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תוכן מסופק על ידי Data on Kubernetes Community. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Data on Kubernetes Community או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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#6 DoK community: Operators, operators, operators… operators // Amit Gupta

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Manage episode 283453647 series 2865115
תוכן מסופק על ידי Data on Kubernetes Community. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Data on Kubernetes Community או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Data on Kubernetes Community #6: Operators, operators, operators….Kubernetes operators! With Amit Gupta, Group Product Manager, at Confluent.

Key takeaways:
Kubernetes Operators represent a great opportunity for the data community to solve for the complexities of managing data products for their customers in a way that standardizes UX and integration points -- historically the most powerful solutions had to be niche and highly customized.

Abstract:
Evolution of this space and how we’ve come to operators
Managed services vs. running your own
Are people succeeding or stumbling with K8s
Common challenges for data products on K8s (interested in the community conversation here, what are some common challenges and solutions people are seeing)

Bio:
Amit is a Group Product Manager at Confluent, helping to bring the cloud-native experience to Kafka and event streaming. He’s passionate about cloud, container orchestration, infrastructure automation, and wants to see the work of choosing, deploying, and successfully leveraging powerful distributed systems become a piece of cake for everyone in IT.

In the past, Amit has worked as Director of Product Management for Platform at Pivotal, and as a Software Engineer working on cloud orchestration technology (think Kubernetes but for VMs) and container scheduling (think Kubernetes, pre-Kubernetes). He has a Master’s degree in mathematics from the University of California, Berkeley. He loves soccer, camping, and coffee.

▬▬▬▬▬▬ Connect with us 👋 ▬▬▬▬▬▬

Join our slack:
https://join.slack.com/t/dokcommunity/shared_invite/zt-g3ui5r0g-jDKz5dhh2W1ayElqwKYYAg
Follow us on Twitter: @dokcommunity

Connect with Demetrios on LinkedIn:
https://www.linkedin.com/in/dpbrinkm/

Follow Amit on Twitter:
https://twitter.com/amitkgupta84

Connect with Amit on Linkedin:
https://www.linkedin.com/in/amitkgupta84/

▬▬▬▬▬▬ Supporters of the DoKc ▬▬▬▬▬▬

This meetup is sponsored by MayaData, which helped start the DOK.community and remains an active supporter. MayaData sponsors two Cloud Native Computing Foundation (CNCF) projects, OpenEBS - the leading open-source container attached storage solution - and Litmus - the leading Kubernetes native chaos engineering project, which was recently donated to the CNCF as a Sandbox project. As of June 2020, MayaData is the sixth-largest contributor to CNCF projects. Well-known users of MayaData products include the CNCF itself, Bloomberg, Comcast, Arista, Orange, Intuit, and others. Check out more info at https://mayadata.io/

  continue reading

243 פרקים

Artwork
iconשתפו
 
Manage episode 283453647 series 2865115
תוכן מסופק על ידי Data on Kubernetes Community. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Data on Kubernetes Community או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Data on Kubernetes Community #6: Operators, operators, operators….Kubernetes operators! With Amit Gupta, Group Product Manager, at Confluent.

Key takeaways:
Kubernetes Operators represent a great opportunity for the data community to solve for the complexities of managing data products for their customers in a way that standardizes UX and integration points -- historically the most powerful solutions had to be niche and highly customized.

Abstract:
Evolution of this space and how we’ve come to operators
Managed services vs. running your own
Are people succeeding or stumbling with K8s
Common challenges for data products on K8s (interested in the community conversation here, what are some common challenges and solutions people are seeing)

Bio:
Amit is a Group Product Manager at Confluent, helping to bring the cloud-native experience to Kafka and event streaming. He’s passionate about cloud, container orchestration, infrastructure automation, and wants to see the work of choosing, deploying, and successfully leveraging powerful distributed systems become a piece of cake for everyone in IT.

In the past, Amit has worked as Director of Product Management for Platform at Pivotal, and as a Software Engineer working on cloud orchestration technology (think Kubernetes but for VMs) and container scheduling (think Kubernetes, pre-Kubernetes). He has a Master’s degree in mathematics from the University of California, Berkeley. He loves soccer, camping, and coffee.

▬▬▬▬▬▬ Connect with us 👋 ▬▬▬▬▬▬

Join our slack:
https://join.slack.com/t/dokcommunity/shared_invite/zt-g3ui5r0g-jDKz5dhh2W1ayElqwKYYAg
Follow us on Twitter: @dokcommunity

Connect with Demetrios on LinkedIn:
https://www.linkedin.com/in/dpbrinkm/

Follow Amit on Twitter:
https://twitter.com/amitkgupta84

Connect with Amit on Linkedin:
https://www.linkedin.com/in/amitkgupta84/

▬▬▬▬▬▬ Supporters of the DoKc ▬▬▬▬▬▬

This meetup is sponsored by MayaData, which helped start the DOK.community and remains an active supporter. MayaData sponsors two Cloud Native Computing Foundation (CNCF) projects, OpenEBS - the leading open-source container attached storage solution - and Litmus - the leading Kubernetes native chaos engineering project, which was recently donated to the CNCF as a Sandbox project. As of June 2020, MayaData is the sixth-largest contributor to CNCF projects. Well-known users of MayaData products include the CNCF itself, Bloomberg, Comcast, Arista, Orange, Intuit, and others. Check out more info at https://mayadata.io/

  continue reading

243 פרקים

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