diff --git a/docs/plugins_and_modifications/plugins/geysermc.md b/docs/plugins_and_modifications/plugins/geysermc.md index ee33e1cf..50eac7b3 100644 --- a/docs/plugins_and_modifications/plugins/geysermc.md +++ b/docs/plugins_and_modifications/plugins/geysermc.md @@ -2,7 +2,6 @@ id: geysermc title: GeyserMC slug: /plugins/geysermc -hide_title: true hide_table_of_contents: true sidebar_label: GeyserMC description: A cool plugin called GeyserMC, which allows users to connect to java servers through the bedrock client. @@ -15,14 +14,8 @@ keywords: - Bloom.host - Pterodactyl Panel - Minecraft -image: https://bloom.host/assets/images/logo.png --- -
-logo -

GeyserMC

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- ### What does the plugin do? GeyserMC enables clients from Minecraft Bedrock Edition to join your Minecraft Java server. diff --git a/docs/running_a_server/spark.md b/docs/running_a_server/spark.md index 1a15e9ad..864c0640 100644 --- a/docs/running_a_server/spark.md +++ b/docs/running_a_server/spark.md @@ -15,14 +15,8 @@ keywords: - Bloom.host - Pterodactyl Panel - Minecraft -image: https://bloom.host/assets/images/logo.png --- -
-logo -

Spark

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- ### What does the plugin do? Spark is a performance profiling plugin (with limited availability for Forge and Fabric) that can display server information, such as TPS, memory, tick durations, CPU usage, and disk usage. But more importantly it can create a performance profile that can be viewed on a fully feature web interface. It does not require any configuration and is incredibly easy to install. @@ -47,20 +41,17 @@ Once you are ready to check the results of the profiler you should run `/spark p When you open the link you'll find a useful web interface that displays all the data collected. -
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+![img](/running_a_server/spark/1.png) ## Other Useful Commands Running `/tps` will display an output that looks like this: -
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+![img](/running_a_server/spark/2.png) Running `/spark healthreport` will display an output that looks like this: -
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+![img](/running_a_server/spark/3.png) The values will depend on your server, newer versions of Spark will contain more useful information, as the utility is in active development.