Datastores promise easy scaling of your cluster to handle your data needs, providing top performance, but it (almost) never works as promised with out-of-the-box configuration. So, how can you scale efficiently with CrateDB and achieve performant queries? You will learn how sharding & partitioning choices, along with correct data modeling can get you there. Also, discover how to monitor your cluster to avoid unpleasant surprises, as Marios shares his best practices to keep your cluster healthy at all times! Finally, you'll learn about the key factors which will allow you to deploy CrateDB to the cloud and achieve the desired performance.
Speaker: Marios Trivyzas, Senior Software Engineer, Crate.io