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Maximum number of attendees in venue space: 40 ppl

Join us for this special summer event with the opportunity to learn about how Kafka fits into the analytics space. Please note there are only 40 spaces and entry will be strictly limited to first registered.

👮🏼 Please bring government issued ID to the event as this will be checked by security

🚨 Doors will close at 7:00pm due to security reasons, you will not be able to enter after this time.

Date and Time: 🗓️ Thursday August 8th, ⏰ 18:00 - 20:00 🕘

Venue: Confluent Europe Ltd, 262 High Holborn Floor 1 London WC1V 7EJ · London

Attending Brands: Imply, Confluent & OSO

Networking: Pizza + Beer at the start

Schedule: 18:00: Welcome/doors Open, Food, drinks, networking 18:30 - 19:15: “Simplifying Apache Kafka® : Easy Configurations for Immediate Impact” Bethan Hughes, Confluent & Niamh Thornbury, Confluent 19:15 - 20:00pm: “Real-time plane-spotting”, Peter Marshall and Hugh Evans, Imply 20:00- 20:30pm: Additional Q&A & Networking

🎙️ \~Talk 1\~ Talk Title: Simplifying Apache Kafka® : Easy Configurations for Immediate Impact

Summary: In the realm of event-driven architecture and real-time data processing, Apache Kafka® stands at the forefront in providing an efficient and scalable solution for handling large volumes of data streams in real-time. However, developers often find interfacing with Apache Kafka® producers and consumers to be a labyrinth of complexities.

Are you wasting valuable time deciphering the configuration required for your Apache Kafka® producers and consumers? Whether you require high throughput, low latency, or simply want to start with the fundamentals, our preconfigured profiles streamline and optimize the configuration process to just a few lines of code. Should you require further customization, rest assured that we provide options to modify our configurations according to your specific requirements.

In this session we will cover:

• A whistle stop tour of our high-throughput, low-latency and default producer and consumer profiles.
• How to implement these three profiles to create low code producers and consumers.
• Demo of our high-throughput producer and low-latency consumer profiles in action.
• If you want to boost your productivity and reduce the developer learning curve then this is the talk for you. Getting your producer and consumer Apache Kafka® applications up and running will never be easier than this!

🗣️ Speaker 1: Bethan Hughes is an Partner Innovation Engineer at Confluent in the Partner Applied Solutions Integrations team. She has experience building and validating real-time data streaming pipelines which connect to Confluent Cloud and Confluent Platform.

🗣️ Speaker 1: Niamh is a Customer Innovation Engineer who joined Confluent in October 2021. Niamh enjoys spending time with her dog Flo, running and going to the gym.

🎙️ \~Talk 2\~ Talk Title: Real-time plane-spotting

Summary: Hidden from our eyes, aircraft in our skies are constantly transmitting data. Join us as we use some simple tech and the power of open source to fly through this data set. In this talk, see a Raspberry Pi, Apache Kafka, Apache Druid, and Grafana coming together for real-time data production, transport, OLAP, and interactive visualisation.

🗣️ Speaker 1: Peter Marshall is an award-winning speaker who leads developer relations at Imply, having worked with adopters and users of Apache Druid for five years. Peter has worked in enterprise architecture in both public and private sector for over 20 years. He has a BA in Theology and Computer Studies from the University of Birmingham.

🗣️ Speaker 2: Hugh Evans is a Developer Advocate at Imply, helping members of the Apache Druid community and bringing them together.

DISCLAIMER

* WE DO NOT CATER TO THOSE UNDER THE AGE OF 18.

*THIS IS AN OFFICE SPACE, PLEASE ENSURE TO CLEAN UP AFTER YOURSELVES AND TAKE CARE OF THIS SPACE. RESPECT THE SPACE AND THOSE IN IT. THIS INCLUDES: NO PHOTOS OF THE OFFICE, NO VANDALISM, GOING OUTSIDE OF THE MEETUP AREA ETC.

