Merge pull request #10708 from RJM76/patch-1

Typo correction

Author: GitHubber17

articles/service-fabric/service-fabric-controlled-chaos.md

@@ -22,7 +22,7 @@ Large-scale distributed systems like cloud infrastructures are inherently unreli
 
 The [Fault Injection and Cluster Analysis Service](https://docs.microsoft.com/azure/service-fabric/service-fabric-testability-overview) (also known as the Fault Analysis Service) gives developers the ability to induce faults to test their services. These targeted simulated faults, like [restarting a partition](https://docs.microsoft.com/powershell/module/servicefabric/start-servicefabricpartitionrestart?view=azureservicefabricps), can help exercise the most common state transitions. However targeted simulated faults are biased by definition and thus may miss bugs that show up only in hard-to-predict, long and complicated sequence of state transitions. For an unbiased testing, you can use Chaos.
 
-Chaos simulates periodic, interleaved faults (both graceful and ungraceful) throughout the cluster over extended periods of time. A graceful fault consists of a set of Service Fabric API calls, for example, restart replica fault is a graceful fault because this is a close followed by an open on a replica. Remove replica, move primary replica, and move secondary replica are the other graceful faults exercised by Chaos. Ungraceful faults are process exits, like restart node and restrat code pacakge. 
+Chaos simulates periodic, interleaved faults (both graceful and ungraceful) throughout the cluster over extended periods of time. A graceful fault consists of a set of Service Fabric API calls, for example, restart replica fault is a graceful fault because this is a close followed by an open on a replica. Remove replica, move primary replica, and move secondary replica are the other graceful faults exercised by Chaos. Ungraceful faults are process exits, like restart node and restart code package. 
 
 Once you have configured Chaos with the rate and the kind of faults, you can start Chaos through C#, Powershell, or REST API to start generating faults in the cluster and in your services. You can configure Chaos to run for a specified time period (for example, for one hour), after which Chaos stops automatically, or you can call StopChaos API (C#, Powershell, or REST) to stop it at any time.