It’s super easy to get started. Add a cluster to your Cloud Bigtable instance at any time, and we’ll automatically replicate the data. Cloud Bigtable supports multi-primary replication, so every cluster accepts both reads and writes. Each cluster can also be scaled independently, allowing you to provision for exactly what you need in each zone or region.
During Next ’19, the Cloud Bigtable and Cloud Networking teams shared how Cloud Bigtable takes advantage of Google’s extensive global network to make multi-region replication possible. You can check out the session recording for more details.
Using Cloud Bigtable replication in production
Examples of workloads in financial services, advertising, and IoT show the wide variety of use cases that replication can help support.
Availability is critical for many of our users, especially those in regulated industries like financial services and healthcare. Cloud Bigtable replication provides resilience in the event of zonal or regional failures, and can play a critical role in your disaster recovery strategy.
Multi-region replication allows our AdTech users to locate their data close to their customers and to ad exchanges. This makes it easier to reduce end-to-end request latencies for ad bidding and personalization services, where custom advertisements and page content is served to website visitors in real time.
Finally, customers use replication to separate data ingest from analysis. Cloud Bigtable replication allows you to collect data from geographically dispersed sources and perform centralized analysis in a separate cluster, without impacting data collection. This strategy can be particularly helpful for IoT workflows, fraud detection, and personalization.
To get started with Cloud Bigtable replication, create an instance and configure one or more application profiles to use in your distributed application. Or, simply add a cluster to an existing instance and we’ll replicate your data automatically.
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