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YugabyteDB Open Source Community Spotlight – July 2021

The Yugabyte community is always active and its members are constantly having interesting conversations and making valuable contributions. We spotlight members of the community to recognize their contributions to making the Yugabyte community a great place.

Radek Gruchalski, Managing Director & Software Engineer @ Klarrio GmbH

GitHub: https://github.com/radekg/, LinkedIn: https://linkedin.com/in/radgruchalski,

Blog: https://gruchalski.com/

If you’re on the Yugabyte community Slack often,

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Geo-Distribution in YugabyteDB: Engineering Around the Physics of Latency

Customers today expect always-on, highly responsive access to services wherever they are in the world. This is driving businesses to deploy globally distributed applications that deliver better customer experiences. Moving to a geo-distributed database is a key part of this. Moving data closer to where the end-users are enables lower latency access. Geo-distribution can make the data service resilient to zone and region failures in the cloud. Recent adverse weather conditions and data center accidents have underscored the need for this.

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Connecting to YugabyteDB with Arctype, a Collaborative SQL Client

YugabyteDB is PostgreSQL compatible. It uses the same protocol and SQL layer as PostgreSQL. This makes YugabyteDB compatible with a majority of database tools, because PostgreSQL is the most popular open source database on the planet. Here is an example with Arctype, a user-friendly collaborative SQL client to query and visualize data.

Setting up a database connection

1. I went to https://arctype.com/ and downloaded the client for Windows.

2.

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Distributed SQL Summit Asia Recap: How Xignite Delivers Financial Data at Scale

At Distributed SQL Summit Asia, Qin Yu – VP, Engineering, Xignite – presented a talk on how Xignite uses YugabyteDB to power its technology infrastructure to meet the current and future data needs of its financial services and fintech customers.

Xignite – A pioneer in market data innovation

Xignite is on a mission of “making market data easy.” It does this by offering a cloud-based Market Data Management Solution that aggregates and manages market data in the cloud,

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Catalysts of Change: Fireside Chat with Paul Gaffney of Kohl’s

A few weeks ago, Yugabyte CEO Bill Cook and I had the pleasure of speaking with Paul Gaffney, the CTO and Chief Supply Chain Officer of Kohl’s during a virtual fireside chat as part of our Catalysts of Change series. Paul is a visionary tech leader with an extensive track record of driving technology change and innovation at companies like Dick’s Sporting Goods, The Home Depot, and AAA of Northern California,

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Distributed SQL Tips and Tricks – July 9th, 2021

Welcome back to our bi-weekly tips and tricks blog where I have the pleasure of recapping some distributed SQL questions from around the Internet. This blog series would not be possible without all of the behind the scenes and community work done by YugabyteDB members such as Dorian Hoxha and Frits Hoogland. All of us here at Yugabyte also have to thank our incredible user community for their work with the technology,

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Multi-Region YugabyteDB Deployments on Kubernetes with Istio

This blog post is written by guest author Bhavin Gandhi, Software Engineer at InfraCloud Technologies, Inc., in collaboration with teams at Yugabyte. InfraCloud helps startups, SMBs, and enterprises scale by adopting cloud native technologies.

As organizations deploy applications across multiple cloud regions to better meet user demand and comply with regulations such as GDPR, there is a need to distribute data across geographic regions.

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Auto-Balancing Data in YugabyteDB, a Distributed SQL Database

YugabyteDB is a distributed, fault tolerant and highly available database with extremely low latencies for reads and writes. Data in YugabyteDB is sharded, replicated and balanced across multiple nodes that can potentially be in different availability zones, regions or even clouds for that matter. In this blog post, we look at how data balancing happens in YugabyteDB and some of the key features of YugabyteDB’s “Cluster Balancer.”

The cluster balancer runs once every second.

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Yugabyte + Hasura Make it Easier to Build Complex, Global Applications

Building innovative applications that improve user experience and exceed expectations is hard. As users, we demand a lot. We demand that your applications always be available – who knows, we may want to order a new set of tires at 3:30 am on a Wednesday. We demand that your applications be fast wherever we are – doesn’t matter if it’s Phnom Penh or Philadelphia. And we definitely expect you to give us a good experience – your application should know what we want to do next and help us get there.

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Reads in YugabyteDB – Tuning Consistency, Latency and Fault Tolerance

Introduction

YugabyteDB is built primarily to be a CP database per the CAP theorem. It supports two interfaces – YSQL for SQL workloads and YCQL for Cassandra-like workloads. In this blog, we will primarily talk about the YCQL interface. When an application interacts with the database using the YCQL interface, the writes are always consistent and reads are consistent by default. When this level of consistency is not required, YugabyteDB supports two other types of reads:

1.

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