PV TrashCan - Protection against accidental deletion of PVs or Namespaces (DoK Day EU 2022) // Veda Talakad, Aditya Kulkarni & Aditya Dani

Data on Kubernetes Community

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לפני 3 שנים 11:07

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https://go.dok.community/slack

https://dok.community/

From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)

Accidental PVC delete or namespace delete can cause the Persistent Volume to get deleted. Such volumes lose their data and the stateful applications lose their state. By the use of Persistent Volume TrashCan, users can get a grace period to undo such unintended delete operation.

The deleted Persistent Volumes are staged for delayed deletes. They continue to live even after being deleted from k8 perspective, for a configurable time(retention period) and based on the system’s usage. The storage class of the PVC can dictate if they need to be staged for a delayed delete. StorageClass can also allow for configurable retention period.

To recover a deleted PersistentVolume, users can create a new namespace with the same name and reapply the original PVC spec. The PVC will reference a special StorageClass to indicate that the new PersistentVolume needs to be restored from the TrashCan. This will allow the application to restart with the right state and data.

This talk will showcase how to overcome one of the admin’s pain point seen in field involving accidental deletions of PVCs by using advanced storage management solutions in Kubernetes.

Veda Talakad is a Software professional with BS in electronics and communications mostly working in storage domain. Some of the professional areas of interests include scalability in distributed environment and cloud-native technologies for data management,

Aditya Kulkarni: I have 10 years of experiance in Enterprise Data management. I have worked on All Flash Array at Netapp from the device driver layer to WAFL Filesystem. Next, I worked at Portworx where I developed and enhanced the number one data platform for Kubernetes. Then I moved to Pure Storage as part of Portworx acquisition.

Aditya Dani is an architect at Portworx by PureStorage, that enables users to run any cloud-native data service, in any cloud, using any Kubernetes platform. He is one of the contributors to the open source project Stork that provides storage awareness to the Kubernetes scheduler. Prior to Portworx, Aditya worked for Amazon on their Music Recommendations Engine. He enjoys working on distributed systems and loves programming in Go.

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#Tech #Demetrios

PV TrashCan - Protection against accidental deletion of PVs or Namespaces (DoK Day EU 2022) // Veda Talakad, Aditya Kulkarni & Aditya Dani

Data on Kubernetes Community

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published לפני 3 שנים

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M4A•בית הפרקים

https://go.dok.community/slack

https://dok.community/

From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)

This talk will showcase how to overcome one of the admin’s pain point seen in field involving accidental deletions of PVCs by using advanced storage management solutions in Kubernetes.

243 פרקים

#Tech #Demetrios

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לפני 3 years20:48

20:48

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY) Abstract We develop systems to digitize the sheet metal industry with the belief that they should cooperate with each other in an open way. We are convinced that the future lies in creating a software ecosystem that interconnects all levels of the company and even manages to communicate with supplier and customer systems, making for more agile management throughout the entire value chain. One of our newer projects is providing a multi-tenant cloud service to our clients. The chosen database for the service we are developing is MongoDB. After testing with docker containers on virtual machines, we decided to finally host the service in Kubernetes because we wanted something to be able to scale at large for our clients being a service that will be consumed by a multitude of our clients, so to the database in order to reduce latency.…

Data on Kubernetes Community

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How we built our Big Data Stack (almost) entirely on top of Kubernetes // Neylson Crepalde (From DoK Day NA 2022) 16:00

לפני 3 years16:00

16:00

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY) Abstract Working with Terabytes of data is a major challenge for organizations both in terms of architecture and cost. In recent years, a new paradigm has emerged in the world of Big Data, that is, implementing the entire architecture for processing massive data from a microservices approach. This architecture proved to be scalable, efficient, with excellent performance, failsafe, portable between different cloud providers and at a lower cost than conventional architectures. In this talk, I will present how my team managed to implement this architecture based on Kubernetes and what were the main gains we had with the innovation.…

Data on Kubernetes Community

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Dok Talks #153 - CRD Panel // Eyar Zilberman & Álvaro Hernández 58:05

לפני 3 years58:05

58:05

https://go.dok.community/slack https://dok.community We are going to speak about CRDs, and discuss considering them as higher level entities that we normally consider them. CRDs normally are kind of a byproduct of an operator. But in reality, they can be considered as the user-facing API of the operator surface. And as such, we would like to introduce conversations about even standardizing some of them, or creating "specifications" out of some CRDs. Take this for example: there are some CRDs that could be, potentially, common across multiple operators. Think of a CRD to represent an S3 (or any other storage object) bucket. For operators that store data in object stores, each and every one of them are creating their own versions. But shouldn't we have some "standardized" `ObjectStorage` CRD, without a controller, that all could use? We'll be joined by John Sanda of DataStax who works on the K8ssandra project, Alvaro Hernandez who is the CEO of Ongres and Postgres superhero, and Eyar Zilberman Co-Founder and Chief Product Officer at Datree.…

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PV TrashCan - Protection against accidental deletion of PVs or Namespaces (DoK Day EU 2022) // Veda Talakad, Aditya Kulkarni & Aditya Dani