Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

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https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK Nebula Graph Demystified Graph on K8s Know-How of Graph Database BIO Open Source believer, builder, singer and Graph Magic advocate(to scale the magic to help wizards) https://siwei.io/en/about/ KEY TAKE-AWAYS FROM THE TALK Why& How graph db would help real life problems Arch and Design the Nebula Graph Database and the Intro. of the Project Implementation of the Nebula K8s operator Graph Database Know How in actions on: Building an intelligent Voice Robot MetaData governance and Lineage Building a corporation shareholding relations system

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

Dok Talks #116 - Nebula Graph: Open Source Distributed Graph Database

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Link: https://youtu.be/cegd3Exg05w https://go.dok.community/slack https://dok.community/ Gabriele Bartolini - Vice President/CTO of Cloud Native and Kubernetes, EDB ABSTRACT OF THE TALK Imagine this: you have a virtual infrastructure based on Kubernetes, made up of virtual data centers, possibly spread across multiple Kubernetes clusters and regions. Your infrastructure could even be hosted on premises or on different cloud service providers. Infrastructure as Code is a requirement. You’ve been tasked to run Postgres databases, alongside your applications. The good news is that you can leverage a fully open source stack with Kubernetes, PostgreSQL and the CloudNativePG operator, and deploy your Postgres database in the same way you deploy applications. Join me in this webinar to discover the key role that you have to make this succeed, starting from day 0 through day 2 operations. I’ll share some examples and best practices for running Postgres databases in Kubernetes, before peeking at the new features we are developing for the months to come.

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What we've learned from running a PostgreSQL managed service on Kubernetes

What we've learned from running a PostgreSQL managed service on Kubernetes

Link: https://youtu.be/IoEJvsl1ZqM https://go.dok.community/slack https://dok.community/ From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE) “Zero downtime” and “always-on” are illusions. All systems fail sooner or later, whether it’s a regional e-commerce website or a major cloud region hosting thousands of applications. That’s why, instead of chasing these illusions, it’s worth focusing on the nines of availability. Based on true stories, this session walks you through modern data availability and reliability patterns used by architects whose applications withstood major cloud outages. With the focus on the data storage layer and Kubernetes, you’ll learn: * How to architect the data layer in Kubernetes with the server, zone, and region-level resiliency in mind. * How to find a compromise between latency and availability for multi-region deployments. * How to ensure the data layer remains reliable (i.e., always returns expected data) even during a major incident. ----- Denis Magda has spent half of his career working on distributed systems, applications, and databases. His experience spans from the development of distributed database engines and high-performance applications to training and education on the topic of distributed and cloud computing. Presently, Denis runs the Developer Relations team at Yugabyte and serves a PMC Member for Apache Ignite. He started his professional career at Sun Microsystems and Oracle, where he led one of the Java development groups and worked on technology evangelism efforts.

Weathering The Cloud Storm: Modern Data Management Patterns for Reliability a...

Weathering The Cloud Storm: Modern Data Management Patterns for Reliability a...

Weathering The Cloud Storm: Modern Data Management Patterns for Reliability a...

Link: https://youtu.be/C4rlepOPk5o https://go.dok.community/slack https://dok.community/ From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE) Serverless promises to change the way we consume software. It allows us to potentially pay for only that which we use and can help drive down operational costs to the minimal amount of resources necessary. Architecting for serverless requires a unique look at app logic and the way it is deployed. It takes a combination of the logical and physical worlds. An architectural pattern has emerged where we can scale ephemeral compute separate from services that need to persist. We use Kubernetes to deliver exactly this. A “serverless” experience that is driven and enabled by compute pods and storage pods. We also have used our experience running thousands of database clusters on Kubernetes to automate the operational expertise of managing a distributed database. In this talk, we will take a dive deep into the architecture of our application and share: * A definition and outline of the challenges of serverless * How we reworked our logic for a serverless approach * How we use Kubernetes to gain serverless autoscaling ----- Jim is a recovering developer turned evangelist who loves useful, cool, cutting-edge tech. He loves to translate and distill complex concepts into compelling, more simple explanations that broader communities can consume. He is an advocate of the developer and an active participant in several open source communities.

Using Kubernetes to deliver a “serverless” service

Using Kubernetes to deliver a “serverless” service

Using Kubernetes to deliver a “serverless” service

Link: https://youtu.be/J3JiwW5FIAI https://go.dok.community/slack https://dok.community/ From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE) Multiple clusters exist in most Kubernetes environments today, and number of clusters will increase overtime. The reasons for having multiple Kubernetes clusters are many, for example, overcoming scale limits, reducing complexity, geo separation, redundancy and having separate production, staging, and development environments. Once you have multiple K8S clusters, it can be useful to have the ability to easily move or duplicate workloads across these different clusters. Kubernetes does not have a native method to allow migration or duplication of workloads across clusters. Fortunately, there are tools that provide this functionality. In this presentation we will explore the different uses cases for cross cluster migration, and what is involved, and how these migration tools work. We'll cover some popular uses cases, such as, Disaster Recovery, Test/Dev, and performance testing. Migration could entail moving the entire cluster, or individual workloads. The components that need to be moved would include configuration and resources stored in etcd, and persistent data residing on PVCs. We'll cover the uses cases and challenges for migration, and run through an example of using one of these migration tools.

The many uses of Kubernetes cross cluster migration of persistent data

The many uses of Kubernetes cross cluster migration of persistent data

The many uses of Kubernetes cross cluster migration of persistent data

Link: https://youtu.be/2uJvL1J8yz0 https://go.dok.community/slack https://dok.community/ From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE) We know from the first Data on Kubernetes Report that 90% of respondents believe Kubernetes is ready for stateful workloads, but significant challenges remain. The DoK Community continues to grow and build a unique space where people share knowledge and have conversations that are shaping the next decade of data on Kubernetes. Melissa Logan and Sylvain Kalache will discuss the growth of DoK, DoKC, and introduce a new project to help end users on their journey to running data-intensive workloads on Kubernetes more easily and with better control.

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The Data on Kubernetes Landscape

The Data on Kubernetes Landscape

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Run PostgreSQL in Warp Speed Using NVMe/TCP in the Cloud

The Kubernetes Native Database

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ING Data Services hosted on ICHP DoK Amsterdam 2023

ING Data Services hosted on ICHP DoK Amsterdam 2023

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Evaluating Cloud Native Storage Vendors - DoK Talks #147

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What's New in Kubernetes Storage

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The many uses of Kubernetes cross cluster migration of persistent data

The many uses of Kubernetes cross cluster migration of persistent data

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Building a notification campaign might seem easy and it is easy to get started with a simple set up. But once the scale kicks in, it becomes every important to have a resilient architecture that can handle hundreds of thousands of recipients. This talk will focus on the Serverless services consumed in building the architecture and the various architectural decisions. The talk covers the various challenges in building an architecture of this sorts and how we overcame them using Serverless services.

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