场白 / Opening
14:10 - 14:55 Apache Kafka,从0.7到1.0:那些年我们踩过的坑 (王国璋,Confluent)
14:55 - 15:25 携程实时计算平台架构与实践(潘国庆,携程)
15:25 - 15:55 基于大数据背景下的Kafka Connect实践 (吕鹏,DataPipeline)
15:55 - 16:10 茶歇 / Tea Break
16:10 - 16:40 基于Kafka1.0建立企业级消息系统平台的思考及实现(张勇华,唯品会)
16:40 - 15:10 详解Flink基于Kafka事务的严格一次语义实现 (秦江杰,阿里巴巴)
15:10 – 15:30 交流时间 / Networking time

Join us

Oracle Code One

Event Details
Speaker: Viktor Gamov, Solutions Architect, ConfluentSession: Kubernetes Operator in Go in One Hour [DEV5444]

Deploying and operating complex applications is not always trivial with standard Kubernetes tools. Kubernetes deployments can handle the situation when an application may need the least number of instances. But for more complex scenarios, autoscaling and reconfiguration, we need the ability to react to these events and perform necessary actions. Carrying out this task by implementing scripts with command-line tools can get cumbersome, especially as we get closer to real-life use cases in which we have to deal with resilience, log collection, and monitoring. This session takes a look at the Kubernetes Operator SDK and shows how to write an operator in Go. The operator will enable seamless monitoring of Java applications running in containers.

Speaker: Viktor Gamov, Solutions Architect, ConfluentSession: Cloud-Native Streaming Platform: Apache Kafka Meets Kubernetes [DEV5243]

When the time comes to choose a distributed streaming platform for real-time data pipelines, everyone knows the answer: Apache Kafka®. And when it comes to deploying real-time stream processing applications at scale without having to integrate some different pieces of infrastructure yourself? The answer is Kubernetes. This session discusses best practices for running Apache Kafka and other components of a streaming platform such as Kafka Connect and Schema Registry as well as stream processing apps on Kubernetes. It covers the challenges and lessons learned from developing the Confluent Operator for Kubernetes as well as different custom deployments on various Kubernetes installations​.

Speaker: Baruch Sadogursky, Developer Advocate, JFrog
Speaker: Viktor Gamov, Solutions Architect, Confluent
Session: Fight Crime with Kafka Streams and the Bintray Firehose API [DEV5246]

Can you find a malicious activity needle in the haystack of events on one of the busiest distribution hubs in the world? Processing the streaming events from the Bintray Firehose API with Kafka Streams can give you the superpower to do that. This session shows a real-life example of using Apache Kafka® KSQL to process and parse huge amounts of data to identify a worrying trend that might be a sign of a malicious activity.

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Reactive Summit

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Speaker: Antony Stubbs, Consultant Solutions Architect, ConfluentSession: Beyond the DSL—Unlocking the power of Kafka Streams with the Processor APIRoom: BallroomTuesday, 23 October, 12:20 - 13:10

Kafka Streams is a flexible and powerful framework. The domain-specific language (DSL) is an obvious place from which to start, but not all requirements fit the DSL model.

Many people are unaware of the processor API (PAPI)—or are intimidated by it because of sinks, sources, edges and stores—oh my! But most of the power of the PAPI can be leveraged, simply through the DSL `#process` method, which lets you attach the general building block `Processor` interface to your easy-to-use DSL topology, to combine the best of both worlds.

In this talk you'll get a look at the flexibility of the DSL's process method and the possibilities it opens up. We'll use real world use cases borne from extensive experience in the field with multiple customers to explore power of direct write access to the state stores and how to perform range sub-selects. We'll also see the options that punctuators bring to the table, as well as opportunities for major latency optimizations.

