Move server setup to the top of README.

1 files changed, 8 insertions, 8 deletions

diff --git a/README.md b/README.md
index dcea6e04..84f24f76 100644
--- a/README.md
+++ b/README.md
@@ -51,6 +51,14 @@ In the default configuration tracy is disabled. To enable it, add a `TRACY_ENABL
 
 If you want to profile a short-lived application, add a `TRACY_NO_EXIT` define. In this configuration tracy will not exit until an incoming connection is made, even if the application has already finished.
 
+#### Running the server
+
+The easiest way to get going is to build the standalone server, available in the `standalone` directory. You can connect to localhost or remote clients and view the collected data right away.
+
+If you prefer to inspect the data only after a trace has been performed, you may use the command line utility in the `capture` directory. It will save a data dump that may be later opened in the graphical viewer application.
+
+Alternatively, you may want to embed the server in your application, the same which is running the client part of tracy. Doing so requires that you also include the `server` and `imgui` directories. Include the `tracy/server/TracyView.hpp` header file, create an instance of the `tracy::View` class and call its `Draw()` method every frame. Unfortunately, there's also the hard part - you need to integrate the imgui library into the innards of your program. How to do so is outside the scope of this document.
+
 #### Marking zones
 
 To begin data collection, tracy requires that you manually instrument your application (automatic tracing of every entered function is not feasible due to the amount of data that would generate). All the user-facing interface is contained in the `tracy/Tracy.hpp` header file.
@@ -87,14 +95,6 @@ Fast navigation in large data set and correlation of zones with what was happeni
 
 ![](doc/messages.png)
 
-#### Running the server
-
-The easiest way to get going is to build the standalone server, available in the `standalone` directory. You can connect to localhost or remote clients and view the collected data right away.
-
-If you prefer to inspect the data only after a trace has been performed, you may use the command line utility in the `capture` directory. It will save a data dump that may be later opened in the graphical viewer application.
-
-Alternatively, you may want to embed the server in your application, the same which is running the client part of tracy. Doing so requires that you also include the `server` and `imgui` directories. Include the `tracy/server/TracyView.hpp` header file, create an instance of the `tracy::View` class and call its `Draw()` method every frame. Unfortunately, there's also the hard part - you need to integrate the imgui library into the innards of your program. How to do so is outside the scope of this document.
-
 #### Lua support
 
 To profile Lua code using tracy, include the `tracy/TracyLua.hpp` header file in your Lua wrapper and execute `tracy::LuaRegister( lua_State* )` function to add instrumentation support. In your Lua code, add `tracy.ZoneBegin()` and `tracy.ZoneEnd()` calls to mark execution zones. Double check if you have included all return paths! Use `tracy.ZoneBeginN( name )` to set zone name. Use `tracy.ZoneText( text )` to set zone text. Use `tracy.Message( text )` to send messages.