anchor.diff:  For information about setting up an Elasticsearch cluster, see the Elasticsearch https://www.elastic.co/guide/en/elasticsearch/reference/current/getting-started.html[Getting Started].
   To view the collected data, you need Kibana.
   
  - The following sections show how to get started quickly with Elastic APM on a local machine.
  +The following sections show how to get started quickly with Elastic APM on a local machine.
   
  +[float]
   === Install and run APM Server
   
  -First, _download APM Server_ and extract for your operating system.
  +First, https://www.elastic.co/downloads/apm/apm-server[download APM Server] for your operating system and extract the package.
   
   In a production environment, you would put APM Server on it's own machines, similar to how you run Elasticsearch.
   You _can_ run it on the same machines as Elasticsearch, but this is not recommended, as the processes will be competing for resources.
  
positive.code: ----------------------------------
  
  The Python agent supports Django and Flask out of the box.
  See _Getting started with Django_ or _Getting started with Flask_ for more information on how to get started.
  
  === Set up Kibana
  
  You can use the `dashboards` that are packaged with APM Server, as mentioned above.
  
  ..Screenshot of Kibana plugin..
  
  
negative.code: [[apm-getting-started]]
  = Getting Started with Elastic APM
  
  == Overview
  
  
  _Elastic APM_ is an application performance monitoring system built on the Elastic Stack.
  It uses Elasticsearch as its data store and allows you to monitor performance of thousands of applications in real time.
  