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Building a CDC Pipeline with Kafka

· 4 min read
Harry (장민호)
Harry (장민호)
Developer
Analytics Use Cases

Hello. In this post, we introduce how to build a CDC (Change Data Capture) pipeline for real-time data synchronization using KakaoCloud services.

CDC (Change Data Capture) is a technology that detects changes in a database in real time and delivers them to other systems. By capturing changes such as INSERT, UPDATE, and DELETE that occur in a database and delivering them to other systems, real-time data synchronization and processing become possible. This technology is widely used for various purposes, including real-time data sharing between microservices, providing up-to-date data for real-time analytics, and improving the reliability and speed of data backups.

Importance of CDC for real-time synchronization​

Let's use the order system of a large online shopping mall as an example. During a special sale for a popular product, Customer A completes the purchase of the last item in stock. In a system without CDC, there may be a delay before changes in the inventory database are reflected in other systems. Therefore, if another customer, Customer B, orders and completes payment for the same product during this delay, the order must later be canceled due to insufficient inventory. If this situation continues to occur in the system, it will negatively affect business reliability as well as customer satisfaction.

If CDC technology had been applied in advance, the database change would have been detected immediately after Customer A's purchase was completed and reflected in real time across all related systems, including inventory management, product display, and payment systems. In this process, the product could immediately be displayed as "sold out," preventing unnecessary additional orders from Customer B.

In this way, CDC contributes to improving both business operational efficiency and customer satisfaction by immediately reflecting database changes. For this reason, many companies are adopting CDC solutions to improve data management and system integration.

KakaoCloud provides various managed services for building CDC pipelines. By using these services, you can easily build a stable and cost-effective CDC pipeline. The following are the core services required to build a CDC pipeline.

  • MySQL: KakaoCloud provides an enterprise-grade managed MySQL service. Automatic backup, real-time monitoring, and security patches are performed automatically, and stable database operations are possible through high availability and automatic failure handling.

  • Advanced Managed Kafka: Advanced Managed Kafka is KakaoCloud's fully managed Apache Kafka service. It automatically configures and manages high-performance infrastructure for large-scale real-time data streaming, and cluster operation and monitoring are automated, enabling a stable message brokering service.

  • Hadoop Eco: Hadoop Eco is a data analytics ecosystem that makes it easy and fast to perform various tasks using large-scale data. It provides various open-source components in the Hadoop ecosystem as fully managed services, reducing the burden of building and operating complex big data environments.

Building a CDC Pipeline with Kafka​

You can check the CDC pipeline configuration example described above in detail in a tutorial in KakaoCloud technical documentation.

The Building a CDC Pipeline with Kafka tutorial explains how to set up a CDC pipeline using MySQL, a managed database service, Advanced Managed Kafka for real-time data streaming, and Hadoop Eco for data analytics.

The following architecture shows the overall flow of the tutorial: Debezium detects data changes in MySQL, delivers them in real time through Kafka, and finally analyzes them in Druid and visualizes them with Superset.

Image KakaoCloud CDC pipeline architecture

KakaoCloud CDC pipelines can be used effectively in various business environments, such as real-time inventory management, user behavior analytics, and event-driven systems. The Building a CDC Pipeline with Kafka tutorial provides a useful guide for implementing these cases and applying them to real business environments.

Closing​

In recent business environments, CDC pipelines have become an essential element for supporting real-time data synchronization and analytics. Please also remember that by using KakaoCloud managed services, you can easily and efficiently build stable and scalable CDC pipelines.

For more details and usage methods, see Building a CDC Pipeline with Kafka.

Thank you!