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Debezium

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Implementing the Outbox Pattern with Debezium

Posted on September 27, 2025September 27, 2025 by admin

Introduction Modern applications often need to store data and at the same time publish events.Example: If the app writes to the database and Kafka separately, things can go wrong: This problem is called the dual-write problem.The Outbox Pattern solves it.

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Production-Grade Debezium Connector with Kafka (Postgres Outbox Example – E-Commerce Orders)

Posted on September 27, 2025September 27, 2025 by admin

Introduction Running Debezium in production is very different from running it locally. In production, the pipeline must be: This article shows how to build a production-grade Debezium + Kafka connector using the Outbox Pattern with PostgreSQL in an e-commerce order system.

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Connecting Debezium with Kafka for Real-Time Streaming

Posted on September 27, 2025September 27, 2025 by admin

Introduction Modern systems need real-time data. For example: Batch jobs are too slow for these cases. The solution is to build a real-time streaming pipeline. Together, they form a strong foundation for event-driven systems.

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Debezium Architecture – How It Works and Core Components

Posted on September 27, 2025September 27, 2025 by admin

Introduction Modern systems need to move data fast and in real time. A small change in a database, like a new order or an update to a customer’s profile, must reach many systems instantly: analytics dashboards, search engines, caches, or other microservices. Debezium helps solve this challenge. It is an open-source platform for Change Data…

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What is Debezium? – An Introduction to Change Data Capture

Posted on September 22, 2025October 8, 2025 by admin

Introduction Today, many companies need to move data quickly from one system to another. For example, when a new order is made in an online shop, that order data must be sent to many other systems: payment, inventory, shipping, and reports. Doing this manually is slow and complex. This is where Debezium comes in.

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Widhian Bramantya

Recent Posts

  • Smart Automation in PostgreSQL: Managing Time-Based Data with pg_partman and pg_cron
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  • Blue-Green Deployment in Elasticsearch: Safe Reindexing and Zero-Downtime Upgrades
  • Maintaining Super Large Datasets in Elasticsearch
  • Elasticsearch Best Practices for Beginners
  • Implementing the Outbox Pattern with Debezium
  • Production-Grade Debezium Connector with Kafka (Postgres Outbox Example – E-Commerce Orders)
  • Connecting Debezium with Kafka for Real-Time Streaming
  • Debezium Architecture – How It Works and Core Components
  • What is Debezium? – An Introduction to Change Data Capture
  • Offset Management and Consumer Groups in Kafka
  • Partitions, Replication, and Fault Tolerance in Kafka
  • Delivery Semantics in Kafka: At Most Once, At Least Once, Exactly Once

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