Building internet-scale event-driven applications with Cloud Spanner change streams

Cloud Spanner change streams allow near real-time tracking of database changes for analytics, event-driven applications, and more. Change streams can be easily configured to replicate data to BigQuery for analysis. With support for Pub/Sub and Kafka, change streams enable event-driven architectures where Spanner data triggers actions in downstream systems. Creating change streams involves writing DDL and configuring event streaming pipelines. Dataflow templates and Kafka connectors simplify the creation of these pipelines. Change streams can use different value capture types, such as NEW_VALUES, to optimize for different use cases. Change streams offer external consistency, high scale, and availability. They make it easier to build event-driven applications with the flexibility businesses need. Getting started with change streams is straightforward, with resources available for both paid and free usage.