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How YugabyteDB Scales Temenos’ Cloud Platform to 100K Business Transactions Per Second

Last week, Temenos made a major announcement – the Temenos Banking Cloud is achieving 100,000 transactions per second and running on a greener and more scalable platform.

Specifically, this has been a three-month project with multiple vendors, and YugabyteDB has had a significant role in the project’s success.

So, what does their benchmark of 100 million customers and 200 million deposit accounts with 100,000 transactions per second and 61 transactions per second per core mean for the database and business users?

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Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

The evolution of “build once, run anywhere” containers and Kubernetes—a cloud-agnostic, declarative-driven orchestration API—have made a scalable, self-service platform layer a reality. Even though it is not a one size fits all solution, a majority of business and technical challenges are being addressed. Kubernetes as the common denominator gives scalability, resiliency, and agility to internet-scale applications on various clouds in a predictable, consistent manner. But what good is application layer scalability if the data is still confined to a single vertically scalable server that can’t exceed a predefined limit?

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How a Fortune 500 Retailer Weathered a Regional Cloud Outage with YugabyteDB

On the heels of an incredibly difficult 2020, my fellow Texans and I had the misfortune of experiencing a once-in-a-lifetime snowstorm. To be true, at the time, it felt like much more than a snowstorm. It wasn’t just snowfall in Texas. It was a snow-pocalypse.

However, once the storm settled, I explored how the rest of Texas had fared. I discovered some of the companies who run applications in production on YugabyteDB were also affected.

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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

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

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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Distributed SQL Summit Recap: Justuno’s Database Journey from Ground to Cloud

At the Distributed SQL Summit 2020, 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

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 Azure – Beta Release Announcement

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 Yugabyte 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 Platform can already be deployed on Azure as an on premise cloud provider,

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