Key takeaways:

    Understanding of how to combine DSL and processors
    Capabilities and benefits of processors
    Real-world uses of processors

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MEETUP - Zeebe meets Confluent - Taming event-driven architectures

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6:00pm: Doors open
6:00pm - 6:30pm: Catering/Snacks, Drinks and Networking (probably not Pizza)
6:30pm - 7:15pm: Bernd Rücker, Camunda
7:15pm – 8:00pm: Perry Krol, Confluent
8:00pm - 8:15pm - Additional Q&A & Networking
9:00pm: end

Speaker: Bernd Rücker, Co-Founder CamundaSession: The Big Picture: Monitoring and Orchestration of Your Microservices Landscape with Kafka and Zeebe

A company’s business processes typically span more than one microservice. In an e-commerce company, for example, a customer order might involve microservices for payments, inventory, shipping and more. Implementing long-running, asynchronous and complex collaboration of distributed microservices is challenging. How can we ensure visibility of cross-microservice flows and provide status and error monitoring? How do we guarantee that overall flows always complete, even if single services fail? Or, how do we at least recognize stuck flows so that we can fix them? In this talk, I’ll demonstrate an approach based on real-life projects using the open source workflow engine zeebe.io to orchestrate microservices. Zeebe can connect to Kafka to coordinate workflows that span many microservices, providing end-to-end process visibility without violating the principles of loose coupling and service independence. Once an orchestration flow starts, Zeebe ensures that it is eventually carried out, retrying steps upon failure. In a Kafka architecture, Zeebe can easily produce events (or commands) and subscribe to events that will be correlated to workflows. Along the way, Zeebe facilitates monitoring and visibility into the progress and status of orchestration flows. Internally, Zeebe works as a distributed, event-driven and event-sourced system, making it not only very fast but horizontally scalable and fault tolerant—and able to handle the throughput required to operate alongside Kafka in a microservices architecture. Expect not only slides but also fun little live-hacking sessions and real-life stories.

Speaker: Perry KrolSession: Building Event Driven Microservices with Kafka Streams
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Open Source Summit Europe

Event Details
Speaker: Antony Stubbs, Consulting Solution Architect, ConfluentSession: Beyond the DSL—Unlocking the Power of Kafka Streams with the Processor APIRoom: TintoWednesday, Oct. 24, 11:15 - 11:55

Kafka Streams is a flexible and powerful framework. The domain-specific language (DSL) is an obvious place from which to start, but not all requirements fit the DSL model.

Many people are unaware of the Processor API (PAPI)—or are intimidated by it because of sinks, sources, edges and stores—oh my! But most of the power of the PAPI can be leveraged, simply through the DSL `#process` method, which lets you attach the general building block `Processor` interface to your -easy to use- DSL topology to combine the best of both worlds.

This talk will look at the flexibility of the DSL’s process method and the possibilities it opens up. We’ll use real world use cases borne from extensive experience from users to explore power of direct write access to the state stores and performing range sub-selects. The options that punctuators bring to the table as well as opportunities for major latency optimisations.

Antony is a solution architect for Confluent in Europe and spends most of his working hours talking to customers all around the world about their Kafka usage, his favourite being aspect being funky Kafka Streams use cases.

He has worked as a solution architect consultant for 1.5 years speaking to small groups for days, done some past presentations on Scala and cohosted a podcast on Java.

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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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LISA18

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Speaker: Robin Moffatt, Developer Advocate, 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 the Kafka Connect API, 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, the Kafka Connect API 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!

This will be a practical talk, after which attendees will have a clear idea of the power of stream processing and how to get started with it using the open source Apache Kafka and KSQL projects.

Robin is a developer advocate at Confluent, as well as an Oracle ACE director and developer champion. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization.

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O'Reilly Software Architecture Conference

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Speaker: Benjamin Stopford, Technologist, Office of the CTO, ConfluentSession: Event Streaming as a Source of TruthRoom: King's Suite - BalmoralTuesday, 30 October, 15:50 - 16:40

One of the most interesting and provocative patterns to face the software architecture community is the use of event streaming as a source of truth. A pattern where replayable logs, like Apache Kafka®, are used for both communication as well as event storage, incorporating the retentive properties of a database in a system designed to share data across many teams, clouds and geographies.