Join us for this special summer event with the opportunity to learn about how Kafka fits into the analytics space. Please note there are only 70 spaces and entry will be strictly limited to first registered.

Date and Time: 🗓️ Tuesday 23rd July, ⏰ 18:00 - 20:00 🕘

Venue: Confluent Europe Ltd, 262 High Holborn Floor 1 London WC1V 7EJ · London

Attending Brands: Imply, Streambased, Confluent & OSO

Networking: Pizza + Beer at the end

Schedule: 18:00: Doors Open, Food, drinks, networking 18:30 - 18:35: Welcome and introductions 18:35 - 19:00: “Kafka - No Rocks, Please”, Roman Kolesnev, Confluent 19:05 - 19:35pm: “Real-time plane-spotting”, Peter Marshall and Hugh Evans, Imply 19:35 - 20:00:“Indexing Kafka - Why point look ups matter and how we achieve them”, Tom Scott, Streambased

🎙️ \~Talk 1\~ Talk Title: Kafka - No Rocks, Please!

Summary: Using Kafka Streams With Alternative State StoresA popular data transformation library in the Apache Kafka® world - Kafka Streams - is bundled with a high-performance key/value store - RocksDB - with many advantages regarding near real-time, high throughput, and low latency processing.

But what if RocksDB key/value store semantics are just not enough? What if the use case requires features of other storage engines - document indexing, graph processing, or simply secondary indexes? Can we employ other embeddable storage engines or extend RocksDB-based state stores?Luckily, Kafka Streams supports custom state store implementations through a pluggable interface. Even better - we can delegate durability, data sharding, and failure recovery to Kafka Streams runtime. Of course, there are some associated restrictions as well. That, and more, is what we will explore in this session.

🗣️ Speaker: Roman Kolesnev is a Staff Customer Innovation Engineer at Confluent in the Customer Solutions & Innovation Division Labs team. His experience includes building business critical event streaming applications and distributed systems in the financial and technology sectors.

🎙️ \~Talk 2\~ Talk Title: Real-time plane-spotting

Summary: Hidden from our eyes, aircraft in our skies are constantly transmitting data. Join us as we use some simple tech and the power of open source to fly through this data set. In this talk, see a Raspberry Pi, Apache Kafka, Apache Druid, and Grafana coming together for real-time data production, transport, OLAP, and interactive visualisation.

🗣️ Speaker 1: Peter Marshall is an award-winning speaker who leads developer relations at Imply, having worked with adopters and users of Apache Druid for five years. Peter has worked in enterprise architecture in both public and private sector for over 20 years. He has a BA in Theology and Computer Studies from the University of Birmingham.

🗣️ Speaker 2: Hugh Evans is a Developer Advocate at Imply, helping members of the Apache Druid community and bringing them together.

🎙️ \~Talk 3\~ Talk Title: Indexing Kafka - Why point look ups matter and how we achieve them

Summary: Have you ever wanted to know the count of messages on a topic? How about the count of messages with a particular property? Ever spent long hours searching for that poison pill message that killed your applications? All of these cases require looking at historical data in Kafka, something it is traditionally terrible at.

Join us in this talk as we explore historical Kafka data interactively and discuss the technologies that can make this possible.

🗣️ Speaker: Tom Scott is the founder of Streambased, Tom is building multi tenant, on-prem and cloud Kafka services to attack common Kafka pain points and break down barriers to starting your data journey.

TBA

TBA

Hidden from our eyes, aircraft in our skies are constantly transmitting data. Join us as we use some simple tech and the power of open source to fly through this data set. In this talk, see a Raspberry Pi, Apache Kafka, Apache Druid, and Grafana coming together for real-time data production, transport, OLAP, and interactive visualisation.

Hidden from our eyes, aircraft in our skies are constantly transmitting data. Join us as we use some simple tech and the power of open source to fly through this data set. In this talk, see a Raspberry Pi, Apache Kafka, Apache Druid, and Grafana coming together for real-time data production, transport, OLAP, and interactive visualisation.