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Automatic database sharding with Alibaba Cloud Table Store

06 May, 2019

At some point in your application’s lifecycle, there might come a time when you need to start scaling your data storage. If you are storing media files or other blobs that have no relations between them, you can easily add storage capacity to solve the problem. For (semi-)structured data in a database however, scaling is a whole different story. Simply adding database instances is not enough. You will need to reconsider the usage patterns and decide what solution solves the problem you have. If your database is hitting resource limits because it is accessed very frequently, adding an asynchronous read replica might be the way to go. If the size of the data is the issue and lookups become very slow, you might consider sharding your database.

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Léon Rodenburg is a full stack development consultant at Xebia. He has a background in Computer Science and Sinology and is always on the lookout for the crossroads between the two. Having lived and studied in China for quite some time, he has put his knowledge of the Chinese language into practice by experiencing on- and offline daily life in Beijing like a local.
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