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Travis Jeffery from Confluent & Elizabeth Giles from PagerDuty speak Kafka

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Alice R.
Travis Jeffery from Confluent & Elizabeth Giles from PagerDuty speak Kafka

Details

Join us for an Apache Kafka meetup on June 14th from 6:30pm - 8:30pm, hosted by Pager Duty in Toronto. The address, agenda and speaker information can be found below. See you there!

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Agenda:

6:30pm: Doors open
6:30pm - 7:00pm: Pizza, Drinks and Networking
7:00pm - 7:30pm: Travis Jeffery, Confluent
7:30pm - 8:00pm - Elizabeth Giles, PagerDuty
8:00pm - 8:30pm - Additional Q&A & Networking

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Speaker:
Travis Jeffery, Confluent

Bio:
Travis is a software maker who’s worked at Basecamp (formerly 37signals), Segment, and now Confluent. He’s an open source hacker having created/maintained projects such as Jocko, Timecop, and Mocha. He lives in Toronto. You can find him online at https://twitter.com/travisjeffery.

Title:
Building a Kafka as a Service on Kafka

Description:
Travis Jeffery walks through how the team builds Confluent Cloud
on Kafka and Kubernetes, how we support multiple clouds and make
it easy to support new regions with Terraform, and how we build our
services with Go and gRPC.

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Speaker:
Elizabeth Giles, PagerDuty

Bio:
Elizabeth is Software Engineer at PagerDuty, where she works on a team using Kafka, Scala, and Elixir to ingest and process events sent to us by customers and their monitoring tools.

Title:
Lightweight and Fault-tolerant: Using compacted topics as a source of truth

Abstract:
When many people think about using Kafka, they think about simple message queuing. However it is also a great choice for other purposes in a lot of applications, including as a data store. The option to configure log compaction on a topic is one of the features that makes using it for storage efficient, by ensuring that up-to-date records for each key are available and outdated records are removed. In this talk, I will cover an introduction to compacted topics, their features, quirks, and usage, as well as discuss how PagerDuty is using them as a source of truth for event ingestion throttling configuration.

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Don't forget to join our Community Slack Team (https://launchpass.com/confluentcommunity) !

If you would like to speak or host our next event please let us know! community@confluent.io

NOTE: We are unable to cater for any attendees under the age of 18. Please do not sign up for this event if you are under 18.

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Toronto Apache Kafka® Meetup by Confluent
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Pager Duty
260 Queen St W #300, M5V 1Z8 · Toronto, ON