Category: Distributed SQL

YugabyteDB 2.15: Support Any Workload with Dynamic Workload Optimization

June 29, 2022

Company News Databases Distributed SQL Open Source Release Announcements

YugabyteDB 2.15: Support Any Workload with Dynamic Workload Optimization

Several of the key innovations released in YugabyteDB 2.15 help you not just survive, but thrive, in the face of changes. New YugabyteDB features support a diverse set of applications and their inherent unpredictability with greater ease. By leveraging a flexible, unified database you can avoid re-architecting applications or augmenting your environment with new databases.

Predicting how your applications and their requirements will change and morph over time is almost impossible. We live in a world where old customers disappear,

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Announcing YugabyteDB 2.15 and YugabyteDB Voyager: The Future of Distributed SQL

June 28, 2022

By Yogesh Mahajan

Company News Databases Distributed SQL Open Source Release Announcements

Announcing YugabyteDB 2.15 and YugabyteDB Voyager: The Future of Distributed SQL

Welcome to YugabyteDB Product Week! We are thrilled to announce one of the most extensive updates to YugabyteDB since its initial launch. YugabyteDB 2.15 and our new YugabyteDB Voyager are available now!

Our latest database release introduces a suite of features focused on dynamic workload optimization, developer productivity features, and improved performance.

YugabyteDB Voyager, our new open source data migration engine, simplifies the movement of traditional and cloud-based databases to YugabyteDB.

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How Narvar Embraces Flexibility for Compliance, Multi-Cloud, and More

June 23, 2022

By Michael Haag

Company News Databases Distributed SQL

How Narvar Embraces Flexibility for Compliance, Multi-Cloud, and More

The following text is an excerpt from the new ebook, New Retail Era: 5 Way to Grow with a Modern Data Layer

“Be Prepared.” The Boy Scouts of America’s motto seems more relevant today than ever before. The past few years have taught us that the world can change rapidly. Preparing for the digital future, whether from planned innovations or unexpected scenarios, is a top priority for retail IT executives.

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YugabyteDB Managed – The Monthly Scoop (June 2022)

June 22, 2022

By Shreyas Agnihotri

Community News Company News Databases Distributed SQL YugabyteDB Managed

YugabyteDB Managed – The Monthly Scoop (June 2022)

Summer is finally here and there’s no better time to sit back and enjoy a nice, refreshing scoop! June’s monthly scoop for YugabyteDB Managed is loaded with cool new features that we are sure will get your summer started right.

How to Run Debezium Server with Kafka as a Sink

June 21, 2022

By Vaibhav Kushwaha

Databases Distributed SQL Ecosystem Integrations How To

How to Run Debezium Server with Kafka as a Sink

Change data capture (CDC) captures changes made to data in a database and streams those changes to external processes, applications or other databases. In other words, the CDC process identifies whenever there are changes in a database or a table and records those changes to be processed by other downstream applications.

Debezium Server provides a ready-to-use application that streams change events from a source database to messaging infrastructure like Amazon Kinesis or Google Cloud.

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Distributed SQL Sharding: How Many Tablets and at What Size?

June 17, 2022

By Franck Pachot

Databases Distributed SQL How It Works Open Source

Distributed SQL Sharding: How Many Tablets and at What Size?

Explore how database sharding works, how to handle corner cases correctly, and how to split tablets to save resources.

YugabyteDB CDC: Using JDBC Sink Connector with Kafka

June 16, 2022

By Vaibhav Kushwaha

Databases Distributed SQL Ecosystem Integrations PostgreSQL

YugabyteDB CDC: Using JDBC Sink Connector with Kafka

It’s been a while since YugabyteDB came out with Change Data Capture (CDC) using Debezium, an open source distributed platform. You can just fire it up as a plugin for Kafka connect and then it will start publishing all the changes in your database to a Kafka topic.

The Debezium Connector for YugabyteDB CDC is our addition to the list of Debezium connectors. It also provides support for reading changes from a YugabyteDB database.

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YugabyteDB and Red Hat OpenShift: Resilient Kubernetes Workloads at Scale

June 10, 2022

By Brian Foster

Databases Distributed SQL Ecosystem Integrations How It Works Open Source

YugabyteDB and Red Hat OpenShift: Resilient Kubernetes Workloads at Scale

Kubernetes has become widely adopted in the Fortune 500. Many companies are now using the platform to run stateless and stateful applications on-premises or as hybrid cloud deployments in production. Of course, with any new technology, there are growing pains when running resilient Kubernetes workloads. But most executives and developers agree that the benefits far outweigh the challenges.

Data on the Kubernetes ecosystem is evolving rapidly with the rise of stateful applications. However,

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How Kroger Enhances Customer Experience with Omnichannel Optimization

June 8, 2022

By Michael Haag

Company News Databases Distributed SQL

How Kroger Enhances Customer Experience with Omnichannel Optimization

Data is at the heart of innovation in retail. It also plays a critical role in driving transformative customer experiences. Unfortunately, the existing data layer powering key services forces unacceptable tradeoffs — whether in data consistency, scale, cost, or flexibility.

Leading retailers are rapidly adopting Yugabyte’s distributed multi-cloud SQL database, YugabyteDB. This database provides key data consistency. It also offers the resilience, security and seamless scalability needed for both existing and new cloud-native applications.

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Log Aggregation in YugabyteDB with Grafana Loki

June 7, 2022

By Srinivasa Vasu

Databases Distributed SQL Ecosystem Integrations

Log Aggregation in YugabyteDB with Grafana Loki

Log aggregation is an integral part of a distributed system. As the name suggests, a distributed system will have multiple processes across multiple machines, and each process will generate a lot of data. Looking at the data in silos is time-consuming and wouldn’t yield important information as the data sets still need to be correlated. But aggregating the logs is a huge productivity booster that helps to transform the raw log data into insightful information.

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Category: Distributed SQL

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