Call for Speakers

in 82 days

StrimziCon 2024

event date

22 May 2024

location

Online


Welcome to the StrimziCon!

StrimziCon is an event for developers, DevOps engineers, and solution architects who want to learn about Strimzi and event streaming. Strimzi is an operator for running Apache Kafka on Kubernetes. This event will bring together the Strimzi community, and you will learn from experts and users about use cases, best practices, and their experience using Strimzi in their organizations. If you are working with cloud-native technologies, and you are looking for how to deal with data in motion in a cloud-based environment, don’t miss the opportunity.

open, 10 days left
Call for Speakers
Call opens at 12:00 AM

29 Jan 2024

Call closes at 11:59 PM

10 Mar 2024

CFP closes in W. Europe Standard Time (UTC+01:00) timezone.
Closing time in your timezone () is .

Sessions are 40 minutes long (including Q&A at the end).

Submit your proposals with following topics.

TOPICS

  • Core Strimzi: Deep dive into a specific component or feature.
  • Case Studies: Provide an overview of a use case or review of a real life Strimzi deployment, highlighting difficulties, lessons learned, and key takeaways.
  • Integrations: Explore how Strimzi integrates with other CNCF projects, such as OpenTelemetry, KEDA and more.
  • Operations: Share insights into what it takes to run Strimzi and maintain cluster in production.

DATES TO REMEMBER

  • CFP Close: Sunday March 10 - 11:59 pm CET / W. Europe Standard Time (UTC+01:00)
  • CFP Notifications: Monday, April 8
  • Schedule Announced: Wednesday, April 10
  • Slides Due Date: Friday, May 10
  • Event Date: Wednesday, May 22 | CET Afternoon

CODE OF CONDUCT

By submitting, you agree to The CNCF Code of Conduct.

COMMITMENT TO INCLUSIVITY

Please review The Linux Foundation's Inclusive Speaker Orientation and Inclusive Language Initiative.


Login with your preferred account


If you haven't logged in before, you'll be able to register.

Using social networks to login is faster and simpler, but if you prefer username/password account - use Classic Login.