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Category: Databases

How to Run Debezium Server with Kafka as a Sink

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?

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

The first answer to this question is the usual “it depends“. The second answer, thanks to YugabyteDB’s auto-splitting feature and distributed SQL sharding principles, is “don’t worry, this is managed automatically.

However, it’s still important to understand how sharding works, how to handle corner cases correctly, and how to split tablets to save resources. In this post, we’ll explore how sharding works in YugabyteDB by defining the initial quantity and size of tablets.

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YugabyteDB CDC: Using JDBC Sink Connector with Kafka

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

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

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

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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Three Career-Defining Takeaways From My Time as a Yugabyte APJ Intern

Three Career-Defining Takeaways From My Time as a Yugabyte APJ Intern

Hello everyone! It’s Lakshmi, from the sunny (and rainy!) shores of Singapore. I am now wrapping up my 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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Securing YugabyteDB: Part 3 – CQL Client-to-Server Encryption in Transit

Securing YugabyteDB: Part 3 – CQL Client-to-Server Encryption in Transit

In Part 1 and Part 2 of this blog series, we covered securing YugabyteDB through the database’s internal RPC and SQL protocols using the TLS encryption protocol. In this post, we explore how to secure communication between CQL clients and the CQL-compatible YCQL query interface of YugabyteDB, as part of the client-to-server encryption in transit setup.

Encryption in transit is a common requirement for client-to-server communication.

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Building a Simple Application with YugabyteDB and Prisma

Building a Simple Application with YugabyteDB and Prisma

When building modern web applications, developers often find data modeling and data access to be productivity bottlenecks. Rather than moving towards a schema-less database solution, many find using an ORM (object-relational mapping) tool with SQL to be their preferred option. The Node.js community has long been supportive of the Sequelize ORM, with Prisma being a newer option for those looking to model, migrate, and query their data.

In this blog, we’ll get acquainted with Prisma and how it interfaces with Node.js and YugabyteDB.

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