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!
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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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.
In this post, we’ll explore how to run Debezium Server with Kafka as a sink using the Debezium connector for YugabyteDB.
Explore how database sharding works, how to handle corner cases correctly, and how to split tablets to save resources.
In this blog, we’ll discover how to publish data to a Kafka topic and then read those messages to another sink, in this case a PostgreSQL database.
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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In this blog post, we’ll explore how Kroger is making the right digital transformation investments using a modern data layer to power a flexible growth engine for their business.
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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Hello everyone! It’s Lakshmi, from the sunny (and rainy!) shores of Singapore. I am now wrapping up my Yugabyte internship, and it feels bittersweet to be penning down my thoughts on this document prior to posting it. These four months have been eventful—from the sleepless countdown to DSS Asia 2022 to interacting with a warm team that pools their strengths together.
In this post— the final installment of the series—I want to outline three lessons I have learned from my time as a Yugabyte APJ intern.
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