Artwork

İçerik Data on Kubernetes Community tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Data on Kubernetes Community veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
Player FM - Podcast Uygulaması
Player FM uygulamasıyla çevrimdışı Player FM !

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

1:02:10
 
Paylaş
 

Manage episode 305833203 series 2865115
İçerik Data on Kubernetes Community tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Data on Kubernetes Community veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

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.

  continue reading

243 bölüm

Artwork
iconPaylaş
 
Manage episode 305833203 series 2865115
İçerik Data on Kubernetes Community tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Data on Kubernetes Community veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

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.

  continue reading

243 bölüm

Tüm bölümler

×
 
Loading …

Player FM'e Hoş Geldiniz!

Player FM şu anda sizin için internetteki yüksek kalitedeki podcast'leri arıyor. En iyi podcast uygulaması ve Android, iPhone ve internet üzerinde çalışıyor. Aboneliklerinizi cihazlar arasında eş zamanlamak için üye olun.

 

Hızlı referans rehberi