If you have launched a public cloud with managed ClickHouse service, feel free to [open a pull-request](https://github.com/ClickHouse/ClickHouse/edit/master/docs/en/commercial/cloud.md) adding it to the following list.
[Yandex Managed Service for ClickHouse](https://cloud.yandex.com/services/managed-clickhouse?utm_source=referrals&utm_medium=clickhouseofficialsite&utm_campaign=link3) provides the following key features:
[SberCloud.Advanced](https://sbercloud.ru/en/advanced) provides [MapReduce Service (MRS)](https://docs.sbercloud.ru/mrs/ug/topics/ug__clickhouse.html), a reliable, secure, and easy-to-use enterprise-level platform for storing, processing, and analyzing big data. MRS allows you to quickly create and manage ClickHouse clusters.
- A ClickHouse instance consists of three ZooKeeper nodes and multiple ClickHouse nodes. The Dedicated Replica mode is used to ensure high reliability of dual data copies.
- MRS provides smooth and elastic scaling capabilities to quickly meet service growth requirements in scenarios where the cluster storage capacity or CPU computing resources are not enough. When you expand the capacity of ClickHouse nodes in a cluster, MRS provides a one-click data balancing tool and gives you the initiative to balance data. You can determine the data balancing mode and time based on service characteristics to ensure service availability, implementing smooth scaling.
- MRS uses the Elastic Load Balance ensuring high availability deployment architecture to automatically distribute user access traffic to multiple backend nodes, expanding service capabilities to external systems and improving fault tolerance. With the ELB polling mechanism, data is written to local tables and read from distributed tables on different nodes. In this way, data read/write load and high availability of application access are guaranteed.
