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[main] (backport #17999) Update deploying-scaling-logstash.md #18002

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2 changes: 1 addition & 1 deletion docs/reference/deploying-scaling-logstash.md
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# Deploying and scaling Logstash [deploying-and-scaling]

The Elastic Stack is used for tons of use cases, from operational log and metrics analytics, to enterprise and application search. Making sure your data gets scalably, durably, and securely transported to Elasticsearch is extremely important, especially for mission critical environments.
The Elastic Stack is used for a great variety of use cases, from operational log and metrics analytics, to enterprise and application search. Making sure your data gets scalably, durably, and securely transported to Elasticsearch is extremely important, especially for mission critical environments.

The goal of this document is to highlight the most common architecture patterns for Logstash and how to effectively scale as your deployment grows. The focus will be around the operational log, metrics, and security analytics use cases because they tend to require larger scale deployments. The deploying and scaling recommendations provided here may vary based on your own requirements.

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