The Distributed SQL Blog

Thoughts on distributed databases, open source, and cloud native

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,

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Distributed SQL Summit Recap: A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

At the Distributed SQL Summit 2020, Tobias Meixner – CTO & Co-Founder at BRIKL, presented the talk, “A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura.”

Switching databases is painful, even more so when going from NoSQL to SQL. In this talk Tobias gave us insights into BRIKL’s two key elements of their migration path.

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Distributed SQL Summit Recap: Transforming the Omni-Channel Experience at Kroger

At the Distributed SQL Summit 2020, Mahesh Tyagarajan – VP Engineering, Kroger – presented the talk “Technology Strategy and Transformation”. The talk focused around the technology infrastructure, current challenges, and the need faced by Kroger to transform its technology stack.

Kroger is as big as retail gets

Kroger is the largest supermarket in the US,

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Service Mesh Era: Building Modern Apps with YugabyteDB and Istio

Microservices architectures are becoming the de facto way developers are thinking about how their applications are constructed. But security remains a top concern for many organizations. Given the general trends of the proliferation of threats within the production network and the increased points of privileged access, it is increasingly necessary to adopt a zero-trust network security approach for microservices architectures.

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Scaling Relational Spring Microservices Without Load Balancers

This article was originally posted on JAXenter.com.

Modern cloud native applications demand relational databases to be highly available while being able to scale to millions of requests (RPS) and thousands of transactions per second (TPS) on demand. This is becoming essential to meet the seamless experience demanded by business applications and their users. High availability and scalability in NoSQL databases like Apache Cassandra and MongoDB are well understood,

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Developing Reactive Microservices with Spring Data and Distributed SQL

In 2016 in the keynote presentation of Spring One Platform, Juergen Hoeller announced Spring WebFlux, one of the most highly anticipated projects being worked on by the Spring Team due to the performance gains that reactive streams promised for web controllers. Subsequently, with Spring Framework 5.0, Spring Reactive MVC went GA along with the release of WebFlux API,

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Why Distributed SQL Beats Polyglot Persistence for Building Microservices?

Today’s microservices rely on data with different models and read/write access patterns. Polyglot persistence, first introduced in 2008, states that each such data model should be powered by an independent database that is purpose-built for that model. This post highlights the loss of agility that microservices development and operations suffer when adopting polyglot persistence. We review how distributed SQL serves as an alternative approach that doesn’t compromise this agility.

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