Day: January 26, 2024

With more data comes greater responsibility for managing it optimally. After all, it's the heartbeat of any surviving business. A data integration strategy involves collecting, managing, and consuming it for analytical success. That being said, it's not only about piecing the data sets together. Rather, it’s the official roadmap of disparate sources communicating with each other to produce valuable insights. 

The right data integration strategy is essential for locking consistency, accuracy, and reliability, enabling futuristic decision-making. Without the same, enterprises fall prey to inaccurate data that can have critical implications for the business. 

Change data capture (CDC) is a widely adopted pattern to move data across systems. While the basic principle works well on small single-table use cases, things get complicated when we need to take into account consistency when information spans multiple tables. In cases like this, creating multiple 1-1 CDC flows is not enough to guarantee a consistent view of the data in the database because each table is tracked separately. Aligning data with transaction boundaries becomes a hard and error-prone problem to solve once the data leaves the database.

This tutorial shows how to use PostgreSQL logical decoding, the outbox pattern, and Debezium to propagate a consistent view of a dataset spanning over multiple tables.

Ad-serving systems frequently need to accommodate millions, or even billions, of requests daily, constructing and delivering personalized ads within just a few milliseconds. Beyond handling the substantial daily volume of requests, these platforms must be capable of managing spiky traffic with sudden surges in user activity as well.

In this blog post, we will construct a real-time ad cache server utilizing the cutting-edge technologies of Bun, ElysiaJS, and Dragonfly. Not just for the enjoyment of exploring new tools, but also to leverage their exceptional developer experience and performance capabilities. Let's take a brief look at the technologies we will be using in this post: