Conferences

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

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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MEETUP - 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

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Oracle Code One

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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

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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 (Public Sector)

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Join us for product roadmap insights, technical deep dives, hands-on demos, and user stories designed to launch you into the next phase of your Elasticsearch journey. This one-day event delivers the best practices and know-how you need to drive success with Elasticsearch and the open source Elastic Stack in the public sector.

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MEETUP - Kafka streams and monitoring

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6:00pm: Doors open
6:00pm - 6:30pm: Drinks and Networking
6:30pm - 7:15pm: Developing scalable, cluster ready applications is easier with Apache Kafka
7:15pm - 7:30pm: Short break
7:30pm - 8:15pm: Monitoring Kafka
8:15pm - 9:00pm - Additional Q&A, Pizza, Drinks and Networking

Speaker: Igor Buzatović, Sofware Architect Inovativni trendovi d.o.o.Session: Developing scalable, cluster ready applications is easier with Apache Kafka yes!

For many server side applications built today, scalability and high availability is "must have" requirement. Achieving horizontal scalability is not a trivial task. We are entering "distributed computing" zone, where we have to orchestrate multiple instances of application or it's modules to work as one system. Apache Kafka can help a lot, handling big part of that orchestration, allowing us to write less (and cleaner) application code. In this talk, we will examine some use cases which demonstrate that.

Speaker: Ivan Turčinović, Technical lead for software development in Inovativni trendovi d.o.oSession: Monitoring Kafka

Apache Kafka is a distributed streaming platform. You can have 3 to hundreds of Kafka Broker nodes in you cluster. In such distributed environment, to be aware of health of your cluster and to be able to reacts quickly on outages is really important. That's where monitoring comes in. In this presentation we will go through most important parts when it comes to monitoring Apache Kafka 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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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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MEETUP - Apache Kafka & KSQL in Action: Use Cases & Demo

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6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Tom Underhill, Confluent
7:15pm - 7:45pm: Marie Fraune & Charalampos Papadopoulos SVA
7:45pm - 8:00pm - Additional Q&A & Networking

Speaker: Tom Underhill, Partner Solutions Architect at ConfluentSession: Apache Kafka and KSQL in Action: Let’s Build a Streaming Data Pipeline.

Have you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again! Apache Kafka is a distributed, scalable, and fault-tolerant streaming platform, providing low-latency pub-sub messaging coupled with native storage and stream processing capabilities. Integrating Kafka with RDBMS, NoSQL, and object stores is simple with Kafka Connect, which is part of Apache Kafka. KSQL is the open-source SQL streaming engine for Apache Kafka, and makes it possible to build stream processing applications at scale, written using a familiar SQL interface. In this talk we’ll explain the architectural reasoning for Apache Kafka and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, Kafka Connect, and KSQL

Speaker: Marie Fraune & Charalampos Papadopoulos, Big Data Analytics experts at SVASession: Using Kafka – Best-practices by SVA

Being Confluent’s biggest partner in Germany, SVA has been applying Kafka for several years in order to solve various customers’ specific challenges. The SVA speakers will share lessons-learnt from these use cases and talk about the experience they made with getting Kafka up-and-running.

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Voxxed Days

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Speaker: Damien Gasparina, Engineer, ConfluentSession: Integrating Microservices by Accepting the Data Dichonomy

When building a microservices-based systems, we don’t generally think too much about data. If we need data from another service, we ask for it. This pattern works well for whole swathes of use cases, particularly ones where datasets are small and requirements are simple. But real business services have to join and operate on datasets from many different sources and this can be slow and cumbersome in practice.

These problems stem from an underlying dichotomy. Data systems are built to make data as accessible as possible - a mindset that focuses on getting the job done. Services, instead, focus on encapsulation - a mindset that allows independence and autonomy as we evolve and grow. But these two forces inevitably compete in most serious service-based architectures.

Understanding and accepting this dichotomy is an important part of designing service-based systems at any significant scale. In this talk, we will explain how to make use of a shared, immutable sequence of records to balance data that sits inside their services with data that is shared, an approach that allows the likes of Uber, Netflix, and LinkedIn to scale to millions of events per second.

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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."

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MEETUP - Apache Kafka Introduction and Use Cases

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6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:30pm: Manish Mehndiratta, SageIT Inc.
7:30pm - 8:00pm: Additional Q&A & Networking

Speaker: Manish Mehndiratta, Director of Enterprise integrations at SageIT IncSession: Apache Kafka Introduction and Use Cases

Apache Kafka, in recent times, has gained in popularity and is becoming an integral part of implementations and enterprises across all industries. In his talk, Manish Mehndiratta, Director of Enterprise Integrations at SageIT will focus on what is Apache Kafka? The role of Apache Kafka in the message driven architecture. Key features that have attracted organizations to accept and implement this distributed messaging system. The talk will also cover few use cases, common architectural styles as well as patterns to implement Apache Kafka.

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Elastic{ON} Tour

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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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Google Cloud Summit

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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 20 sessions on Google Cloud Platform, G Suite, and more.

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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.

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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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MEETUP - Our first Kafka Meetup in Bangkok with a guest speaker from Confluent

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7:00pm: Doors open
7:00pm - 7:30pm: Pizza, Drinks and Networking
7:30pm - 8:15pm: Matt Howlett, Confluent
8:15pm - 9:00pm: Peerapat Asoktummarungsri

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

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

Speaker: Peerapat Asoktummarungsri, Head of Product at BeID CorporationSession: Apache Kafka and Kubernetes
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W-JAX

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

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

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

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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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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

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

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

Détails de l'événement

Confluent Streaming Workshop

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

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AWS re:INVENT

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

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

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UKOUG Conference

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

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

Speaker: Ben Stopford, Technologist, Office of the CTO, ConfluentSession: Keynote
Event Details

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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