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Flink Jobs Deployment On Kubernetes By Piyush Rana

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Sean G. and 2 others
Flink Jobs Deployment On Kubernetes By Piyush Rana

Details

Hi Scalators,

I'd like to present a data engineering flavour talk about Flink on Kubernetes from Piyush Rana.

Description:

Apache Flink is an open-source stream-processing framework where the core of Flink is a distributed streaming dataflow engine written in Java and Scala.

Kubernetes is no. 1 growing and most used container-orchestration system for automating application deployment, scaling, and management. When it comes to deploying the flink jobs on production there are various strategies one needs to analyze and configuration with which one needs to play on Kubernetes.

In this talk, we will talk about those strategies, their pros, and cons, and will have the hands-on session or interactive demo at the same time.

Speaker Bio:

Piyush Rana is a Lead Scala Consultant at Knoldus Inc, Canada. He's a LightBend Certified Reactive Architect and is a functional programming enthusiast with experience in Product Development/Consulting, Project Management/Agile/Scrum across multiple domains in Scala, Java, and Big Data.

He is also an author of a book called “Programming In Scala - A Practical Step by Step Approach for Functional Programming”.
One can read more about him at https://blog.knoldus.com/author/bigtechnologies/ and can read blogs published by him, and can connect him at Linked in - https://www.linkedin.com/in/piyush-rana-70027888/

Submitting your own talk:

If you're interested in giving a talk about Scala, Scala libraries, Data engineering, or JVM topics please contact a Scala Toronto organizer. All experience levels are welcome.

Scala Toronto Slack:

I would also like to invite people to join our slack instance to chat with organizers, speakers, other members, and even recruiters! Click the following link to sign up.

https://join.slack.com/t/scala-toronto/shared_invite/enQtNDM3Mzc2MDMyNjYyLTBkYWVkY2E4MTczZDg2YWE0NjljYjE1M2QyZjc4Y2U3N2M0ZDg4ZTA4ZjMwYTY4NzI5M2Q1NzA4ZjQ1OGE5Yjc

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