Multi-cloud

Multi-Cloud YugabyteDB with Kubernetes

Multi-Cloud YugabyteDB with Kubernetes

YugabyteDB Anywhere’s embedded Kubernetes operator allows declarative, Kubernetes-native infrastructure-as-code management of multi-cloud topologies leveraging popular service meshes. Discover how the latest YugabyteDB Anywhere features simplify the deployment of YugabyteDB universes across multiple clouds with Kubernetes.

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Multi-Cloud YugabyteDB in Practice

Multi-Cloud YugabyteDB in Practice

Several recent regional and cloud-wide outages have made multi-cloud solutions more appealing. In this blog, we explore the benefits of these architectures, the considerations to keep in mind, and practical guidance for deploying a multi-cloud YugabyteDB universe.

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Data Resilience Made Easy With YugabyteDB and Zadara

Data Resilience Made Easy With YugabyteDB and Zadara

YugabyteDB Anywhere’s streamlined approach to backup and restore operations ensures business continuity and data protection across multi-cloud and hybrid environments. When paired with Zadara Object Storage, you get a secure, scalable, and flexible storage solution that meets data protection requirements. This blog explores the benefits of YugabyteDB Anywhere’s backup and restore capabilities, why you should consider Zadara as a storage solution, and a step-by-step configuration guide.

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Multi-Cloud Distributed SQL: Avoiding Region Failure with YugabyteDB

Multi-Cloud Distributed SQL: Avoiding Region Failure with YugabyteDB

As Amazon CTO Werner Vogels often reminds us: ”Everything fails, all the time”. This means any component of the infrastructure will fail at some point. However, with more and more software being deployed in the cloud, today’s infrastructure must provide redundancy. In addition, the applications that sit on top of it must provide continuity over failures.

This involves database replication when the failure concerns data in motion. But there are different levels of failures and different protection technologies.

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An Adventure in Multi-Cloud with Kubernetes and Distributed Data

An Adventure in Multi-Cloud with Kubernetes and Distributed Data

At this year’s Distributed SQL Summit Asia 2021, Leon Kuperman from CAST AI presented the talk, “An Adventure in Multi-Cloud with Kubernetes and Distributed Data.”

Setting the Scene

CAST AI is an AI-driven cloud optimization platform for Kubernetes that helps companies cut their cloud bill and prevent downtime. In the presentation, Leon walks through how to deploy a highly available YugaybteDB cluster across three cloud providers (AWS,

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A Practical Multi-Cloud Distributed SQL Strategy for 2021

A Practical Multi-Cloud Distributed SQL Strategy for 2021

In order to meet the needs of the growing demand of businesses, many global enterprises are choosing cloud infrastructure from multiple providers like AWS, Azure, Google, or private data centers. According to a Gartner survey of public cloud users, 81% of respondents are already using multiple clouds. Leveraging multiple clouds to support data infrastructure provides these benefits:

  • Reduced operating and infrastructure costs by avoiding vendor lock-in.
  • Improved application resilience and redundancy with geographically distributed data centers.

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