- Vertical scale: We use LMDB as a key-value store. This one uses the power of memory mapping. It made our search engine use mainly the disk and will do not need a machine that will have TB of RAM.
- Horizontal scale. We are working on sharding and replications (Raft). Development is progressing well, and the functionality should come out soon.
* As I said previously, we are working on HA with a raft consensus.
* We will add snapshots in no time (disk folder saved in s3). A little more time for backups (version agnostic, need indexing).
We are already working with Louis Vuitton on an application in production. The app is in production from 9 months, and there hasn't been a single problem.
* 2 parts.
- Vertical scale: We use LMDB as a key-value store. This one uses the power of memory mapping. It made our search engine use mainly the disk and will do not need a machine that will have TB of RAM.
- Horizontal scale. We are working on sharding and replications (Raft). Development is progressing well, and the functionality should come out soon.
* Currently, it is not monitored at all. This feature is planned. https://github.com/meilisearch/MeiliSearch/issues/523
* We use a queue for updates. You can find here the complete guide https://docs.meilisearch.com/guides/advanced_guides/asynchro...
* As I said previously, we are working on HA with a raft consensus.
* We will add snapshots in no time (disk folder saved in s3). A little more time for backups (version agnostic, need indexing).
We are already working with Louis Vuitton on an application in production. The app is in production from 9 months, and there hasn't been a single problem.