Collabware is excited to support the BC Tech community by hosting a Apache Kafka® meetup on Tuesday, November 7th at 5:30 pm! This event will take place at our Vancouver headquarters at 1188 W Georgia St #1050, Vancouver, BC V6E 4A2.
Join us for valuable sessions on Kafka client writeup tips and cloud observability, as well as networking and pizza!
Presentations
Session Title:
A Kafka Client’s Request: Or, There and Back Again
Session Description:
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.
Speaker:
Danica Fine, Staff Developer Advocate, Confluent
Session Title:
How to Leverage Kafka/Confluent Cloud to Monitor Timeplus
Session Description:
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.
Speaker:
Gang Tao, Co-founder & CTO, Timeplus
See full event agenda.
About Apache Kafka
Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.