Cloud Providers

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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Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It on Google Kubernetes Engine (GKE)

Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It on Google Kubernetes Engine (GKE)

Spring Boot is a popular framework for building cloud native applications. It makes configuring an application easy and helps you off the ground quickly. Each Spring Boot application is stand-alone and self-contained, which makes all of them easy to deploy in a distributed fashion – to containers or on Kubernetes.

YugabyteDB Managed (formerly Yugabyte Cloud) is our database-as-service offering. It is a perfect match for Spring Boot applications, especially ones made highly available with Kubernetes.

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Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It on Amazon Elastic Kubernetes Service (EKS)

Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It on Amazon Elastic Kubernetes Service (EKS)

Spring Boot is an extremely popular framework for building cloud native applications. It makes configuring an application easy and offers lots of starters to get you off the ground quickly. Each Spring Boot application is stand-alone and self-contained, which makes them easy to deploy in a distributed fashion – to containers or, even better, on Kubernetes.

YugabyteDB Managed (formerly Yugabyte Cloud) is a perfect match for Spring Boot applications,

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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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Justuno’s Database Journey from Ground to Cloud

Justuno’s Database Journey from Ground to Cloud

At a recent Distributed SQL Summit, Travis Logan – CTO & Co-Founder at Justuno, presented the talk, “Evolve: A Database Journey from Ground to Cloud.”

With over 14 years of experience with Microsoft SQL Server, Travis is well-versed in the evolution of transactional databases. In this talk he summarizes his experiences with traditional RDBMS while trying to improve their redundancy, scaling characteristics, and performance.

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Distributed SQL Summit Recap: How Admiral Scales Globally and Achieves Single Digit Latency

Distributed SQL Summit Recap: How Admiral Scales Globally and Achieves Single Digit Latency

At the Distributed SQL Summit 2020, James Hartig – Co-Founder at Admiral, presented the talk “How Admiral Scales Globally with YugabyteDB on Google Cloud While Maintaining Single-Digit Latency.”

Admiral’s Go application runs in Google Cloud across 5 regions in 3 continents. This geo-distributed architecture is powered by a single YugabyteDB cluster that delivers an average global read latency of 3ms! In this talk,

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Introducing Yugabyte Platform on Microsoft Azure

Introducing Yugabyte Platform on Microsoft Azure

We have been hard at work expanding our ecosystem to be available across major cloud infrastructure providers so we can power applications in any cloud or across clouds. In addition to deploying the YugabyteDB Anywhere (formerly YugabytDB Platform), our commercial database-as-a-service (DBaaS) offering, natively in AWS and GCP, we’re excited to announce the beta release of the Yugabyte Platform on Microsoft Azure. While it’s true Yugabyte Anywhere can already be deployed on Azure as an on premise cloud provider,

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Building Serverless Applications Using Spring Boot, AWS Lambda, and YugabyteDB

Building Serverless Applications Using Spring Boot, AWS Lambda, and YugabyteDB

Introduction to Serverless Applications

Serverless applications allow developers to run code without having to provision or manage any servers; developers can just concentrate on implementing the business logic of their applications.

As workloads move to the cloud, serverless applications are gaining tremendous popularity with developers. Serverless frameworks allow developers to program for the cloud to take advantage of elastic scaling for workloads and provide cost benefits of using pay-for-use features, only getting billed for compute time they consume.

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How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL and NoSQL Databases

How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL and NoSQL Databases

Justuno provides a Conversion Rate Optimization (CRO) Platform that enables e-commerce sites to turn visitors into customers through personalized onsite messaging, intelligent cross-selling, and upselling. More than 188,000 (and counting) industry leading brands improve sales and the customer experience at the same time.

At the heart of the Justuno platform is visitor intelligence data, and there’s a lot of it. Justuno tracks between 30 and 50 data points per visitor–such as time on site,

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