Update content/docs/introduction/overview.md

Co-authored-by: Richard Hartmann <[email protected]>

Author: yolossn

content/docs/introduction/overview.md

@@ -40,9 +40,6 @@ Prometheus's main features are:
 In layperson terms, metrics are numeric measurements, time series mean that changes are recorded over time. What users want to measure differs from application to application. For a web server it might be request times, for a database it might be number of active connections or number of active queries etc.
 
 Metrics play an important role in understanding why your application is working in a certain way. Lets assume you are running a web application and find that the application is slow. You will need some information to find out what is happening with your application. For example the application can become slow when the number of requests are high. If you have the request count metric you can spot the reason and increase the number of servers to handle the load. 
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-Whenever you are defining the metrics for your application you must put on your detective hat and ask this question what all information will be important for me to debug if any issue occurs in my application?
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 ### Components
 
 The Prometheus ecosystem consists of multiple components, many of which are