This is a concept Ben Stopford believes to be transformative. Such a bold claim should of course be met with a healthy degree of skepticism, but the interesting thing about communication patterns is that their value comes from often subtle, systemic effects, particularly where humans are involved. You will be familiar with these already: email, Twitter, Slack and Facebook are all conceptually similar forms of communication, but display very different dynamics in practice, yet zeroing in on exactly why these tools operate and feel so different is rarely as simple as it may seem.

So, in this talk Ben explores not only the event streaming pattern but also the systemic effects it has on the architectures we build around it, digging into where the value really lies. He examines the relationship between events, event sourcing and stream processing, leading the audience to the idea of a database unbundled, or turned inside out. He also explores how the pattern encourages subtler systemic effects: easier evolution, a more ephemeral view on data and systems that seamlessly span departments, cloud providers and geographies.

Ben Stopford is a technologist at Confluent (the company behind Apache Kafka), where he has worked on a wide range of projects, from implementing the latest version of Kafka’s replication protocol through to developing strategies for streaming applications. Before Confluent, Ben led the design and build of a company-wide data platform for a large financial institution, as well as working on a number of early service-oriented systems, both in finance and at ThoughtWorks. He is the author of the book “Designing Event Driven Systems,” O’Reilly, 2018.

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Crunch Conference

Speaker: Tim Berglund, Senior Director of Developer Experience, ConfluentSession: Kafka as a Platform: The Ecosystem from the Ground Up

Apache Kafka® has become a key data infrastructure technology, and we all have at least a vague sense that it is a messaging system, but what else is it? How can an overgrown message bus be getting this much buzz? Well, because Kafka is merely the center of a rich streaming data platform that invites detailed exploration.

In this talk, we’ll look at the entire open source streaming platform provided by the Apache Kafka and Confluent Open Source projects. Starting with a lonely key-value pair, we’ll build up topics, partitioning, replication and low-level producer and consumer APIs. We’ll group consumers into elastically scalable, fault-tolerant application clusters, then layer on more sophisticated stream processing APIs like Kafka Streams and KSQL. We’ll help teams collaborate around data formats with schema management. We’ll integrate with legacy systems without writing custom code. By the time we’re done, the open source project we thought was big data’s answer to message queues will have become an enterprise-grade streaming platform.

Tim Berglund is a teacher, author and technology leader with Confluent. He can frequently be found at speaking at conferences in the U.S. 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."

Event Details

Confluent Streaming Workshop

15:30 - 21:00 CEST

On 30 October, Confluent, provider of a streaming platform based on Apache Kafka®, and mimacom, the data engineering specialist, invite you to Stuttgart 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, plus a detailed look at how job-room.ch is using Kafka as a backbone for Spring Microservices.

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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.

Event Details

NewsWhip and Confluent Talk Kafka

6:00 p.m. Doors open
6:00 p.m. - 6:30 p.m. Pizza, drinks and networking
6:30 p.m. - 7:15 p.m. Mic Hussey, Confluent
7:15 p.m. - 7:45 p.m. Gabriel Broilo and Bruno Rossi, NewsWhip
7:45 p.m. - 8:00 p.m. - Additional Q&A and networking

Speaker: Gabriel Broilo, Technical Architect, NewsWhip
Speaker: Bruno Rossi, Software Engineer, NewsWhip
Session: Kafka and NewsWhip

Over the past year NewsWhip has been migrating our core data ingestion systems to rely on Apache Kafka® as core component. This talk will focus on our experience at NewsWhip with the Kafka and Confluent ecosystem, particularly Kafka itself, Schema Registry/Avro and Kafka Connect.

Gabriel and Bruno work on data ingestion and processing technology at NewsWhip.

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W-JAX

Event Details

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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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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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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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).

Event Details

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.

Event Details

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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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

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.

RSVP

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.

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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
Session Details
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.

Event Details

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