IN PERSON! Apache Kafka® Meetup Vancouver- November 2023

Hello everyone! Join us for an IN PERSON Apache Kafka® meetup on November 7th from 5:30 pm, hosted by Collabware in Vancouver!

**VERY IMPORTANT**
Please complete the form below for entry to the venue site.
https://docs.google.com/forms/d/e/1FAIpQLSePGofVDl3YzCC4am_DmZQtvT8AslFoohW15gYzM-Nd1RewOQ/viewform

📍 Venue:
Collabware, 1188 W Georgia St #1050, Vancouver, BC V6E 4A2

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🗓 Agenda:

• 5:30pm - 6:00pm: Doors Open, Networking, Pizza and Drinks
• 6:00pm - 6:50pm: Danica Fine, Staff Developer Advocate, Confluent
• 6:50pm - 7:30pm: Gang Tao, Co-founder & CTO, Timeplus
• 7:30pm - 8:00pm: More networking, Q&A

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💡 Speaker:
Danica Fine, Staff Developer Advocate, Confluent

Bio:
Danica Fine is a Senior Developer Advocate at Confluent where she helps others get the most out of their event-driven pipelines. Prior to this role, she served as a software engineer on a streaming infrastructure team at Bloomberg where she predominantly worked on Kafka Streams- and Kafka Connect-based projects. Her expertise in streaming systems has taken her to a number of conferences and speaking engagements over the years, giving her the chance to express her love of Kafka to anyone who will listen. Danica is committed to increasing diversity in the technical community and actively serves as a mentor to a number of women in tech. She can be found on Twitter @TheDanicaFine.

Talk:
A Kafka Client’s Request: Or, There and Back Again

Abstract:
Do you know how your data moves into your Apache Kafka® instance? From the programmer’s point of view, it’s relatively simple. But under the hood, writing to Kafka is a complex process with a fascinating life cycle that’s worth understanding.
Anytime you call producer.send(), those calls are translated into low-level requests which are sent along to the brokers for processing. In this session, we’ll dive into the world of Kafka producers to follow a request from an initial call to send(), all the way to disk, and back to the client via the broker’s final response. Along the way, we’ll explore a number of client and broker configurations that affect how these requests are handled and discuss the metrics that you can monitor to help you to keep track of every stage of the request life cycle.
By the end of this session, you’ll know the ins and outs of the read and write requests that your Kafka clients make, making your next debugging or performance analysis session a breeze.

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💡 Speaker:
Gang Tao, Co-founder & CTO, Timeplus

Talk:
How to Leverage Kafka/Confluent Cloud to Monitor Timeplus

Abstract:
In this session, we will delve into the challenges and solutions of cloud observability, focusing on the use of Confluent Cloud and Timeplus.

We will explore how software architecture evolution has changed the goals of modern observability, creating new challenges such as real-time response, handling massive data from various sources, and maintaining a single pane of glass for monitoring. We will discuss how Timeplus, a cloud-native, real-time streaming data analytics platform, addresses these challenges by leveraging Kafka as the real-time event source for logs and metrics. The session will also cover how Timeplus uses its own streaming query, views, dashboards, and alerts to solve observability challenges. We will also touch on the concept of schema-on-read, the use of grok function, and the creation of views and materialized views.
Whether you're a data engineer, software architect, or just interested in cloud observability, this session will provide valuable insights.

Bio:
Gang is the Cofounder and CTO of Timeplus, he has over 20 years experience in software development, and is a recognized expert of AI, BI, Big Data and Data Visualization. He was the principal engineer of Splunk's ML and Data platform. He's also a die-hard fan of AC Milan.

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DISCLAIMER
BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.
As the classroom is a mask-on setting, please be reminded that masks should still be worn at all times unless actively eating or drinking

NOTE: We are unable to cater for any attendees under the age of 18.