Multi-cloud

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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Getting Started with Hasura GraphQL Remote JOINs on Multi-Cloud Distributed SQL

Getting Started with Hasura GraphQL Remote JOINs on Multi-Cloud Distributed SQL

Remote joins in Hasura GraphQL extend the concept of joining data across tables, to being able to join data across tables and remote data sources. In this blog post we are going to demonstrate this capability by configuring the following set up.

  • A 3 node YugabyteDB cluster running on GKE with a Hasura GraphQL Engine attached
  • A 3 node YugabyteDB cluster running on AKS with a Hasura GraphQL Engine attached
  • A Remote Schema and Remote Relationship configured
  • The ability to issue GraphQL queries that join data from two different databases,

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