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| author | Luck <git@lucko.me> | 2020-04-25 20:39:00 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-04-25 20:39:00 +0100 |
| commit | 20b34c16d796e5901381e3a5a6be42e5df3c03cf (patch) | |
| tree | ff8a5766bce36f1a71963162955dcecc9c93e91b | |
| parent | 706a8768b5fc536ed746788cd9c65c7254df6bb4 (diff) | |
| download | spark-20b34c16d796e5901381e3a5a6be42e5df3c03cf.tar.gz spark-20b34c16d796e5901381e3a5a6be42e5df3c03cf.tar.bz2 spark-20b34c16d796e5901381e3a5a6be42e5df3c03cf.zip | |
Fix typo
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -66,7 +66,7 @@ These metrics include: * **TPS** - ticks per second, to a more accurate degree indicated by the /tps command * **Tick Durations** - how long each tick is taking (min, max and average) * **CPU Usage** - how much of the CPU is being used by the server process, and by the overall system -* **Memory Usage** - much much memory is being used by the process +* **Memory Usage** - how much memory is being used by the process * **Disk Usage** - how much disk space is free/being used by the system As well as providing tick rate averages, spark can also **monitor individual ticks** - sending a report whenever a single tick's duration exceeds a certain threshold. This can be used to identify trends and the nature of performance issues, relative to other system or game events. |