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Tag: Cloud Native

Three NoSQL Challenges That Can Be Solved with Distributed SQL

Three NoSQL Challenges That Can Be Solved with Distributed SQL

The following text is an excerpt from the new white paper, Migrating From Monolithic to Cloud Native Operational Databases

In this section, we walk through the three challenges of using current generation NoSQL databases: operational complexity, frustrating application development, and inconsistent customer experiences.

1. NoSQL operational complexity

As noted in the previous section, databases have evolved to become cloud hosted but are far from cloud native.

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

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

Temenos could not continue to rely on monolithic databases for manufacturing business operations. They needed a high-availability, scale-out transactional database, so they turned to YugabyteDB. They recently announced that the Temenos Banking Cloud is achieving 100,000 business transactions per second. Learn how that performance benchmark was achieved.

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Retail Application Migration: Lessons Learned Moving from On-Prem to Cloud Native

Retail Application Migration: Lessons Learned Moving from On-Prem to Cloud Native

Recently, I came across a sample e-commerce application that demonstrates how to use Next.js, GraphQL engine, PostgreSQL, and a few other frameworks to build a modern web application. The application supports basic e-commerce capabilities such as product inventory and order management, recommendation system, and checkout function. This made me curious as to how much effort it would take to complete a retail application migration from an on-premise to cloud native solution. So I decided to try.

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Cloud Native Java: Integrating YugabyteDB with Spring Boot, Quarkus, and Micronaut

Cloud Native Java: Integrating YugabyteDB with Spring Boot, Quarkus, and Micronaut

Java is the quintessential language runtime for enterprise applications built on monoliths, microservices, and modular architecture patterns. But when it comes to “Enterprise Java,” Spring is the de facto framework of choice.

The Spring ecosystem—with the simplicity of Spring Boot—has grown to provide integration touchpoints to a majority of the Java ecosystem. For starters, it offers a clean abstraction and “glue” code to build cohesive enterprise applications. However,

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Are Stored Procedures and Triggers Anti-Patterns in the Cloud Native World?

Are Stored Procedures and Triggers Anti-Patterns in the Cloud Native World?

The last decade has seen a rise in usage of distributed SQL databases for transactional, cloud native applications. Popular options include Amazon Aurora, Google Spanner, YugabyteDB, and CockroachDB. All of these databases are resilient to failures and achieve high availability. However, they vary dramatically in the set of relational database management system (RDBMS) features they support.

Google Spanner and CockroachDB have chosen to rewrite the SQL engine from scratch. As a result, they do not implement many of the advanced features supported by a traditional RDBMS.

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Reimagining the RDBMS for the Cloud

Reimagining the RDBMS for the Cloud

Perspectives from 5 years of building a cloud native database

YugabyteDB just turned 5 years old, and I cannot help but reminisce about our journey in building this database over the last half-decade. I vividly remember the genesis of the YugabyteDB project, which started with Kannan, Mikhail, and myself meeting for lunch at a restaurant to discuss the future of cloud native databases. After iterating on the idea over a number of such discussions,

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Distributed SQL Summit Recap: The Future of Data Infrastructure, A Telco Roundtable

Distributed SQL Summit Recap: The Future of Data Infrastructure, A Telco Roundtable

At the Distributed SQL Summit 2020, leaders and architects from notable enterprises in the telco industry joined us for a panel to discuss the future of software development, including important trends such as IoT, 5G, Edge, cloud, and their impact on data infrastructure. Our panelists included Puneet Devadiga from Rakuten Mobile, Hale Donertasli from Rakuten Mobile, Kartik Rallapalli from TracFone Wireless, and James Taylor from Comcast; the panel was moderated by Yugabyte’s head of Data Engineering,

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Distributed SQL Summit Recap: Mastercard’s Cloud Native Journey to Distributed Databases

Distributed SQL Summit Recap: Mastercard’s Cloud Native Journey to Distributed Databases

At the Distributed SQL Summit 2020, Ken Owens – Vice President, Cloud Native Engineering, Mastercard, presented the talk, “The Data Divide: An End User’s Cloud Native Journey to Distributed Databases.”

Because Ken has been working at the intersection of technology and financial services for more than 20 years, he brings a unique perspective to how cloud native and distributed systems can transform, what from the outside may appear to be a slow moving industry,

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Announcing Distributed SQL Summit Asia Registration Is Now Open!

Announcing Distributed SQL Summit Asia Registration Is Now Open!

Earlier this year, we held the second annual Distributed SQL Summit, a free online conference to push the boundaries of cloud native RDBMS forward. (You can view all the talks on our Vimeo channel) Attendee feedback was very positive, the engagement level was high, and the talks were amazing! We heard the request from several community members to take the show on the (virtual) road to other timezones to make it easier to join live.

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