From 294fe218e589a60db97e2423dcdb68a86999058c Mon Sep 17 00:00:00 2001 From: Sugu Sougoumarane Date: Tue, 16 Jan 2018 10:13:57 -0800 Subject: [PATCH] Incorporate TOC recommended changes As proposed by @bgrant0607 in the review comments. --- proposals/vitess.adoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/proposals/vitess.adoc b/proposals/vitess.adoc index 20eb01a..27baebe 100644 --- a/proposals/vitess.adoc +++ b/proposals/vitess.adoc @@ -4,7 +4,7 @@ *Description*: -Vitess is a database clustering system for horizontal scaling of MySQL. Using the terminology from the link:http://db.cs.cmu.edu/papers/2016/pavlo-newsql-sigmodrec2016.pdf[Pavlo and Aslett NewSQL survey article], Vitess is “sharding middleware”. By encapsulating shard-routing logic, Vitess allows application code and database queries to remain agnostic to the distribution of data onto multiple shards. You can split and merge shards as your needs change, with an atomic cutover step that is performed in seconds. Vitess has been serving all YouTube database traffic since 2011, and has grown to encompass tens of thousands of MySQL nodes. It has also gained increasing adoption in the community with about fifteen companies currently in the pipeline, some of whom have already gone into production. For more details, see the link:http://vitess.io/overview/[Vitess overview]. +Vitess is a database clustering system for horizontal scaling of MySQL. It orchestrates management of MySQL instances and intermediates requests to the cluster. Using the terminology from the link:http://db.cs.cmu.edu/papers/2016/pavlo-newsql-sigmodrec2016.pdf[Pavlo and Aslett NewSQL survey article], Vitess is “sharding middleware”. By encapsulating shard-routing logic, Vitess allows application code and database queries to remain agnostic to the distribution of data onto multiple shards. You can split and merge shards as your needs change, with an atomic cutover step that is performed in seconds. Vitess also supports and automatically handles various scenarios, including master failover and data backups. Vitess has been serving all YouTube database traffic since 2011, and has grown to encompass tens of thousands of MySQL nodes. It has also gained increasing adoption in the community with about fifteen companies currently in the pipeline, some of whom have already gone into production. For more details, see the link:http://vitess.io/overview/[Vitess overview]. *Sponsor / Advisor from TOC*: Brian Grant