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DoK Talks #91- Leveraging Druid Operator to manage Apache Druid on Kubernetes // Adheip Singh

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Manage episode 303549049 series 2865115
Inhoud geleverd door Data on Kubernetes Community. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Data on Kubernetes Community of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

https://go.dok.community/slack
https://dok.community/
ABSTRACT OF THE TALK
This talk will introduce Druid-Operator (https://github.com/druid-io/druid-operator) and how Kubernetes and Operator framework can be used to write an operator that enables provisioning, management, and scaling of a complex cluster of Apache Druid to 1000s of nodes.
This talk will cover why Kubernetes and the operator framework is a perfect fit for managing a complex stateful application. Learnings and pitfalls faced while writing the Druid-Operator and the special considerations to be taken into account when managing and scaling a stateful application.
BIO
Adheip Singh is a software engineer at Rill Data Inc. He is maintainer of druid-operator and kubectl-druid-plugin. Active contributor the operator ecosystem.
TALK TAKEAWAYS
1.This session will help anyone looking for running Apache Druid on Kubernetes
2.It will help understand how someone can write operators to simplify the management of complex applications
3.Special considerations to take into account when managing and scaling a stateful application.
4.How to scope an operator within multiple namespaces
5.Druid operator features and how it scales and manages the underlying statefulsets and deployments.

  continue reading

243 afleveringen

Artwork
iconDelen
 
Manage episode 303549049 series 2865115
Inhoud geleverd door Data on Kubernetes Community. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Data on Kubernetes Community of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

https://go.dok.community/slack
https://dok.community/
ABSTRACT OF THE TALK
This talk will introduce Druid-Operator (https://github.com/druid-io/druid-operator) and how Kubernetes and Operator framework can be used to write an operator that enables provisioning, management, and scaling of a complex cluster of Apache Druid to 1000s of nodes.
This talk will cover why Kubernetes and the operator framework is a perfect fit for managing a complex stateful application. Learnings and pitfalls faced while writing the Druid-Operator and the special considerations to be taken into account when managing and scaling a stateful application.
BIO
Adheip Singh is a software engineer at Rill Data Inc. He is maintainer of druid-operator and kubectl-druid-plugin. Active contributor the operator ecosystem.
TALK TAKEAWAYS
1.This session will help anyone looking for running Apache Druid on Kubernetes
2.It will help understand how someone can write operators to simplify the management of complex applications
3.Special considerations to take into account when managing and scaling a stateful application.
4.How to scope an operator within multiple namespaces
5.Druid operator features and how it scales and manages the underlying statefulsets and deployments.

  continue reading

243 afleveringen

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