Hello. I’m Sahith, a Yugabyte engineering intern. I’m a 2022 Computer Science Engineer graduate from PES University in Bangalore who loves to solve problems with code. I also recently decided to join Yugabyte in a full-time engineering role. And lucky for me, this turned out to be one of the best decisions I’ve made.
However, before joining the company full time, I wanted to share some takeaways from my internship experience.
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In Java development, garbage collection is a routine task. Applications generate garbage all the time. And that garbage is meticulously cleaned out by CMS, G1, Azul C4 and other types of collectors. Basically, our applications are born to bring value to this world, but nothing is perfect—including our applications that leave litter in the Java heap.
However, the story doesn’t end with the Java heap. In fact, it only starts there. Let’s take the example of a basic Java application that uses a relational database—such as PostgreSQL—and solid state drives (SSDs) as a storage device.
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In this blog, we explore how to stream data from YugabyteDB’s Change Data Capture (CDC) feature to Snowflake through Amazon S3.
We are excited to announce that registration is now open for our fourth annual Distributed SQL Summit (DSS) 2022 on September 14th.
This virtual event will be our biggest global event to date. Additionally, a series of in-person DSS days around the world will follow this event.
The Distributed SQL Summit 2022 brings together the Distributed SQL community, customers, partners, and industry thought leaders. The goal of the event is to explore the challenges and opportunities of database modernization and transformation.
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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.
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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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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