Scale without limits: introducing sharding & replication in Meilisearch Cloud

Introduces sharding for horizontal scaling of large datasets and replication for high read availability and geo-distribution to Meilisearch Cloud. Sharding distributes data across nodes, with queries fanning out and results merging. Replication keeps multiple nodes in sync with the same complete dataset for failover. The post details how sharding and replication are composable building blocks, enabling configurations like sharding-only, replication-only, or a combination of both. It also outlines future roadmap items including optimal geo-replication with sharding and self-serve replication UI.