From 5741b5c995f8b75d1c858df1d5c7f5be2ae6755c Mon Sep 17 00:00:00 2001 From: Evander Otieno Date: Mon, 10 Jul 2017 11:10:31 +0300 Subject: [PATCH] Update to modules.md (#23317) Grammar fixes --- akka-docs/src/main/paradox/scala/guide/modules.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/akka-docs/src/main/paradox/scala/guide/modules.md b/akka-docs/src/main/paradox/scala/guide/modules.md index 90412fc74a..cffe9c237c 100644 --- a/akka-docs/src/main/paradox/scala/guide/modules.md +++ b/akka-docs/src/main/paradox/scala/guide/modules.md @@ -159,8 +159,8 @@ Some of the challenges that HTTP tackles: The above is an incomplete list of all the available modules, but it gives a nice overview of the landscape of modules and the level of sophistication you can reach when you start building systems on top of Akka. All these modules -integrate with together seamlessly. For example, take a large set of stateful business objects -(a document, a shopping cart, etc) that is accessed by on-line users of your website. Model these as sharded +integrate together seamlessly. For example, take a large set of stateful business objects +(a document, a shopping cart, etc) that is accessed by on-line users from your website. Model these as sharded entities using Sharding and Persistence to keep them balanced across a cluster that you can scale out on-demand (for example during an advertising campaign before holidays) and keep them available even if some systems crash. Take the real-time stream of domain events of your business objects with Persistence Query and use Streams to pipe @@ -168,4 +168,4 @@ it into a streaming BigData engine. Take the output of that engine as a Stream, operators and expose it as web socket connections served by a load balanced set of HTTP servers hosted by your cluster to power your real-time business analytics tool. -Hope this have gotten you interested? Keep on reading to learn more. +Has this gotten you interested? Keep on reading to learn more.