DoK Talks #97- Learn about Developing a Multicluster Operator with K8ssandra Operator // John Sanda

DoK Talks #97- Learn about Developing a Multicluster Operator with K8ssandra Operator // John Sanda

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

ABSTRACT OF THE TALK

Cassandra is a highly scalable database with an architecture that makes it well suited for multi-region workloads. A Kubernetes cluster often spans across multiple zones within a single region. Multi-region Kubernetes clusters are less common though due to the challenges that they present. This has led to a growing number of multi-cluster solutions. In this presentation John Sanda introduces K8ssandra Operator. It is designed from the ground up for multi-cluster deployments. John will discuss how to reconcile objects across multiple clusters, how to manage secrets, pitfalls to avoid, and testing strategies.

BIO

John Sanda is a DataStax engineer working on the K8ssandra project. He is passionate about Cassandra and Kubernetes and loves being involved in open source. Prior to joining DataStax John worked for a year at The Last Pickle as an Apache Cassandra consultant. Prior to that, he spent a number of years at Red Hat as an engineer. It was during that time John got involved with Cassandra when he redesigned a metrics data store and built it with Cassandra in place of an RDBMS. He had his first initial exposure to Cassandra and Kubernetes when the metrics storage engine was later used in OpenShift.

Episoder(243)

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Dok Talks #150 - Building a Simple Postgres Async Streaming Cluster // Julian Fischer

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DoK Talks #149 - Overcoming challenges with protecting and migrating data in multi-cloud K8s environments // Sebastian Glab & Martin Phan

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16 Sep 202247min

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5 Sep 20221h

Dok Talks #146 - OpenFeature - Making feature flags a commodity // Oleg Nenashev

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26 Aug 20221h 1min

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DoK Talks #144 - We will Dok You! - The journey to adopt stateful workloads on k8s // Guy Menahem

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DoK Talks #142 - Kubernetes Cluster Upgrade Strategies and Data: Best Practices for your Stateful Workload // Peter Schuurman

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