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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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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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What’s New in YugabyteDB Docs – December 2020

What’s New in YugabyteDB Docs – December 2020

Welcome to this latest post on what’s new and improved in YugabyteDB Docs! We’re continually adding to and updating the documentation to give you the information you need to make the most out of YugabyteDB.

As a reminder, YugabyteDB provides two distributed SQL APIs:

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Using Linkerd with YugabyteDB

Using Linkerd with YugabyteDB

This blog post is written by guest author Bhavin Gandhi, Software Engineer at InfraCloud Technologies, Inc., in collaboration with the teams at Buoyant, the creator of Linkerd, and Yugabyte.

As more organizations turn to microservices architectures for their applications, Kubernetes naturally emerges as a perfect complement to those applications. But for application developers, building on Kubernetes can introduce complex problems to solve at the application layer. This is where service meshes like Linkerd come to the rescue and provide essential features like reliability,

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A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

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. First, migrating from Apollo Server and Amazon DynamoDB over to Hasura and YugabyteDB.

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Using PostgreSQL Aggregate Functions in YugabyteDB to Analyze COVID-19 Data

Using PostgreSQL Aggregate Functions in YugabyteDB to Analyze COVID-19 Data

YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer; and (2) Query Layer.

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Service Mesh Era: Building Modern Apps with YugabyteDB and Istio

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.

One of the most common security approaches is to set up mTLS.

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Distributed SQL Summit Recap: Mainframe Modernization

Distributed SQL Summit Recap: Mainframe Modernization

At the Distributed SQL Summit 2020, Brenesh Stanslas Flower Mary – Senior Architect, Wipro Digital, presented the talk “Monolith to Microservices.” In the talk he demonstrated how it is possible to take a large, intertwined mainframe monolith and break it down into microservices using a practical approach. The end-to-end approach he demonstrated made use of Wipro’s “moderniZ” platform which addresses the modernization (or transformation) of UIs, data, and services.

Challenges with Mainframes Today

Brenesh pointed out that although many organizations are well down the path of moving new (and some legacy applications) to the cloud or cloud-native technologies so they can take advantage of the cost savings,

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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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Distributed SQL Tips and Tricks – Oct 16, 2020

Distributed SQL Tips and Tricks – Oct 16, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow. Ok, let’s dive right in:

How to use joins in UPDATE statements

Sometimes,

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