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Update to modules.md (#23317)

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Grammar fixes
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Evander Otieno 2017-07-10 11:10:31 +03:00 • committed by Johan Andrén
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akka-docs/src/main/paradox/scala/guide/modules.md
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@ -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 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 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 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 of your website. Model these as sharded (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 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. (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 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 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. 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.