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Dok Talks #124 - Intro to Druid on Kubernetes // Sergio Ferragut

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Manage episode 324980782 series 2865115
内容由Data on Kubernetes Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Data on Kubernetes Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

https://go.dok.community/slack
https://dok.community

ABSTRACT OF THE TALK

This talk will provide a high-level overview of Kubernetes, Helm charts and how they can be used to deploy Apache Druid clusters of any size.

We'll review how Kubernetes functionality enables resilience and self-healing, historical tiers through node group affinity, middle manager scaling through Kubernetes autoscaling to optimize ingestion capacity and some of the gotchas along the way.

BIO

Sergio Ferragut is a database veteran turned Developer Advocate at Imply. His experience includes 16 years at Teradata in professional services and engineering roles.

He has direct experience in building analytics applications spanning the retail, supply chain, pricing optimization and IoT spaces.

Sergio has worked at multiple technology start-ups including APL and Splice Machine where he helped guide product design and field messaging.

  continue reading

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Artwork
icon分享
 
Manage episode 324980782 series 2865115
内容由Data on Kubernetes Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Data on Kubernetes Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

https://go.dok.community/slack
https://dok.community

ABSTRACT OF THE TALK

This talk will provide a high-level overview of Kubernetes, Helm charts and how they can be used to deploy Apache Druid clusters of any size.

We'll review how Kubernetes functionality enables resilience and self-healing, historical tiers through node group affinity, middle manager scaling through Kubernetes autoscaling to optimize ingestion capacity and some of the gotchas along the way.

BIO

Sergio Ferragut is a database veteran turned Developer Advocate at Imply. His experience includes 16 years at Teradata in professional services and engineering roles.

He has direct experience in building analytics applications spanning the retail, supply chain, pricing optimization and IoT spaces.

Sergio has worked at multiple technology start-ups including APL and Splice Machine where he helped guide product design and field messaging.

  continue reading

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